š§ AI Assessment: Discusses EU AI regulation (AI Act) with direct relevance to European AI policy and enforcement, though not focused on sovereignty or open-source LLMs.
The European Commission proposes ... defined as <strong>a system that is either software-based or embedded in hardware devices and is designed to perform tasks that would typically require human intelligence</strong>....
The European Commission proposes a comprehensive definition of AI in the AI Act. It is broadly defined as a system that is either software-based or embedded in hardware devices and is designed to perform tasks that would typically require human intelligence.
The AI Act is currently in the proposal stage, and there is no specific timeline as to when it will come into force. The act needs to be approved by the European Parliament and the Council of the European Union.
The AI Act covers a broad spectrum of AI systems and applications to ensure safe, transparent, and reliable usage of AI across multiple sectors.
Enforcement is crucial in the realization of the objectives of the AI Act.
š§ AI Assessment: Directly discusses the EU AI Act's prohibitions and implications for European AI regulation and sovereignty.
Exploitation of Vulnerabilities: AI systems that exploit vulnerabilities due to a person's age, disability, or specific social or economic situation to materially distort their behavior in a harmful manner are banned. Social Scoring: The Act prohibits AI systems that evaluate or classify people based on their social behavior or predicted personal characteristics, leading to detrimental treatment in unrelated social contexts or in a manner that is disproportionate or unjustified.
With the historic release of the EU Parliament's approved text of the EU AI Act yesterday and the creation of The Talking EU AI Act today, we have the world's most comprehensive attempt at grappling with its greatest technological achievement and the ability to learn and probe into that framework through ordinary conversation at any time and before any but a few humans fully understand it.
The prohibitions of certain practices concerning the development, deployment, and use of AI systems become effective 6 months after the Act's effective date and involve penalties potentially almost double those of the GDPR, so let's start with a detailed presentation of those prohibitions in Article 5.
Subliminal Manipulation: The use of AI systems that deploy subliminal techniques or manipulative or deceptive practices to materially distort a person's behavior, significantly impairing their ability to make informed decisions. Such actions are prohibited if they cause, or are likely to cause, significant har
š§ AI Assessment: Discusses EU AI regulation (AI Act) with direct relevance to European AI policy and risk-based governance.
The AI Act follows a risk based approach: <strong>it regulates #AI systems depending on their purpose and the risks they involve, particularly for the health and fundamental rights of the users</strong>.
In this article we are going to highlight some of the key aspects of the AI Act.
The AI Act follows a risk based approach: it regulates #AI systems depending on their purpose and the risks they involve, particularly for the health and fundamental rights of the users.
For certain lower risk systems the AI Act provides transparency obligations: users need to be aware that they are interacting with an artificial intelligence tool.
For a closer look at the AI Act, you may want to check out my article: The European regulation on artificial intelligence: the AI Act.
š§ AI Assessment: Discusses EU AI Act regulation and its impact on startups, touching on EU tech policy and compliance but not directly on sovereignty or open-source EU LLMs.
When Brussels watched AI leap from research labs to everyday lives around 2018, alarm bells rang. With scandals like Cambridge Analytica fresh in mind, the EU knew it needed guardrails. Fast forward: In April 2021, the EU proposed the AI Act, Europeās bid to balance innovation with fundamental rights.
The Act becomes mandatory in August 2026, but waiting is risky. Use this time to prepare - compliance will soon be a market access prerequisite. AI is classified into 4 risk levels: Minimal, Limited, High, and Unacceptable.
Recently, while training AI-focused climate-tech startups from Climate KIC in the UK and Ireland, I was struck by one thing: how profoundly unclear the EU AI Act still is to the entrepreneurs who need clarity the most. These are not casual users of technology, they're innovators racing to mitigate climate change, entrepreneurs whose ideas promise tangible benefits for the planet.
When Brussels watched AI leap from research labs to everyday lives around 2018, alarm bells rang. With scandals like Cambridge Analytica fresh in mind, the EU knew it needed guardrails. Fast forward: In April 2021, the EU proposed the AI Act, Europeās bid to balance innovation with fundamental rights.
After heated debates, lobbying battles, and countless revisions, the Act passed in early 2024. ... With the AI Act, Europe tied regulation directly to its vision of responsible innovation.
š§ AI Assessment: Discusses the EU AI Act and its global implications, touching on AI regulation and policy but not deeply on European digital sovereignty or open-source EU LLMs.
On <strong>December 8th, 2023, the European Union passed an AI act that could influence global perspectives on how we view and use artificial intelligence</strong>. Although this long-maturing piece of legislation won't be enacted until around 2025, the whole ...
However, in a 2023 legislative session, generative AI laws addressing the issue of privacy were introduced. Around 25 states, Puerto Rico and the District of Columbia have introduced artificial intelligence bills. Currently, 15 states and Puerto Rico have enacted some form of legislation. These laws include Montanaās SB384 Act, the California Consumer Privacy Act (CCPA), the Connecticut Privacy Act(CTPA), and the Colorado Privacy Act (CPA).
Generative AI providers must operate within and uphold the integrity of state power that protects the existing social order, which thus forces users to comply with AI systems whether they agree or not. In October 2023, the Biden administration announced a landmark executive order with similar actions as outlined in the EUās AI Act.
With the European Unionās new AI Act, all eyes are on the Biden administration to see what the United States' next steps will be. Will the executive branches work together swiftly to come up with terms of agreement on Bidenās proposal?
The EUās AI Act sets specific criteria that seek to protect its citizens from AI abuse, while still welcoming the opportunities gifted by this mammoth tech discovery.
š§ AI Assessment: Discusses EU AI Act and global AI regulation but lacks focus on European digital sovereignty or open-source EU LLMs.
The European Union's AI Act is <strong>a ground breaking piece of legislation that combines legal principles and concrete regulations</strong>. It aims to address the complexities of AI, covering AI systems from low-risk to high-risk.
