My research spans the fields of philosophy and ethics of AI, cognitive science, social philosophy, and philosophy of science. My work in these areas is problem-oriented in focus and pluralist in methodology, drawing on tools of philosophy, methods of cognitive science, and formal simulation and machine learning techniques. Most of my work centers on questions of values in complex sociotechnical systems: how can organizations (e.g., social institutions, scientific communities) make good decisions? What do those decision processes look like, particularly in our diverse, inter-connected, and increasingly algorithmic societies? And how do we ensure that these processes are designed and evaluated in ways that effectively promote our varied epistemic and ethical values? To answer these general questions, we need to carefully examine a number of more specific issues. My current work focuses on three of those issues.
Values & AI-informed decision-making
- Ethical analysis of AI-informed decisions
- Diversity in AI design and development
- Human-AI complementarity & teaming
Values & decision-making in diverse societies
- Conceptualizing & quantifying sociocultural diversity
- Diversity’s influence on group dynamics & performance
- Fairness implications of communication structure & dynamics
Values & individual cognition
- The impacts of goals and values on human cognition (especially on attention, counterfactual judgments, and causal cognition)
For a full list of my publications, please see my Google scholar page.
Sina Fazelpour 