Artificial intelligence is rapidly transforming the way governments collect evidence, analyze data, and craft public policy. From predictive modelling to automated research synthesis, AI offers enormous potential for more efficient and informed decision-making. Yet with this promise comes pressing questions: how do we ensure transparency when AI systems contribute to policy choices? What safeguards prevent bias or misuse? And how can we rebuild public trust in an era of increasing misinformation and algorithmic opacity? This session explores:
- How AI is currently being used in public policy development and implementation
- The implications for transparency, bias, and fairness in evidence-based decision-making
- Strategies to strengthen accountability and public trust as AI tools evolve