AI is increasingly making decisions once left to humans — hiring, promotions, credit approvals, even court sentencing. But algorithms aren’t neutral: they reflect trade-offs between accuracy, fairness, and other competing goals.
Economist Alireza Fallah discusses his research on the economics of algorithmic decision-making, revealing:
- How AI shifts incentives for organizations and individuals
- Why “fair” isn’t always straightforward — and sometimes comes at a cost
- How better policy and transparency can prevent new forms of discrimination
Learn more about his recent work:
How Good Are Privacy Guarantees? Platform Architecture and Violation of User Privacy
Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms
