Description
AFRAN/SoCy (2025) Artificial Intelligence for People: A French-Australian Perspective. Australian French Association for Research and Innovation, and the School of Cybernetics, Australian National University. EXECUTIVE SUMMARY With this report, we offer readers an overview of some of the work and reflection around AI, produced by the extended Australian-French research and innovation community, based in the South Pacific. To answer the Summit’s question, ‘What does a society look like when AI is working well and in people’s interest?’, we will quote Dimitri Perrin, AFRAN Queensland hub leader and a Chief Investigator in Health and Biological Systems at the Queensland University of Technology (QUT) Centre for Data Science: ‘AI for people, not on people’ and make his expression our motto. We summarise below the main recommendations to emerge from this report. For AI to work in the public interest, we recommend: • Greater interdisciplinarity to address challenges raised by AI applications. • Greater diversity in the people that develop AI solutions, and in the data being used to train AI models. • AI application to be driven by actual needs rather than ‘technosolutionism’. • In the Australian and Pacific context, greater involvement of Indigenous communities and design of AI systems that is respectful of the Indigenous cultures. • The centring of environmental concerns in the development of AI systems. To anticipate AI’s impact on the workforce, we recommend: • To conduct evidence informed research on AI adoption, to better understand AI’s uptake in the workplace. • To conduct a workers’ survey to better understand their use of the technology and the impact on their working conditions. • To raise workers’ AI literacy, technical and social understanding. For responsible innovation, we recommend: • The use of new tools and frameworks to incorporate more proactive approaches to responsible practices into the development of AI systems. For equitable AI innovation in the creative industries, we recommend: • Creating an accessible and decentralised data marketplace where cultural institutions, artists, and content creators can license their works for AI training. • Establishing AI innovation commons to ensure that the benefits and advances in AI development are distributed across borders.| Period | 6 Feb 2025 → … |
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| Event title | Policy relevant report contribution - Artificial Intelligence for People: A French-Australian Perspective |
| Event type | Other |