In this comprehensive article, we will explore the legal landscape of AI, examining the OECD's principles, the EU AI Act, how different global jurisdictions, including Australia, the United States, China, Canada, the United Kingdom, Japan, and the African Union, are tackling AI from a legal perspective.
The European Union's AI Act is a ground breaking piece of legislation that combines legal principles and concrete regulations. It aims to address the complexities of AI, covering AI systems from low-risk to high-risk. The Act emphasizes data governance, transparency, and harmonized regulations across member states.
Notable examples include Google LLC v. Oracle America, Inc., which dealt with AI in the context of copyright and fair use, and Facebook v. Duguid, which had implications for the regulation of automated messaging systems. Federal Initiatives: Federal agencies, such as the Federal Trade Commission (FTC), have been active in addressing AI-related issues.
Australia's approach to AI regulation is characterized by ongoing efforts to adapt to the rapidly evolving AI landscape and maintain a balance between innovation and ethics. Privacy Legislation: The Australian Privacy Principles (APPs) under the Privacy Act 1988 form the backbone
š§ AI Assessment: Directly discusses the EU AI Act's compliance timelines, enforcement, and regulatory infrastructure, aligning with European AI sovereignty and regulation.
With the MDR and the IVDR compliance dates having been pushed forward, the compliance date of the AI Act will likely coincide. For example, the ultimate compliance date is set at the 31st of December 2028. The AI Act is expected to come into effect in 2024, with a transition period of two years.
On Friday the 8th of December the trilogue continued until late when a final agreement was struck between the Parliament and the Council. This effectively means that the basic outline of the AI Act has been agreed on, and the finalization of the text can begin.
With the MDR and the IVDR compliance dates having been pushed forward, the compliance date of the AI Act will likely coincide. For example, the ultimate compliance date is set at the 31st of December 2028. The AI Act is expected to come into effect in 2024, with a transition period of two years.
Another timeline to watch out for is the timeline on prohibited AI systems, which will already be enforced 6 months after the coming into force of the AI Act. If a prohibited form of AI is included in a device, one will need to consider whether such application may still be marketed.
With the final text being agreed and the AI Act (very likely) coming into force in 2024, we will need to keep a close watch on Notified Bodies and their preparedness to audit against the AI Act. For example, a Notified Body will need to file an application to become a conformity assessment body under the AI Act (article 31 in the Council proposal).
š§ AI Assessment: Directly discusses the EU AI Act's provisions, thresholds for high-impact GPAIs, and regulatory stance on foundation models, including Mistral AI's Mixtral-8x7B.
The AI Actās threshold will be that <strong>models whose training required more than 10^25 FLOPS (more than 10 trillion trillion) of computer power will automatically be considered as high-impact GPAIs</strong>.
The political alignment is especially an important achievement considering that for a brief moment of time, it looked as if the AI Act could be stymied by lobbying efforts from Big Tech companies. As I wrote about last week, the regulation of āfoundation modelsā was particularly a controversial talking point.
Luckily, the EU policymakers have agreed on not exempting foundation models from the legislation. This is what I will write a bit more about today along with the other important principles and provisions we can expect from the AI Act.
This would exempt, the French AI company Mistral AIās newest model Mixtral-8x7B and Meta AIās Llama 2. Additionally, AI systems used for the sole purpose of research and innovation are not included in the requirements, as these are explicitly not covered by the scope of the AI Act.
Additional obligations will be imposed on āhigh-impact GPAI models with systemic riskā. In line with Bidenās Executive Order from October 30, the threshold to decide if a GPAI model is "high impact" is mainly based on the amount of computing power used to train the model, measured in floating point operations per second (FLOPS). The AI Actās threshold will be that models whose training required more than 10^25 FLOPS (more than 10 trillion trillion) of
š§ AI Assessment: Discusses the EU AI Act's implications for AI regulation and fundamental rights, touching on European AI policy but not directly on sovereignty or open-source LLMs.
It also bans some uses that are deemed to pose an āunacceptable risk.ā They include some pretty out-there and ambiguous use cases, such as AI systems that deploy āsubliminal, manipulative, or deceptive techniques to distort behavior and impair informed decision-making,ā or exploit vulnerable people. The AI Act also bans systems that infer sensitive characteristics such as someoneās political opinions or sexual orientation, and the use of real-time facial recognition software in public places.
Itās official. After three years, the AI Act, the EUās new sweeping AI law, jumped through its final bureaucratic hoop last week when the European Parliament voted to approve it. But the reality is that the hard work starts now.
AI has become mainstream, fundamentally transforming the nature of work for people and the organizations that employ them. Join MIT Technology Reviewās editors and reporters for a free LinkedIn Live session about how AI is changing the way we work on March 26. The EU Act will enter into force in May, and people living in the EU will start seeing changes by the end of the year.
Some AI uses will get banned later this year: The AI Act places restrictions on AI use cases that pose a high risk to peopleās fundamental rights, such as in healthcare, education, and policing. These will be outlawed by the end of the year.
It also bans some uses that are deemed to pose an āunacceptable risk.ā They include some pretty out-there and ambiguous use cases, such as AI syste
š§ AI Assessment: Directly addresses the EU AI Act, a cornerstone of European AI regulation and digital sovereignty.
The EU AI Act is <strong>the first of its kind comprehensive law regulating AI</strong> and, according to EU legislators, it achieves a balance between protecting fundamental rights and fostering innovation.
The EU AI Act is the first of its kind comprehensive law regulating AI and, according to EU legislators, it achieves a balance between protecting fundamental rights and fostering innovation.
Classification of AI systems: The AI Act introduces a risk-based approach, where rules vary according to the risk level: (a) Unacceptable level of risk: Prohibitions apply to these AI systems i.e.
