Category: AI Regulation

Understanding ISO 42001: A Framework for Responsible AI

ISO 42001 is the world’s first international standard dedicated to the management of Artificial Intelligence, focusing on governance, accountability, and lifecycle risk management. This new standard aims to help organizations build trustworthy and ethical AI systems that meet legal requirements and societal expectations.

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EU Strategies for Defining AI Act Regulations on General-Purpose AI

EU policymakers are considering setting threshold measures of computational resources to help businesses determine the regulatory requirements for AI models they train or modify under the EU AI Act. The proposals aim to clarify the scope of rules applicable to general-purpose AI models, with feedback from stakeholders expected to shape new guidelines effective from August 2025.

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AI Regulation: Building Trust in an Evolving Landscape

As AI adoption accelerates globally, governments are rapidly developing ethical and legal frameworks to ensure compliance and mitigate risks associated with AI technologies. The EU’s AI Act and other regulatory measures in countries like the US, India, and China signify that AI governance is becoming essential for businesses to maintain a competitive edge.

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AI Guidance in UK Government: A Transparency Dilemma

The UK government, including Prime Minister Keir Starmer’s office, is using a proprietary AI chatbot called Redbox for various tasks, but the specifics of its usage remain undisclosed. Experts are concerned about the lack of transparency regarding how AI-generated advice is integrated into government decisions, raising questions about the accuracy and reliability of the information provided.

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Europe’s Bold AI Regulatory Move

Europe is moving forward with its AI Act, which will require high-risk medical devices with AI components to comply with both the new regulations and existing device rules. As implementation approaches, medical device manufacturers express concerns about the potential burdens these regulations may impose.

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Understanding AI Regulations and Governance Challenges

Bloomberg Law will host a virtual forum titled “Navigating AI Regulations & Governance” on May 1, 2025, aimed at equipping legal and compliance professionals with insights on AI regulation. The event will feature keynotes and discussions from experts, including Google’s Tom Lue and EU Commission’s Kilian Gross, addressing the current regulatory landscape and its implications for organizations.

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Responsible AI: Key Insights from the EU AI Act

The EU AI Act establishes prohibited practices for AI that pose significant risks to fundamental rights, including issues like indiscriminate biometric surveillance and social scoring. Salesforce emphasizes the importance of aligning AI development with ethical considerations and offers recommendations for companies to ensure responsible AI deployment.

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AI Regulatory Landscape: Insights from the Bloomberg Law Forum

Bloomberg Law will host a virtual forum titled “Navigating AI Regulations & Governance” on May 1, 2025, aimed at equipping legal and compliance professionals with insights into the evolving landscape of AI regulation. The event will feature keynotes and discussions with industry experts, focusing on the implications of federal and state policies, as well as the EU AI Act.

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AI Regulations and Governance: What You Need to Know

Bloomberg Law will host a virtual forum titled “Navigating AI Regulations & Governance” on May 1, 2025, aimed at equipping legal professionals with insights into the evolving landscape of artificial intelligence regulation. The event features keynote speakers from Google and the EU Commission, along with discussions on federal and state policies, compliance challenges, and the implications of AI regulations.

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EU’s Ambitious AI Continent Action Plan Unveiled

The European Commission unveiled its “AI Continent Action Plan,” outlining a strategy to enhance AI development and adoption across Europe, aiming to establish the continent as a global leader in the AI sector. The plan is structured around five pillars: computing infrastructure, data, skills, regulatory simplification, and adoption in key strategic sectors.

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