Recommendations to address AI-related risks and governance gaps

Syllabus: GS 2/Governance/GS3/Science and Tech 

In News 

• The U.N. AI advisory body released a final report with seven recommendations to address AI-related risks and governance gaps.

Key recommendations

• Scientific Panel: Create an impartial panel to provide reliable scientific knowledge about AI, bridging information gaps between AI labs and the global community.
• Policy Dialogue: Initiate a policy dialogue on AI governance to foster international cooperation.
• AI Standards Exchange: Establish a platform for sharing AI standards and best practices.
• Global AI Capacity Development Network: Strengthen governance capacities by building a global network.
• Global AI Fund: Address capacity gaps through a dedicated fund.
• AI Data Framework: Develop a transparent and accountable global framework for AI data.
• AI Office: Set up a small AI office to coordinate implementation efforts.

 Emerging Challenges 

• The rapid spread of AI, especially since OpenAI’s ChatGPT (2022), has raised concerns about misinformation, fake news, and copyright infringement.
• The U.N. expressed concern about AI development being dominated by a few multinationals, potentially leaving people without a voice in its use.
• Only a handful of countries have specific AI laws.
  • Few countries have enacted AI laws, with the European Union leading with its AI Act. The U.S. favors voluntary compliance, and China focuses on maintaining social stability.
  • The U.S. and about 60 countries endorsed a “blueprint for action” to regulate AI use in the military, but China did not support the document
• China balances social stability and state control.

India’ Approach 

• India is emerging as a key player in AI regulation and development, with its large consumer base and labor force being crucial for technology companies.
  • By 2030, India will host over 10,000 deep tech start-ups.
• India AI Mission Funding: The government has allocated ₹10,300 crore to the India AI mission to bolster AI innovation and strengthen the public-private partnership ecosystem.
• Technological Investments: The funds will be used to deploy 10,000 Graphic Processing Units (GPUs), Large Multi-Models (LMMs), and promote AI-based research collaboration and innovative projects.
• Balancing Economic Growth and SDGs: India’s AI strategy must align with the Sustainable Development Goals (SDGs), ensuring responsible AI use that supports innovation while managing associated risks.
• Phased Approach to AI Governance: India is likely to adopt a gradual, phase-led approach to AI governance, promoting a fair and inclusive AI system that supports economic growth without compromising ethical and social responsibilities

Conclusion and Way Forward 

• The rapid advancement of AI technologies has significant economic, societal, and ethical implications. 
• Effective governance is necessary to maximize AI’s benefits while mitigating its risks. 
• AI systems must be fair, unbiased, and accountable.

Source : TH