Who Wins and Who Loses When AI Makes Decisions
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
https://www.nber.org/papers/w31413
Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms
https://pubsonline.informs.org/doi/10.1287/opre.2022.0014
On Three-Layer Data Markets
https://arxiv.org/abs/2402.09697
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
https://www.nber.org/papers/w31413
Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms
https://pubsonline.informs.org/doi/10.1287/opre.2022.0014
On Three-Layer Data Markets
https://arxiv.org/abs/2402.09697
