Global Consensus on AI Governance Challenges

• Panellists at The Hindu AI Summit 2024 emphasized the need for global consensus in formulating regulations for AI use in governance.

• Emerging challenges include copyrights, data protection, and cyber vulnerability issues.

• AI has been used in diagnosing tuberculosis in six districts in Tamil Nadu, with over 56,000 people screened using this tool in the last two years.

• AI has potential to play a significant role in the health sector, including screening refractive eye errors among children and detecting pregnancy-induced hypertension.

• B. Ravindran, head of Data Science and Artificial Intelligence, Indian Institute of Technology-Madras, urged governments to build adequate digital infrastructure before AI can have an impact.

• He warned that pushing the current state of AI models into governance could institutionalize models and ignore the cultural map.

• India has taken the lead in getting a global consensus on AI in governance, but caution is needed to avoid becoming a digital slave.

• Hasit Trivedi, president of Chief Digital and AI Officer, Firstsource, emphasized the need for data protection, usage, and localization in AI.

• S. Thamaraiselvan, Assistant Vice-President, Infosec Governance, Hexaware, suggested that India should explore how to become a generator of AI technologies rather than consuming it.