AI Regulation

Extracted Attributes

• Purpose

  Foster AI innovation, manage associated risks, ensure trustworthy AI

• Challenges

  Pacing problem (technology outpacing law), diversity of AI applications, fragmented and inconsistent regulatory environment

• Definition

  Development of public sector policies and laws for promoting and regulating artificial intelligence

• Mechanisms

  Review boards, AI ethics guidelines

• Key Debates

  Techno-optimism vs. Techno-pessimism, AI centralization vs. Open-source AI, Job displacement vs. Job creation, Strategic tariffs, AI copyright

• Broader Field

  Regulation of algorithms

• Approach (Brazil)

  Proposed regulations with obligations for providers/operators, risk categories, protection of fundamental rights

• Approach (Colorado)

  First US state to enact comprehensive AI legislation, focused on algorithmic discrimination and high-risk systems

• Approach (United States)

  Decentralized model, sectoral focus, perceived techno-optimism

• Approach (European Union)

  Heavy regulation, perceived techno-pessimism

• Approach (United Kingdom)

  Declined to legislate at early stage

• International Contributors (non-enforcing)

  IEEE, OECD

Timeline

• Numerous AI ethics guidelines began to emerge globally. (Source: Wikipedia)

  2016-01-01

• The CHIPS and Science Act in the US listed AI among its key technology areas. (Source: web_search_results)

  2022-01-01

• Colorado became the first US state to enact comprehensive AI legislation (Colorado AI Act), focusing on algorithmic discrimination and 'high-risk' systems. (Source: web_search_results)

  2024-05-01

• President Trump's Executive Order for Removing Barriers to American Leadership in AI is signaled to be issued, which would rescind President Biden's Executive Order for the Safe, Secure, and Trustworthy Development and Use of AI. (Source: web_search_results)

  2025-01-01

Regulation of artificial intelligence

Regulation of artificial intelligence is the development of public sector policies and laws for promoting and regulating artificial intelligence (AI). It is part of the broader regulation of algorithms. The regulatory and policy landscape for AI is an emerging issue in jurisdictions worldwide, including for international organizations without direct enforcement power like the IEEE or the OECD. Since 2016, numerous AI ethics guidelines have been published in order to maintain social control over the technology. Regulation is deemed necessary to both foster AI innovation and manage associated risks. Furthermore, organizations deploying AI have a central role to play in creating and implementing trustworthy AI, adhering to established principles, and taking accountability for mitigating risks. Regulating AI through mechanisms such as review boards can also be seen as social means to approach the AI control problem.

Web Search Results

• Regulation of artificial intelligence - Wikipedia

  The regulation of artificial intelligence is the development of public sector policies and laws for promoting and regulating AI.( Public administration and policy considerations generally focus on the technical and economic implications and on trustworthy and human-centered AI systems,( regulation of artificial superintelligence,( the risks and biases of machine-learning algorithms, the explainability of model outputs,( and the tension between open source AI and unchecked AI use.( [...] Regulation of AI can be seen as positive social means to manage the AI control problem (the need to ensure long-term beneficial AI), with other social responses such as doing nothing or banning being seen as impractical, and approaches such as enhancing human capabilities through transhumanism techniques like brain-computer interfaces being seen as potentially complementary.( Regulation of research into artificial general intelligence (AGI) focuses on the role of review boards, from university [...] There have been both hard law and soft law proposals to regulate AI.( Some legal scholars have noted that hard law approaches to AI regulation have substantial challenges.( Among the challenges, AI technology is rapidly evolving leading to a "pacing problem" where traditional laws and regulations often cannot keep up with emerging applications and their associated risks and benefits.( Similarly, the diversity of AI applications challenges existing regulatory agencies, which often have limited

