While many celebrated efforts in Artificial Intelligence aim at exceeding human performance, the real promise of AI in real-world domains, such as healthcare and law, hinges on developing systems that can successfully support human experts. In this talk, I'll share several directions of research we are pursuing towards effective human-AI partnership in the open world, including combining the complementary strengths of human and machine reasoning, addressing concerns around trust, transparency and reliability, and using AI to improve human engagement.

Ece Kamar is a senior researcher at the Adaptive Systems and Interaction Group at Microsoft Research. She earned her PhD in computer science from Harvard University where she was advised by Prof. Barbara Grosz. Her research spans several subfields of AI, including planning, machine learning, multi-agent systems and human-computer teamwork, and is inspired by real-world applications that can benefit from the complementary abilities of people and AI. She is particularly interested in the impact of AI on society and developing AI systems that are reliable, unbiased, and trustworthy.

This talk is copresented by the Digital Arts, Sciences, & Humanities (DASH) program as part of the Human in the Data series.