The EU AI Act will apply to entities which are placing AI systems on the market or putting them into service in the EU, regardless of where they are based or established.
Review the transparency practices that are in place and compare them to the transparency obligations in the EU AI Act, following the different levels of AI systems agreed upon.
š§ AI Assessment: Directly addresses EU AI Act compliance, a core pillar of European AI regulation and digital sovereignty.
The EU Artificial Intelligence Act (AI Act) is the worldās first comprehensive AI regulation, aiming to ensure ātrustworthy AIā by imposing rules based on an AI systemās risk level. High-risk AI systems, which are those systems that pose serious risks to health, safety, or fundamental rights, and face the strictest obligations under the Act.
The EU Artificial Intelligence Act (AI Act) is the worldās first comprehensive AI regulation, aiming to ensure ātrustworthy AIā by imposing rules based on an AI systemās risk level. High-risk AI systems, which are those systems that pose serious risks to health, safety, or fundamental rights, and face the strictest obligations under the Act.
These obligations will soon be legally enforceable (most provisions apply starting 2026 after a transition period), with hefty fines for non-compliance (up to ā¬35 million or 7% of global turnover). This playbook provides a practical how-to guide for organizations to comply with the AI Actās requirements for high-risk AI systems, structured as a step-by-step playbook.
High-risk use cases (like AI in recruitment, credit scoring, biometric ID, etc.) can significantly impact peopleās lives. The AI Act mandates that before such systems are deployed or sold in the EU, providers and deployers implement numerous ātrustworthinessā measures.
In short, high-risk AI must undergo risk management, data governance, technical documentation, transparency provisions, human oversight, rigorous testing for accuracy &
š§ AI Assessment: Directly discusses the EU AI Act, GDPR alignment, and European AI infrastructure with technical details on compliance and data governance.
The AI Act <strong>imposes comprehensive requirements on developers of high-risk AI systems</strong>, encompassing risk management, data governance, monitoring, record-keeping, transparency, human oversight, and cybersecurity.
Mechanisms such as Data Spaces and Minimal Interoperable Mechanisms (MiMs) that support transparency will enable the same business opportunities with guarantees. Let's understand in this newsletter what is inside the AI Act and how it can be addressed with the Data Spaces technology and mechanisms as the FAIR AI MIM5, which I have the honour of being part of the Working Group, and you are also welcome to contribute.
The alternatives and solutions, such as crowd management, should avoid the use of video images and face recognition, as we have proposed alternatives based on RF signal analysis to be aligned with the GDPR and AI Act.
The AI Act imposes comprehensive requirements on developers of high-risk AI systems, encompassing risk management, data governance, monitoring, record-keeping, transparency, human oversight, and cybersecurity.
The limited risk category covers systems with reduced potential for manipulation, subject to specific transparency obligations. Minimal or no-risk AI systems do not fall under any other category, implying less stringent regulatory requirements. While the Act is a significant step forward, it raises questions about the balance between innovation and regulation.
š§ AI Assessment: Directly addresses the EU AI Act, a cornerstone of European AI regulation and digital sovereignty.
The worldās first comprehensive legal framework for artificial intelligence ā the EU AI Act ā <strong>began taking effect in February 2025, with full enforcement expected by the end of 2030</strong>.
It defines which AI systems can be used in the EU, as well as compliance requirements and strict penalties for non-compliance. The Act will affect most (if not all) existing and future AI products.
AI development generally follows this pattern: The US innovates, the EU regulates. For now, AI technology is growing faster than the regulations surrounding it, and the EU AI Act is the latest attempt to balance innovation with end-user safety.
It also has a special set of requirements for general-purpose AI (GPAI) products like ChatGPT or Claude. Since these products can serve more than one purpose, itās impossible to assess their potential risks based on applications and use cases. Instead, the AI Act evaluates them based on the modelās computational power and systemic risk.
Whatās covered: AI systems that are used for legitimate purposes but can seriously impact health, safety, and rights of a person (e.g. analytics tools in healthcare, finance, transportation, learning systems, remote biometric identification) Requirements: Risk assessment, activity logging, dataset quality standards, transparent and detailed documentation, and more
š§ AI Assessment: Directly discusses the European AI Act, its risk-based approach, enforcement framework, and its role as a launchpad for EU AI leadership, aligning with European AI sovereignty and regulation.
The AI Act is much more than a rulebookāit's <strong>a launchpad for EU startups and researchers to lead the global race for trustworthy AI</strong>.
Which is why I promoted a proportionate risk-based approach. This makes the EU AI Act unique ā it allows us to ban AI uses that violate fundamental rights and EU values, set clear rules for high-risk use cases, and promote innovation without barriers for all low-risk use cases.
Graet presentation. In my opinion we should consider eu ai Act + eu data Act + dsgvo + ā¦ as an integrated approach from governance, Risk and efficiency Enterprise Perspektive ensururing the safe and ethical implementation of AI for all.
The AI Act is much more than a rulebookāit's a launchpad for EU startups and researchers to lead the global race for trustworthy AI.
And finally, we agreed on a robust enforcement framework for the AI Act (distinguishing it from the many voluntary frameworks around the world).
š§ AI Assessment: Directly discusses the EU AI Act, its regulatory impact, and sovereignty implications for European AI infrastructure.
After a marathon three-day negotiation by the trialogue composed of the European Commission, Council, and Parliament, on December 8, 2023, they approved the AI Act <strong>to regulate the use of artificial intelligence systems in the European Union</strong>.
After a marathon three-day negotiation by the trialogue composed of the European Commission, Council, and Parliament, on December 8, 2023, they approved the AI Act to regulate the use of artificial intelligence systems in the European Union.
This outcome was by no means a foregone conclusion until a few days ago after the French, German, and even Italian governments called for replacing the AI Act with the adoption of a mere code of conduct to decrease regulatory obligations on European companies to enable them to better compete in the international arena.
