As AI systems increasingly operate independently, the ethical implications of their decisions are becoming more critical. This session delves into the complexities surrounding autonomous AI systems, particularly in high-stakes domains like healthcare, law enforcement, and transportation. How do we ensure these systems make decisions aligned with human values and ethics?

Key topics include:

• Moral Decision-Making in AI: Exploring how AI systems can be programmed to make ethically sound decisions, and the challenges of encoding moral reasoning into algorithms.

• Accountability and Liability: Who is responsible when an autonomous AI system causes harm or makes a mistake? Examining legal frameworks and societal implications for accountability in AI-driven decision-making.

• Bias and Fairness in Autonomous Systems: Addressing how biases in AI models can affect the decisions made by autonomous systems, and the ethical need for fairness, transparency, and inclusivity in their design.

• Human Oversight in Autonomous AI: Discussing the role of human oversight and intervention in autonomous systems, and the balance between autonomy and accountability in decision-making processes.

• Long-Term Societal Impact: Considering the broader ethical impacts of autonomous AI on society, including the potential for job displacement, shifts in power dynamics, and societal inequalities.

This session aims to foster dialogue around the ethical concerns of autonomous AI, offering insights into how we can develop and deploy AI systems that align with societal values, protect individual rights, and build trust in these transformative technologies.