Kaldor Centre for International Refugee Law, University of New South Wales Sydney
Responses
In your opinion, what outcomes would make the first Global Dialogue on AI Governance a success?
Moving beyond identifying and mitigating the very real risks posed by AI, towards a framework that not only mitigates those risks, but also creates the conditions that can untap the immense positive potential for AI, including in improving access to justice and protecting and promoting human rights.
From your perspective, which of the following thematic areas identified by the General Assembly Resolution 79/325 for the AI Dialogue reflect your priorities for urgent action and active engagement?
- Safe, secure and trustworthy AI
- Protection and promotion of human rights
- Transparency, accountability, and human oversight
- Open-source software, open data and open AI models
Please briefly explain your selection.
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On current trajectories, AI is set to further deepen inequalities based on who has access and who does not, and market driven forces dictating the development of use cases, that promote commercial profit, rather than social good. The focus needs to be on ways that we can democratise access to these tools, and reshape the focus and applications - safe, secure and trustworthy AI, as well as transparency, accountability and human oversight are necessary pre-conditions to all of this, but both regulatory uncertainty, lack of clear guidance on what is required, and the costs of developing such systems put them out of reach for most (hence the need for secure open-source software and AI models, as well as hosting options).
In your opinion, are there any cross-cutting or emerging issues not captured by the listed themes above? If so, please explain.
Questions relating to design, and in particular, embedding lived experience and suitable diverse perspectives (and representative data) into AI design
How are the governance gaps and related developments/advances in the thematic areas you selected above affecting your country, region, or sector? Please highlight the most significant challenges.
Regulatory uncertainty is impacting innovation, and further concentrating AI development in the hands of large corporations, which have higher risk appetite and the financial means to support litigation, while sidelining smaller organisations and not-for-profit entities that are more likely to develop AI for good applications.
What role can the AI Dialogue play in advancing international cooperation on AI governance?
Flipping the script from a defensive approach of identifying red lines and prohibited or high-risk uses, to creating an environment that promotes and supports an echo system to develop tools that are in the public (rather corporate) interests
Which voices, communities, or perspectives are currently underrepresented in global discussions on AI governance? How could they be included?
Refugees and migrants; linguistic diverse communities
What innovative engagement formats could most effectively foster meaningful and dynamic engagement during the AI Dialogue?
Stakeholder roundtables with separate cohorts of affected communities
Please share examples of policies, practices, platforms, or approaches that promote effective AI governance or offer concrete solutions to addressing its challenges.
In the migration space, the Migration Tech Monitor has carried out innovative work foregrounding the expertise of people with lived experience. In Australia, the Hear Me Out complaints platform (hearmeout.org.au), provides an illustrative example of positive use cases of AI that promote and enhance human rights and access to justice. It is a free AI tool that assists users in preparing and submitting complaints, including in relation to discrimination.