About
CAIDE has organised both policy forums and other events featuring key input from those working at or near the intersections of emerging technology and the law. We have recently worked to run multiple roundtable policy forums, bringing together expert panels from law, policy, economics, technology and more to deal with specific and nuanced areas of modern AI policy, including:
- AI, IP and the Creative Industries
- AI and Legal Education
- AI and Markets
- AI, Synthetic Content and Truth
- AI, Synthetic Content and Fraud
- Women in AI Policy
From each forum's discussion and prepared materials, a corresponding policy paper was produced aiming to 'demystify' that area of AI policy. Additionally, a series of videos was produced, featuring experts, academics and practitioners breaking down the major issues of debate in each policy topic.
Videos
Issue Papers
Demystifying Generative AI, IP and the Creative Industries
Bringing together perspectives from law with technological and economic concerns, this forum considered the role of AI in the copyright and IP regime. It dealt with issues of training data and output copyright, regurgitation and adaptation of existing works, as well as concerns of Indigenous Cultural and Intellectual Property (ICIP).
Exploring Generative AI and Legal Education
This forum discussed the impact of generative AI on legal education, both academic and otherwise. In particular, it queried how junior lawyers will deal with a world where AI tools prove increasingly common, and what role law schools and legal firms have to play in developing the skills required to do so.
Demystifying Generative AI, Competition and Markets
This forum considered impacts of generative AI in issues of access, vertical integration, and cloud computing that affect market power, and how these differ from the data moat and network effects issues at stake for other digital platforms.
Demystifying Generative AI, Synthetic Content and the Pursuit of Truth
This forum considered the unique impacts of ‘deepfakes’ and other forms of synthetic audio, video and text content on democratic norms, in particular focusing on the harms and opportunities that emerge in an election campaign. It explored the roles of transparency, free speech, misinformation and institutional trust, and what might be done in both regulatory and social policy contexts to address these accordingly.
Demystifying Generative AI, Synthetic Content and Fraud
This forum, run in conjunction with Melbourne Business School and the Centre for Business Analytics, considered how synthetic content might be used to commit financial fraud or to develop scams. It examined a range of solutions in varying levels of public and private governance, focussing on how regulatory regimes and provenance technologies could help financial institutions, technology corporations and consumers protect themselves from financial fraud and ensure greater institutional trust.
Women in AI Development, Governance, Policy and Regulation
This forum aimed to consider how under-representation of women across the AI lifecycle can create inequity, part of a pattern of biased outcomes well recognised in AI. It sought to develop key action areas to support women in AI development, governance, policy and regulation.
Demystifying Generative AI
In June, Professor Jeannie Marie Paterson was joined by Lee Hickin (AI Technology & Policy Lead Asia, Microsoft) and Anna Jaffe (Director of Regulatory Affairs & Ethics, Atlassian) at Melbourne Law School, for a conversation about demystifying the generative AI stack.
This discussion formed the basis for the broader 'Demystifying' Issues Papers, giving a conceptual and technical basis for discussing Generative AI. A summary document explaining its main conclusions -on what Generative AI is, how it is made, what terminology surrounding it means how it fits into supply chains and other tech, and how it can be made safe.