Introduction While great strides have been made in the last few months to create governance frameworks and regulate AI, the trend of exercising caution in attempting to regulate AI too stringently continues, citing, inter alia, slowing down the progress of AI innovation and development as a key concern. Given the breakneck speed at which AI use, and in particular generative AI's use, has proliferated, the improvement and development of AI tools, appropriate and responsible governance frameworks, and where relevant, the passing of appropriate AI regulation has in fact become critical and necessary to manage the responsible use of AI and to address the ethical, legal, and societal implications
Insight
International: Trends in AI governance
January 4, 2024
Summary
The article by Preeta Bhagattjee discusses the current state of AI governance, highlighting the balance between promoting AI innovation and addressing its ethical, legal, and societal implications. Approximately 31 countries have enacted AI legislation, with 13 more in the process. The EU's rights-driven approach emphasizes consumer protection with stringent regulations for high-risk AI systems, while the US and UK favor a market-driven approach that encourages innovation with lighter regulations. The US has also introduced an executive order to mitigate risks associated with AI, such as deep fake technology. Privacy concerns are addressed by existing data protection laws and AI-specific guidance, with regulators requiring AI developers to comply with both new AI obligations and existing data protection frameworks.