European legislators disagreed with this approach, believing (in my opinion, rightly so) that a balanced regulation would have instead forced foreign companies to comply with the AI Act as well, creating a more balanced environment that would have allowed for fairer competition.
A further highly discussed exception to the applicability of the AI Act operates in relation to AI systems exploiting free and open source software. But the scope of the exception is so narrow that basically it will apply only to personal usage of artificial intelligence.
š§ AI Assessment: Discusses the EU AI Act's impact on business, regulation, and human-centric AI, relevant to EU tech policy but not directly addressing sovereignty or open-source LLMs.
There are some exemptions. Thereās a list of situations where law enforcement organizations can deploy āunacceptableā AIs, including preventing terrorism and locating missing people. There are also exemptions for scientific study. The Act says āAI should be a human-centric technology.
Those responsible for writing it have said that the aim is to protect citizens' rights and freedoms while also fostering innovation and entrepreneurship. But the 460-odd published pages of the Act contain a lot more than that.
Potentially even more damaging, though, would be the impact on a businessās reputation if itās found to be breaking the new laws. Trust is everything in the world of AI, and businesses that show they canāt be trusted are likely to be further punished by consumers. ... The act states that āAI should be a human-centric technology.
There are some exemptions. Thereās a list of situations where law enforcement organizations can deploy āunacceptableā AIs, including preventing terrorism and locating missing people. There are also exemptions for scientific study. The Act says āAI should be a human-centric technology.
Limited and minimal-risk use cases could include applications of AI purely for entertainment, such as in video games, or in creative processes such as generating text, video or sounds. There will be fewer requirements here, although there will still be expectations regarding transparency and ethical use of intellectual property. ... The Act makes it clear that AI
š§ AI Assessment: Discusses digital sovereignty and privacy in the context of Web 3 and challenges to corporate data aggregation, with relevance to EU tech policy but not explicitly European.
As this new paradigm takes shape, a vision is emerging for the Web 3 as a decentralized future that respects privacy, protects autonomy, and challenges power distribution. Some of this alternatives could truly disrupt the dominance of major players and restore <strong>digital sovereignty</strong> to individuals.
Reflections and Learnings After Collecting and Exploiting Personal Data of Millions of Users in Latin America. Introduction Wifers, the company I co-founded in Argentina in 2016, was the result of a process of building on previous experiences together with a unique industry context.
Wifers, the company I co-founded in Argentina in 2016, was the result of a process of building on previous experiences together with a unique industry context. Having previously led e-commerce and digital identity projects, it seemed clear to me that the next step would be a convergence between the digital and physical worlds.
The resistance against surveillance capitalism, fueled by the dominance of digital advertising giants in the Web 2 era and signed by the Facebook-Cambridge Analytica scandal, has raised awareness and sparked a strong desire among consumers and developers to challenge and weaken the data aggregation practices of corporations and governments.
The vision was to transfer the knowledge and tools acquired by digital businesses during the boom of e-commerce a few years before to physical stores, which still represented over 90% of total commerce.
š§ AI Assessment: Directly addresses European digital sovereignty, data localization, and sovereign cloud frameworks with regulatory and industry context.
The privacy of data and enforcement of laws have naturally paved way for Sovereign Cloud, a framework of controls that ensures the way cloud is build and operate so that the data is processed and stored within the specific geography / sovereign soil and prevents foreign access under all circumstances thus aligns with the fundamental principle of <strong>digital sovereignty</strong> in real sense.
Who is responsible for meeting data sovereignty requirements in your organization? 12. Can you use technology to help monitor your data and generate reports on the data of the data (Read, metadata) that you own? In some ways, organizations that are about to make a digital transformation have an advantage here, as they can design their cloud native workloads to better align with data sovereignty goals by design.
An IDC global report found that 50% of surveyed organisations in regulated industries that included public sector, financial services and health care etc are facing a national mandate to leverage clouds that provide complete data sovereignty. For governments, sovereign cloud is all about protecting critical national data, they are increasingly recognising its importance in enabling economic growth and innovation, thus to strike a right balance between data security and cross border flow of data for digital trade without compromising either of the tenets or modus operandi for any/many multi-national organisations to optimize costs, security and efficiency is a tight rope walk
š§ AI Assessment: The post discusses digital sovereignty for enterprises with a focus on control, governance, and compliance, aligning with EU tech policy themes but framed for Indian regulations.
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š§ AI Assessment: Discusses digital sovereignty in a business context with references to GDPR and EU initiatives, though not exclusively focused on European AI infrastructure.
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š§ AI Assessment: Directly discusses European digital sovereignty, GDPR limitations, and EU cloud projects as key components of a new internet governance model.
Some legal and political boarders ... sovereignty could mean that <strong>instead of a unified world wide internet, citizens will have to connect to their national internet, each with its own rules</strong>....
Some legal and political boarders already exist in the cyberspace, such as the ones concerning accessible data and national law, but they can be porous and distort quite easily. Introducing digital sovereignty could mean that instead of a unified world wide internet, citizens will have to connect to their national internet, each with its own rules.
It means that the state has a complete control of service providers, websites and information that can be accessed. Russia also passed a cyber sovereignty law to control web traffic closely. Looking at Europe, we face the reality that GDPR is not enough for an efficient protection and ownership of data. The question is, should we also move towards a digital sovereignty?
A European cloud is one of the complementary projects in process, which aim to guarantee a sovereignty of industrial, healthcare, and strategic data to European countries. Internet governance is hard to balance as it involves states but also private companies that respond to their own states rules.
Even though the country is known for its āGreat Firewallā and strict censorship, Huawei, the main stakeholder in the New IP project, claims that this project has been designed purely to meet the new technical requirement of our digital world, such as holograms,
š§ AI Assessment: Directly addresses European digital sovereignty, open-source relevance, and EU policy challenges.
