HCIL BBL Speaker Series: Human AI Collaboration: Social Perceptions, Measuring Outcomes and Overreliance
Speaker: Zahra Ashktorab, Research Scientist, IBM
Abstract: Contemporary AI, driven by Big Data and statistical machine learning, raise important questions for researchers as the promise of machines as collaborative partners in a number of everyday and domain settings becomes more and more a reality. A number of papers in recent years have addressed questions of human-AI collaboration, for example in medical decision-making, data science work or IT infrastructure design practices. This talk will consist of the study of human-AI collaboration in two contexts: a human-AI collaborative word guessing game and an AI-assisted UX paradigm that aids data labelers by allowing a single labeling action to apply to multiple records.
Bio: Zahra Ashktorab is Research Scientist in the AI Experience team at IBM Research. In her research group, Dr. Ashktorab studies factors that lead to successful collaborations between humans and AI agents in various domains and settings. Her current interests lie at the intersection of machine learning, human-computer interaction, and design. Dr. Ashktorab has published innovations in several different research communities including CHI (Conference on Human Factors in Computing Systems), CSCW (Conference on Computer Supported Cooperative Work) and IUI (Conference on Intelligent User Interfaces). Dr. Ashktorab received a BS in Computer Science from University of Maryland, College Park and her MS and PhD in Human Computer Interaction from University of Maryland, College Park. Prior to joining IBM Research in 2017, she interned for Microsoft Research, Data Science for Social Good, and National Institutes of Health.