ACADEMIC KEYNOTE
Maria De-Arteaga

As machine learning models are increasingly deployed in high-stakes settings, the role of humans in the loop and the potential for human-AI collaboration have been a subject of debate. While many policy makers, domain experts, and various stakeholders advocate for the importance of humans’ discretionary power as a guardrail to prevent algorithmic harms, others have cast doubt on the effectiveness of such a sociotechnical design. In this talk, I will make a case for humans in the loop based on empirical findings, I will briefly discuss recent work on the design of algorithms and interventions to facilitate human-AI collaboration, and I will conclude by outlining open questions in research on trustworthy systems that are well-suited for collaboration between humans and algorithms.