The concept of <strong>digital sovereignty</strong> should, in reality, be simple: to have complete control and ownership of one's digital 'footprint'; to avoid lock-in; to fully understand all interactions between internal and external systems, so as to be able to operate in a lean way, both in a 'business as usual' mode and in case interventions are needed to defend one's digital assets.
This growing focus on digital sovereignty is an increasingly relevant issue at the national and European level, as demonstrated by the agreement between the Italian and French economics ministries for a common digital strategy, which includes sovereignty as a key theme.
Currently, there is no single definition of this concept. The urgency to regulate the use of data risks generating a 'hashtag' effect, with each provider attempting to bring its dynamics under the umbrella of digital sovereignty to establish its relevance (a bit like what happened at the time with the term 'cloud').
The concept of digital sovereignty should, in reality, be simple: to have complete control and ownership of one's digital 'footprint'; to avoid lock-in; to fully understand all interactions between internal and external systems, so as to be able to operate in a lean way, both in a 'business as usual' mode and in case interventions are needed to defend one's digital assets.
In addition, organisations also demand 'cost sovereignty', i.e. a greater control over IT spending by being
š§ AI Assessment: Discusses UK digital sovereignty and regulatory uncertainty post-Brexit, relevant to EU tech policy debates.
The UK's digital legal regime has been uncertain since it left the European Union, with a reform of the landmark EU privacy law stalled in parliament, and numerous regulatory reviews and underway proposals.
The UK's digital legal regime has been uncertain since it left the European Union, with a reform of the landmark EU privacy law stalled in parliament, and numerous regulatory reviews and underway proposals.
Tech firms have called for clarity, and expressed fear that the government will make the UK into such a maverick regime that they will be blocked from doing digital business overseas.
š§ AI Assessment: Discusses digital sovereignty in the context of immersive computing and metaverse, touching on policy enforcement but not directly addressing EU AI infrastructure or GDPR.
As Artificial Intelligence contextualizes biometric data to understand individualās intentions in larger populations and platforms generate spatial computing capabilities to digitally enhance user experiences in larger communities, we may eventually achieve human-centric computing at a global scale - i.e., the āMetaverseā. For the purposes of this paper, I will refer to āDigital Sovereigntyā as the ability to establish and enforce policy in such environments.
As Artificial Intelligence contextualizes biometric data to understand individualās intentions in larger populations and platforms generate spatial computing capabilities to digitally enhance user experiences in larger communities, we may eventually achieve human-centric computing at a global scale - i.e., the āMetaverseā. For the purposes of this paper, I will refer to āDigital Sovereigntyā as the ability to establish and enforce policy in such environments.
Although technology has not yet reached this point, a true VR environment will engage all five senses (taste, sight, smell, touch, sound), but it is important to say that this is not always possible. From the user's perspective, VR produces the felt experience of "presence" - i.e., the user feels physically present in the digital environment, irrespective of where they are actually located at the time.
Sometimes referred to as hybrid reality, Mixed Reality (MR) is the merging of real and virtual worlds to produce new environments and visualizations where physical
š§ AI Assessment: Directly addresses European digital sovereignty, data protection, and cloud independence with explicit focus on sovereignty, compliance, and interoperability.
Sovereign clouds offer continuous protection and secure accessibility controls to enable new value and opportunities for national growth. Protect and control confidential or restricted data with the data residency and data sovereignty that a sovereign cloud provides, ensuring compliance with changing data privacy laws using a trusted cloud that supports a nationās digital economy.
Sovereign clouds offer continuous protection and secure accessibility controls to enable new value and opportunities for national growth. Protect and control confidential or restricted data with the data residency and data sovereignty that a sovereign cloud provides, ensuring compliance with changing data privacy laws using a trusted cloud that supports a nationās digital economy.
By bringing in the ecosystem together, the platform can support a healthy suite of service and application developers and strengthen the digitalization efforts in their region without creating large risks to lose control over the technology and the data. ... Sovereign Clouds are designed to support customers in a security-first environment with unparalleled compliance, visibility, and scale. Transform National Capability - Data Access and Integrity with national cloud Ā· Enhance Resilience, Data Security, Compliance and fortification Ā· Data Sovereignty and Preserve Data Jurisdiction Control
āSovereignty is not protectionism, lock-in systems, or closed systems, but the freedom to choose! We are proud to be part of VMware
š§ AI Assessment: Directly addresses European digital sovereignty, GDPR, and AI infrastructure with strategic depth.
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š§ AI Assessment: Directly addresses European digital sovereignty, cloud independence, and regulatory compliance in a multi-cloud context.
For achieving <strong>digital sovereignty</strong> in a multiple-cloud environment, an organizationās multi-cloud strategy must meticulously adhere to global, local, regional, and industry-specific regulatory requirements, guaranteeing compliance wherever they host workloads.
It also involves developing sovereign cloud solutions and empowering states to regulate and control digital technology and services. In simple terms ā where data gets stored, moved and who controls the data. ... In cloud applications, data resides in the cloud. Controlling this data in the cloud to achieve data sovereignty requires having control of the cloud infrastructure (cloud sovereignty).
While these hyper scalers have tried to address the need for local digital sovereignty by establishing local data centers, compliance programs, and contractual commitments, the complex landscape of data sovereignty, #compliance, legal requirements, and customer expectations poses ongoing challenges.
For achieving digital sovereignty in a multiple-cloud environment, an organizationās multi-cloud strategy must meticulously adhere to global, local, regional, and industry-specific regulatory requirements, guaranteeing compliance wherever they host workloads.
