Queensland University of Technology
Responses
In your opinion, what outcomes would make the first Global Dialogue on AI Governance a success?
1. Consolidating the existing fragmented guidance including EU AI Act, the OECD AI principles, the UNESCO Ethics of AI recommendations, numerous national frameworks e.g. Australia's DISR Guidance for AI Adoption 2. Rapidly moving to publish actionable and scalable governance guidelines (preferably consolidated) with real world examples articulating the reality of accountability and the resourcing demands to follow through with operationalising AI governance.
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?
- AI capacity-building
- Transparency, accountability, and human oversight
- Open-source software, open data and open AI models
- Social, economic, ethical, cultural, linguistic and technical implications of AI
Please briefly explain your selection.
1
Education is the key to all of these themes, so AI capacity-building is the first and most urgent that requires attention from all. Within my entity, we are actively working on this by iteratively holding several levels of stakeholder education sessions focusing firstly on the technical capability of AI (what it can and can't do) and what it means to be accountable. While our participants are keenly interested in the technical capability of AI, they are often most in need of learning what it means to step up and take accountability of their decisions to implement AI in different scenarios.
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.
Australia is grappling with operationalising the various governance guidelines, where best intentions are not supported by true understanding of technical AI capability and not supported by real resource allocation. Further education and real world examples are needed here to uncover the reality of what AI is actually capable of and the reality of the resourcing required to effectively govern AI use. Previously, a lot of time has been taken in simply defining the principles for approaching AI implementation within Australia. A consolidated structured global guidance is needed to cut through the plethora of well-intended guidance glut, and allow us (and others) to move forward with actionable targets. With a consolidated global governance guidance, other countries/regions will benefit from skipping this time-waste.