Engineering an Ethical AI System
Principal Researcher, Gradient Institute
Consequential decisions are increasingly being made by AI, like selecting who to recruit, who receives a home-loan or credit card, and how much someone pays for goods or services. AI systems have the potential to to make these decisions more accurately and at a far greater scale than humans, but, if improperly designed they run the risk of doing unintentional harm -- especially to already disadvantaged members of society. Only by building AI systems that accurately estimate the real impact of possible outcomes on a variety of ethically relevant measures can we ensure this powerful technology improves the lives of everyone. This talk focused on the anatomy of these ethically-aware decision-making systems, and some design principles to help the data scientists, engineers and decision-makers collaborating to build them.