The emma | Multi-Cloud Management Platform platform enables businesses to maintain digital sovereignty by centralizing control, governance, and security measures across all cloud deployments. It ensures that sensitive data and workloads are handled with utmost
š§ AI Assessment: Directly addresses EU digital sovereignty, dependency reduction, and data governance under European laws.
The EUās <strong>digital sovereignty</strong> strategy also focuses on reducing dependency on non-European digital platforms and services. This includes investing in homegrown technology and infrastructure, fostering innovation within the bloc, and ensuring that European laws govern the data of its citizens.
Digital sovereignty refers to a nation's ability to control its digital ecosystem, including data, networks, and communication infrastructures. This concept has gained significant importance in recent years, particularly as the United States and the European Union have started to adopt more protectionist policies.
In the United States, digital sovereignty is closely tied to national security and economic interests. The U.S. government has been keen on safeguarding its digital infrastructure from foreign interference, especially in the wake of cyber-attacks and concerns about data privacy.
The EUās digital sovereignty strategy also focuses on reducing dependency on non-European digital platforms and services. This includes investing in homegrown technology and infrastructure, fostering innovation within the bloc, and ensuring that European laws govern the data of its citizens.
The advantages of digital sovereignty and protectionist policies are multifaceted. They bolster national security, safeguard user privacy, and stimulate domestic industries. However, these policies also have drawbacks. They can lead to a fragmented global digital infrastructure, impeding internat
š§ AI Assessment: Directly addresses European digital sovereignty, data control, and infrastructure with a policy-focused report.
Digital Sovereignty is an umbrella term that refers to <strong>the ability to exercise control over digital assets, such as data, content, or digital infrastructure, or over the use of those assets</strong>.
A new report, jointly developed by Plum consulting and Oxford Information Labs (Oxil) reviews the origins, current positions and recent claims made in the name of Digital Sovereignty.
https://plumconsulting.co.uk/digital-sovereignty-the-overlap-and-conflict-between-states-enterprise-and-citizens/
š§ AI Assessment: Discusses digital sovereignty and data control with relevance to EU regulations, though framed as a corporate solution rather than a policy debate.
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š§ AI Assessment: Directly addresses European digital sovereignty, data sovereignty risks, and national security implications.
Digital sovereignty refers to <strong>a nation's ability to manage its own digital assets, including data, networks, and services, free from external influence or control</strong>.
The commercial exploitation of personal data by corporations not only affects individual privacy but also compromises national security. Data harvested and stored in foreign lands can be exploited or even weaponized, diminishing the digital sovereignty of the nation from which the data originates.
In this blog post, we'll delve deep into the multifaceted crisis affecting digital sovereignty and explore ways to fortify it.
Digital sovereignty refers to a nation's ability to manage its own digital assets, including data, networks, and services, free from external influence or control.
It's an extension of a country's sovereignty in the physical realm to its digital footprint.
š§ AI Assessment: Directly addresses European digital sovereignty, data protection, and citizen participation in AI/digital tech governance.
Finally, digital sovereignty <strong>requires that citizens have a voice in the development and use of digital technologies</strong>. This includes the ability to access and use digital tools and services, as well as the ability to participate in public debates ...
It is becoming increasingly important as more aspects of our lives and economies become digitized, and as the use of digital technologies becomes a key factor in national security, economic development, and social welfare. Digital sovereignty is composed of several key elements, each of which is critical for a nation to maintain control over its own digital future.
One of the most important aspects of digital sovereignty is the ability to protect the privacy and security of citizens' data. This requires strong data protection laws, as well as robust technical measures to ensure the confidentiality, integrity, and availability of data.
Digital sovereignty also involves the ability to develop and control new technologies, particularly those that are strategically important for national security and economic competitiveness. This requires investment in research and development, as well as policies and incentives that encourage the growth of the digital industry within the country.
Finally, digital sovereignty requires that citizens have a voice in the development and use of digital technologies. This includes the ability to access and use digital tools and services, as well as the ability to participate in public
š§ AI Assessment: Directly addresses European digital sovereignty, strategic infrastructure, and EU policy initiatives with specific examples.
Call it <strong>the geopolitics of digital technologies or the awareness that we must participate in the ongoing competition for technological leadership between the U.S.</strong>
The turning points from the European Commission about the importance of data and digital technologies are various. European Commission President Ursula von der Leyen, in the State of the European Union (SOTEU) 2022, announced a push to create a new fund for European sovereignty: āI will push to create a new European Sovereignty Fund.
Let's make sure that the future of industry is made in Europe.ā The push focuses, among other points, on digital and data as elements of strategic focus along with cybersecurity, cloud, edge, etc. For more background, read "A European Sovereignty Fund for an industry Made in Europe."
Even the French presidency announced it in The Building Europe's Digital Sovereignty conference to take stock of recent progress on the continent, initiate discussions and create momentum to continue building Europe's digital sovereignty and show how the European Union can take charge of its destiny in the digital age.
Wish to point out that an efficient key management system, scalability and interoperability of the solutions and well established standards are some of its challenges and open problems to wide deployments of digital sovereignty and its sibling data sovereignty.
š§ AI Assessment: Directly discusses European digital sovereignty, national/international efforts, and EU-specific initiatives like foundation LLMs.
Are you aware of national (or given the effort, more likely international) efforts (or to start with, deliberations) to develop "digital sovereignty" over AI capability, developing their own foundation LLMs, e.g.
Are you aware of national (or given the effort, more likely international) efforts (or to start with, deliberations) to develop "digital sovereignty" over AI capability, developing their own foundation LLMs, e.g.
The question ādo we need sovereign AI?ā was a motif throughout the recent parliamentary inquiry into Gen ai in education ... Thank you for sharing this Simon Buckingham Shum . As an African educator I am excited and terrified at the same time - maybe because my understanding and interpretation is different. Reference to " digital sovereignty and democratizing access to LLMs" worries me.
