10.2 Existing and proposed AI regulations and guidelines
4 min read•august 15, 2024
AI regulations are evolving globally to address the unique challenges posed by artificial intelligence. From laws like to AI-specific guidelines, governments and organizations are working to balance innovation with safety and ethics.
Comparing approaches reveals diverse philosophies, from the EU's comprehensive regulations to the US's sector-specific focus. Challenges include keeping pace with rapid advancements, cross-border issues, and striking the right balance between oversight and innovation.
Existing AI Regulations
Data Protection and Privacy Regulations
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General Data Protection Regulation one year on: what has it done? View original
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Research summary: Comparing Privacy Law GDPR Vs CCPA | Montreal AI Ethics Institute View original
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General Data Protection Regulation: Document pool - EDRi View original
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Top images from around the web for Data Protection and Privacy Regulations
Research summary: Comparing Privacy Law GDPR Vs CCPA | Montreal AI Ethics Institute View original
Is this image relevant?
General Data Protection Regulation: Document pool - EDRi View original
Is this image relevant?
General Data Protection Regulation one year on: what has it done? View original
Is this image relevant?
Research summary: Comparing Privacy Law GDPR Vs CCPA | Montreal AI Ethics Institute View original
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General Data Protection Regulation: Document pool - EDRi View original
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1 of 3
European Union's General Data Protection Regulation (GDPR) sets standards for data privacy and protection
Impacts AI systems processing personal data
Requires consent for data collection and processing
Grants individuals rights to access and control their data (right to be forgotten)
China's Personal Information Protection Law () regulates data privacy
Similar to GDPR but with stricter requirements
Mandates explicit consent for personal information processing
Imposes hefty fines for non-compliance (up to 5% of annual revenue)
AI-Specific Regulations and Guidelines
EU's proposed Artificial Intelligence Act categorizes AI systems based on risk levels
Imposes corresponding regulatory requirements for each risk category
Prohibits certain AI practices (social scoring, exploitation of vulnerabilities)
Requires for high-risk AI systems
United States lacks comprehensive federal AI regulation
Relies on sector-specific laws ( in finance)
Federal Trade Commission (FTC) provides guidelines on AI use in commerce
International AI Principles and Guidelines
provide recommendations for trustworthy AI
Emphasize human-centered values and
Promote and in AI systems
UNESCO's Recommendation on the Ethics of AI offers ethical framework
Addresses issues like gender equality and environmental sustainability
Provides policy actions to ensure ethical AI development
IEEE's Ethically Aligned Design framework guides ethical AI development
Covers topics like data agency and algorithmic bias
Provides concrete recommendations for implementing ethical AI principles
AI Regulation Approaches: A Comparison
Regional Regulatory Philosophies
EU adopts comprehensive, risk-based regulation approach
Emphasizes and proactive governance
Implements binding legislation (GDPR, proposed )
US favors sector-specific and market-driven approach
Relies on existing laws and voluntary industry guidelines
Focuses on maintaining innovation and competitiveness
China emphasizes and in AI regulation
Implements strict data localization requirements
Encourages AI development aligned with state objectives
Regulatory Mechanisms and Tools
for AI testing implemented differently across jurisdictions
UK's Financial Conduct Authority allows fintech AI experimentation
Singapore's AI Verify toolkit provides voluntary testing environment
Data localization requirements vary significantly between countries
Russia mandates storage of citizens' data within its borders
India proposes data classification system with varying localization rules
Accountability mechanisms for AI systems differ
EU requires human oversight for high-risk AI systems
US focuses on in specific sectors (hiring)
Scope and Definitions in AI Regulations
AI definitions in regulations vary across jurisdictions
EU's broad definition includes software developed with specific techniques
US NIST AI Risk Management Framework uses functional definition based on AI capabilities
Scope of regulated AI applications differs
Canada focuses on automated decision systems in government
Japan's AI governance guidelines apply to private sector AI development