You are formally invited to participate in a Talk focusing on AI and Equitable Allocation in Critical Decision-Making.
Abstract
Important decisions are increasingly being made with the aid of AI systems. These decisions can determine the allocation of benefits, like jobs, loans, and educational opportunities. They can also determine the allocation of losses, like vehicle navigation systems, risk-assessment for policing and parole, and medical triage. Companies designing these systems therefore have an ethical obligation to ensure that the recommendations and decisions of these systems are fair. But what does it mean for automated decisions to be fair? This talk will discuss some of the difficult decisions that must be made when designing fair AI systems, including: Which features should be used by the system in its decisions? What efforts should be made to correct the effects of historical injustice in the data? How should we balance the trade-offs in designing fair AI systems?
For more information, kindly contact Dr Danelle Fourie.