Description

A Joint Dialogue, co-hosted by the Indian Society of Artificial Intelligence and Law (ISAIL) and the Data Science & AI Association of Australia (DSAI), marked a continuation of transnational policy collaboration on AI governance. It assembled key voices from India, Australia, and the European Union to examine evolving legal, economic, and ethical frameworks for artificial intelligence—especially focusing on generative AI and large language models (LLMs).

This session was rooted in the momentum of the 2023 Bletchley Declaration and reframed the Indo-Pacific not merely as a maritime region but as a rising axis for digital policy coordination, infrastructure development, and AI regulation. Specialists from law, policy, and technology discussed the disconnect between AI hype and real-world performance, the implications for courts and contracts, and how Indo-Pacific nations can develop pragmatic, forward-looking governance approaches to shape global AI standards rooted in inclusivity, ethics, and interoperability.

Incumbent Members of the Committee Session

• Raymond Sun (Director, Data Science & AI Association of Australia (DSAI))
• Deepanshu Singh (Public Policy Adviser, Gati XG20)
• Bogdan Grigorescu (Vice President, Industry Policy, Indian Society of Artificial Intelligence and Law)
• Francis P. Crawley (Chairman, IDPC)
• Bahadur Shah (Regional Representative, ISAIL Southern Regional Division, Kerala)
• Abhivardhan (President, Indian Society of Artificial Intelligence and Law)
• Tamonash Pan & Priyanshi Jain (Session Rapporteurs)

Discussion Points for the Committee Session

The discussion focused on the following points broadly:

• Risks and precautions when implementing LLMs, such as hallucination detection based on Apple’s findings that LLMs lack reasoning reliability
• Cross-border digital trade and data contract enforcement
• Disparities in jurisdictional regulations and computer infrastructure
• The misuse of phrases like “AGI” in business agreements and mergers (like OpenAI and Microsoft) was criticized
• The importance of empathy, morality, and human-centered design in the creation of AI systems

Asymmetries in national AI regulatory frameworks