"The initiative aims to ensure European digital sovereignty and democratise access to LLMs." https://www.utu.fi/en/news/press-release/university-of-turku-and-silogen-launch-consortium-to-build-the-worlds-largest
We certainly see language-specific initiatives, e.g. Sweden https://www.ai.se/sv/projekt/gpt-sw3 (and I've heard about African efforts but can't find links) ā to break the dominance of English, and the specific cultural biases. But the arguments around AI sovereignty for public sector services are not language-specific.
š§ AI Assessment: Discusses AI sovereignty and data control with a focus on cloud infrastructure, though framed from a non-EU (AWS) perspective.
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š§ AI Assessment: Directly addresses European AI sovereignty, digital autonomy, and infrastructure independence with a focus on national AI clouds and regulatory frameworks.
š§ AI Assessment: Directly discusses sovereign AI as an extension of digital sovereignty, a core European AI sovereignty topic, with expert analysis.
Sovereign AI is <strong>an AI-era offshoot of digital sovereignty</strong> ā the idea that controlling digital technology is critical to defending and promoting national interest ā said technology policy expert Pablo Chavez , an adjunct senior fellow with ...
Sovereign AI is an AI-era offshoot of digital sovereignty ā the idea that controlling digital technology is critical to defending and promoting national interest ā said technology policy expert Pablo Chavez , an adjunct senior fellow with Center for a New American Security (CNAS) ās Technology and National Security Program.
āI don't know ā at least for the moment ā if a lot of these sovereign AI plans can actually launch and move forward without private sector cooperation,ā Chavez said. āThere's a lot of reliance on technical infrastructure and other technology provided by private sector entities, so AI sovereignty in reality cannot be fully independent of government efforts.ā
Countries across the globe are racing to harness AIās potential to boost their national security, socioeconomic and cultural interests through sovereign AI.
Mayfield Fund ās Navin Chaddha joined us for this week's VC Wednesdays. He shared what heās most excited about in AI, why startups that take on Nvidia are doomed to fail and why he believes ādigital twinsā will lead to more jobs.
š§ AI Assessment: Directly addresses European AI sovereignty, data risks from LLMs, and enterprise autonomy, with clear relevance to EU digital sovereignty concerns.
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š§ AI Assessment: Discusses AI sovereignty and EU-like regulatory guardrails but lacks direct focus on European infrastructure or open-source EU LLMs.
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š§ AI Assessment: Discusses AI sovereignty and shared infrastructure with a focus on trust, access, and global collaboration, though not exclusively European.
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š§ AI Assessment: Directly addresses European AI sovereignty, data sovereignty, and competitiveness with policy recommendations.
We argue that indeed data sovereignty is a crucial enabler for AI in Europe and the proposed measures are a leap in the right direction. However, it is only the first step towards AI sovereignty, and AI sovereignty should not be pursued at the cost of AI competitiveness as both are critical to each other.
As Thierry Breton, European Commissioner for Internal Market and Services states, āthe industrial data war has started now, and Europe will be its main battlefieldā. This strategy presents a push towards European data sovereignty. So what does it mean for AI in Europe?
We argue that indeed data sovereignty is a crucial enabler for AI in Europe and the proposed measures are a leap in the right direction. However, it is only the first step towards AI sovereignty, and AI sovereignty should not be pursued at the cost of AI competitiveness as both are critical to each other.
To avoid a potentially harmful trade-off between AI sovereignty and competitiveness we suggest five key recommendations to European policy makers and business leaders that are relevant for many of the worldās large economies (e.g.
The proposed European data strategy drives data sovereignty as it aims to create large datasets based on European rules, invest in European data capabilities and infrastructures, and empower individuals, and SMEs.
š§ AI Assessment: Directly addresses European AI sovereignty, data privacy, and economic independence with deep relevance to EU tech policy and infrastructure.
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š§ AI Assessment: Discusses global AI competition with focus on US/China strategies, touching on policy and geopolitical implications relevant to EU AI sovereignty debates.
A new technology typically triggers a race among the industry players, however, <strong>Artificial Intelligence has the unique honor of triggering a race among the countries of the world</strong>.
A new technology typically triggers a race among the industry players, however, Artificial Intelligence has the unique honor of triggering a race among the countries of the world. Few say it was triggered by Google Alpha GO defeating the best GO player. The game of GO is considered the ultimate test of human intelligence and a national pride. China responded by releasing its plan for AI dominance and triggering a domino effect among the countries.
United States: Currently the US and China are the leaders in AI research. The US has a slight advantage due to its well-established technology giants and research bodies. In Dec 2016, the Obama administration released 3 separate reports on AI. Since then no strategic report has been published.
AI advancement in the US is largely driven by the private sector without any reinforcement from the government. In May 2018, the White House invited industry, academia, and government representatives to a summit on AI.
China: In July 2017 China released its New Generation AI Development Plan, a three-step roadmap to becoming a world leader in AI. China through its AI strategy roadmap would like to be the āWorld Leaderā by 2025 and āPrimary AI innovation centerā by 2030.
š§ AI Assessment: Discusses EU AI Act, European AI regulation, and contrasts EU's approach with US/Asia, touching on digital sovereignty and governance.
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š§ AI Assessment: Discusses global AI race and geopolitics with some relevance to AI regulation and enterprise adoption, though not EU-specific.
#Mylatest In my first with Sriparna Pathak, PhD, we analyze the global AI Race, the rise of a third pole, fears and recent developments around malicious usesā¦
#Mylatest In my first with Sriparna Pathak, PhD, we analyze the global AI Race, the rise of a third pole, fears and recent developments around malicious uses of this tech, and how AI will impact global geopolitics. Many thanks to Jagannath Panda and Institute for Security and Development Policy for carrying our brief.