• AI Regulations Around the World - Spiceworks

  AI regulations significantly determine how the technology will influence society’s future. They should establish clear requirements and support AI in various sectors, always considering ethical and consumer protection principles. As AI becomes sophisticated due to machine learning developments, the regulations should become more flexible, updated, and coordinated between all regulatory bodies. Stakeholders should cooperate at all levels, national and global, to ensure responsible AI [...] April 30, 2024 Image 2: Artificial Intelligence Regulations Understanding the legal frameworks governing artificial intelligence (AI) is crucial for ethical application and social benefit as technology developments shape our future. This article explores the global landscape of AI regulations, highlighting key approaches various countries are taking and the most important factors to consider when creating AI regulation. [...] The decentralized model of artificial intelligence regulation in the United States reflects its general approach to governance. Generally, most regulatory practices and policies are focused on the sectoral levels, and the same system closely reflects the AI area. In sum, there is no special federal regulation framework that is comprehensive for artificial intelligence aspects specifically. However, the US has established several sector-specific AI-related agencies and organizations that address

• AI Watch: Global regulatory tracker - United States | White & Case LLP

  Currently, there is no comprehensive federal legislation or regulations in the US that regulate the development of AI or specifically prohibit or restrict their use. President Trump has signaled a permissive approach to AI regulation, issuing an Executive Order for Removing Barriers to American Leadership in AI ("Removing Barriers EO") in January 2025, that rescinds President Biden's Executive Order for the Safe, Secure, and Trustworthy Development and Use of AI ("Biden EO").1 The Removing [...] 2. Emerging AI regulations come in different forms: The various emerging AI regulations have no consistent legal form – some are statutes, some are executive orders, some are expansions of existing regulatory frameworks, and so on. The EU AI Act is a "Regulation" (which means that most of it will apply directly in all EU Member States, without the need for national implementation in most cases). The UK has taken a different approach, declining to legislate at this early stage in the [...] Most jurisdictions have sought to strike a balance between encouraging AI innovation and investment, while at the same time attempting to create rules to protect against possible harms. However, jurisdictions around the world have taken substantially different approaches to achieving these goals, which has in turn increased the risk that businesses face from a fragmented and inconsistent AI regulatory environment. Nevertheless, certain trends are becoming clearer at this stage:

• Artificial Intelligence Regulatory Models: Advances in the European ...

  AI regulatory governance is a pressing issue, a product of technology outpacing the law. In an unprecedented joint venture between governments and private industry, the treaty signatories recognized the “urgent” need for quick action. The treaty outlines a specific risk-based regulatory approach to guide nations in designing regulatory frameworks for achieving AI safety and security. This approach to AI regulation is consistent with treaty harmonization( as a global blueprint for regulatory [...] AI regulatory governance is a pressing issue, a product of technology outpacing the law. The public and private sectors have coalesced and identified the need for swift regulatory action. The current absence of regulatory clarity poses significant risks as companies speed toward AI development and deployment in the marketplace. Companies cannot predict with certainty when, if, and how the technology will be regulated and whether cross-border laws will achieve uniformity. These pressing concerns

• AI regulations around the world - Diligent

  While California has been leading the way on state-level AI regulation — proposing several laws to increase business accountability, combat discrimination, and regulate how businesses use data — Colorado became the first US state to enact comprehensive AI legislation. In May 2024, the Colorado AI Act established rules for the developers and deployers of AI systems, with a focus on algorithmic discrimination and “high-risk” systems — AI tools and platforms active in essential areas like housing, [...] Brazil incorporates many of these in its proposed AI regulations, spelling out obligations for the providers and operators of AI systems, introducing different categories of risk and a goal of protecting fundamental rights “for the benefit of the human person and the democratic regime” and supporting scientific and technological development. [...] In a contrast to the EU’s centralized approach to AI regulation, and differing sharply from the national AI frameworks in Japan and Singapore, the United States is pursuing a decentralized regulatory framework. The CHIPS and Science Act of 2022 lists AI among its key technology areas. Securities and Exchange Chair Gary Gensler has put out a call for AI guardrails and a White House Executive Order has listed key principles for responsible AI development and deployment, with a focus on