The ethical and policy challenges of AI regulation include the need for balanced oversight that fosters innovation while mitigating harm. Regulations should be adaptable to the rapid evolution of AI, avoiding overly rigid rules that stifle progress while ensuring accountability and transparency. Key concerns include bias in AI decision-making, data privacy, and the societal impact of automation. Policies should encourage interdisciplinary collaboration and integrate insights from ethics, law, and social sciences to create frameworks that are both practical and forward-looking. Regulations should avoid reactive, one-size-fits-all approaches and instead call for nuanced, evidence-based regulations that consider the diverse applications and risks of AI technologies.
CARE Race to Regulate the Internet program was held on May 8
(click image below to view on YouTube)
Should States or the Federal Government Set the Rules for Websites Content, Child Protection and Personal Data Control?
See headlines and details at the CARE Race to Regulate the Internet update.
Statement in Support of Mandatory Comprehensive Digital Accessibility Regulations
US Technology Policy Committee (May 31, 2024)