| Popis: |
The inability of global governments to meaningfully progress sustainable development over the past three decades is deeply concerning. AI is increasingly framed as a solution for achieving such outcomes, sometimes uncritically. We argue that: 1) for AI to improve public decision-making, the conditions and factors influencing public decisions must be better understood and considered; 2) to mainstream AI-enabled insights, transformations of those conditions and factors are necessary; and, 3) critical governance questions about those transformations must be addressed. To develop our arguments we draw on: original research identifying factors shaping public decision-making; ongoing interdisciplinary research exploring conditions that influence the use of AI for sustainable development policy; and, conceptual framings from literature concerned with transitions, earth system governance, leverage points and policy entrepreneurship - all sharing ambition to understand transformative change. In so doing, we seek to advance critical knowledge on the, potentially, transformative implications of AI in public decision-making. |
