8. How do biases and inequalities in the data used to train AI systems impact the fairness and accuracy of these systems, and how can we address these issues?
9. What are the implications of AI for privacy and security, and how can we develop robust and transparent mechanisms for protecting individuals' rights?
10. How can we effectively regulate the development and deployment of AI systems, and what types of policies and standards are necessary to ensure responsible AI innovation?
11. How can AI be leveraged to address urgent global challenges such as climate change, pandemics, and social inequality, and what are the potential risks and trade-offs of doing so?
12. How can we foster interdisciplinary collaboration and knowledge-sharing between academia, industry, and policymakers to advance the responsible use of AI and ensure that it benefits society as a whole?