AI, Society and the Digital Divide

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Who is centred in the digital world and who is pushed to the side when the benefits and harms of AI are not equally distributed?

International AI Cooperation and Governance Forum

CAIDE is proud to host the International AI Cooperation and Governance Forum 2025, a three-day conference organised in collaboration with Tsinghua University, Hong Kong University of Science and Technology (HKUST) and the National University of Singapore (NUS), on 26th-28th November in The Studio at Melbourne Connect.

Its theme, “Inclusive AI: Who Builds – Who Benefits,” aims to bring together academic researchers, industry leaders, and regulatory authorities from across the globe to explore the essential role of international collaboration in AI governance, complementing both national and self-regulatory efforts.

Highlights will include:

  • A Public Lecture from Prof Simon Chesterman (NUS) on Silicon Sovereigns: AI, International Law and the Tech-Industrial Complex
  • A Talk by Prof Steven Bird (Charles Darwin University) on Sustaining Australia's Indigenous Languages in the AI Era
  • A Conference Plenary and Opening Keynote featuring Tshilidzi Marwala (Rector of the United Nations University), Prof Stuart Russell (UC Berkeley), Xue Lan (Director of the Institute for AI International Governance at Tsinghua University) and more
  • Group panels covering everything from technical concerns and the application of AI in educational contexts to concerns of safety, AI literacy and human development, and issues of industry and cultural alignment.

For a full list of the sessions and events of the conference, visit the link below

See and Register for All Conference Events

Ethics and Governance of AI and LLMs with Prof Christoph Lütge

CAIDE was delighted to host Prof Christoph Lütge, Director of the Technical University of Munich (TUM) Institute for Ethics in Artificial Intelligence (IEAI) for a seminar on 6 October 2025 exploring the current landscape of AI and LLM ethics, focusing on key issues such as bias and fairness, transparency, accountability, privacy, and the societal impact of autonomous systems. Additionally, using case studies from the TUM Institute for Ethics in AI, the talk highlighted opportunities for responsible AI development, including frameworks for ethical design, governance models, and regulatory approaches that balance innovation with ethics.

Watch the Video

Theme Leaders

This theme is led by Dr Marc Cheong (CAIDE Deputy Director) and Prof Shanton Chang of the Faculty of Engineering and Information Technology.