Domino is expanding and strengthening its partner channel with the addition of TD SYNNEX an industry-leading, global IT distributor and solutions aggregator! A recent industry survey found that 37% of companies rank data science, ML and AI as the single most important factor for growth.
Would we have a world where we have digital clones of our bodies, live recording interactions of every movement and change in our body? At some level, we already have it, with smartwatches that provide us with basic data on respiration, sleep patterns, and heart rate. And AI is making far greater strides than we ever imagined.
A Chinese AI robot even passed the countryās medical exam and qualified to practice as a doctor! Digital twins arenāt new - they have been around for more than 40 years, but itās only recently that we are seeing how this technology can transform medical research.
š§ AI Assessment: Discusses AI trends and innovation broadly, touching on AI regulation and policy implications but lacks direct focus on European AI sovereignty or GDPR.
š§ AI Assessment: Discusses global AI leadership with a focus on policy and regulation, including EU nations, though not exclusively European.
This comprehensive piece introduces the groundbreaking Top Ranked AI Nations (TRAIN) Index, a tool assessing global AI leadership. <strong>The 2023 TRAIN Index reveals a global race for AI leadership, with the US and China at the forefront</strong>.
In this week's newsletter, let's delve into the insightful article "Charting the Emerging Geography of AI" by Bhaskar Chakravorti and colleagues. This comprehensive piece introduces the groundbreaking Top Ranked AI Nations (TRAIN) Index, a tool assessing global AI leadership. The 2023 TRAIN Index reveals a global race for AI leadership, with the US and China at the forefront.
The TRAIN Index serves as a vital compass, not just for governments and corporations navigating this uncharted territory, but for all of us. Understanding the forces shaping the geography of AI empowers us to engage in informed dialogue about its applications, its risks, and its potential to reshape our world. So, buckle up, folks, the AI race is on, and the future is unwritten.
Other countries like India, Indonesia, and EU nations are poised to make significant strides, but data accessibility and policy shifts will play a crucial role. Balancing AI innovation with responsible use through regulations is key to shaping a future where AI benefits all societies.
This isn't just about technological bragging rights; it's about shaping the very fabric of our future. From the applications we prioritize to the risks we mitigate, the geography of AI will dictate t
š§ AI Assessment: Discusses AI competition and regulation but lacks direct focus on European AI sovereignty, GDPR, or open-source EU LLMs.
The world is currently in the midst of a new technological race, one that some have compared to the Space Race of the 1960s. This time, the race is not to the moon, but to achieve dominance in the field of artificial intelligence (AI).
The world is currently in the midst of a new technological race, one that some have compared to the Space Race of the 1960s. This time, the race is not to the moon, but to achieve dominance in the field of artificial intelligence (AI). With the year 2023, the competition among nations, companies, and individuals to lead the AI race has become more intense than ever.
The competition to achieve dominance in the field of artificial intelligence is intense, with nations, companies, and individuals all vying for the top spot. At the national level, the AI race is seen as a matter of national security and economic growth, with countries like the United States, China, and Russia investing billions of dollars in AI research and development.
The moon race was marked by fierce competition between the United States and the Soviet Union, but it also saw significant cooperation between the two superpowers, including joint missions and the exchange of scientific data. Similarly, in the AI race, international cooperation is essential to address common challenges and ensure responsible development and use of AI.
In this article, we will explore the AI race 2023 and why it is like the moon race of our time.
š§ AI Assessment: Discusses EU AI Act, GDPR-like compliance burdens, and EU vs. US regulatory approaches to AI, touching on European digital sovereignty but not directly on open-source EU LLMs or cloud independence.
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š§ AI Assessment: Discusses AI regulation and trust dynamics but lacks direct focus on European AI sovereignty or GDPR.
Letās face the question again, who is going to win the AI race? The answer is - No one knows. The AI race is still in its early stages, but it is clear that the winner will be the company that can master the three dynamics of computation, distribution, and trust.
As it turned out, while predictions were being made for the companies that are going to win the internet economy, some individuals who built the real winners of the internet economy were still in university, high school (in one specific case, most likely in middle school). Something very similar is going to happen with the AI race: the rules are still being written, and changes are happening much faster than any technical revolution of the past.
Once the dust settles, people's understanding of AI matures, governments are done with their policy framework, PRs are done with creating jazzy marketing buzz, and thought leaders are done recycling their thought articles on "how AR/crypto/metaverse/chatGPT can cure world hunger", the AI race will become a combination of dynamics: computation, distribution, and trust.
The product built on trust and safety as a central core will be the winner. Trust and safety will not be a feature of an AI product, Trust & safety will be the product, AI is just a delivery mechanism. The winner in the AI race has to be trusted by its user to do the right thing, not for a few users but for billions of users.
Letās face the question again, who is going to win the AI race? The answer is - No
š§ AI Assessment: Discusses AI competition between US and China with implications for global AI standards, infrastructure, and values, though not EU-specific.
š§ AI Assessment: Discusses global AI competition with a focus on ethical governance and mentions Europe among leading regions, touching on broader AI regulation and policy.
The AI race, also known as <strong>the global competition to lead in the development and deployment of artificial intelligence (AI) technologies</strong>, has been an increasingly prominent topic in recent years.
Furthermore, there are concerns that the intense competition in the AI race could lead to a āwinner takes allā dynamic, where a small number of countries or companies are able to dominate the global AI landscape, leading to a concentration of power and resources that could have negative consequences for other actors.
Given the potential benefits and risks of the AI race, it is clear that some degree of global cooperation and coordination is necessary in order to ensure that the development and deployment of AI technologies are guided by ethical considerations and a focus on the common good.
Ultimately, the AI race is a complex and multifaceted issue that will require ongoing attention and effort from a wide range of stakeholders, including governments, industry leaders, academics, and civil society organizations.
There are a number of countries that are currently considered to be leading the charge in the AI race, including the United States, China, and several countries in Europe.