An EY report identifies a number of divergences and challenges in the global AI regulatory environment. Major developments are transforming the global regulatory environment for this technology.
An Ernst & Young (EY) report on the global regulatory landscape for artificial intelligence is sparking renewed interest after President Biden signed a sweeping executive order to monitor and regulate artificial intelligence (AI) risks while harnessing its potential.
Titled “The Global Regulatory Landscape of Artificial Intelligence (AI): Policy Trends and Considerations for Building Confidence in AI,” this report aimed to clarify the global regulatory environment for AI, providing policymakers and businesses with a road map for understanding and navigating this complex landscape. . .
Minimize damage
The report is based on an analysis of eight major jurisdictions that have demonstrated significant legislative and regulatory activity on AI: Canada, China, the European Union, Japan, Korea, Singapore, the United Kingdom and the United States.
It reveals that despite their different cultural and regulatory contexts, these jurisdictions share many of the goals and approaches to AI governance.
They all aim to minimize the potential harms of AI while maximizing the benefits to society, and they are all consistent with the OECD AI Principles approved by the G20 in 2019, which emphasize human rights, transparency, risk management and other ethical considerations.
However, the report also identifies some divergences and challenges in the global AI regulatory environment. For example, it says the European Union has taken one of the most active positions in the world, proposing a comprehensive AI law that would impose mandatory requirements for high-risk uses of AI, such as biometric identification or critical infrastructure.
AI and the 4 principles
China has also shown willingness to regulate key aspects of AI, such as content recommendation or facial recognition. In contrast, the report says the US has taken a light approach, focusing on voluntary industry guidance and sector-specific rules.
Since the publication of the EY report, other important developments are transforming the global AI regulatory landscape. For example, the UK government has released an AI white paper that outlines the country’s proposed framework for regulating AI.
The UK framework is based on four principles: proportionality, accountability, transparency and ethics, and is consistent with the EU approach.
These developments show that the global AI regulatory landscape is dynamic and rapidly evolving, and that policymakers and businesses must stay abreast of the latest trends and best practices.