4 papers
An External Fairness Evaluation of LinkedIn Talent Search
Tina Behzad, Siddartha Devic, Vatsal Sharan +2
We conduct an independent, third-party audit for bias of LinkedIn's Talent Search ranking system, focusing on potential ranking bias across two attributes: gender and race. To do s…
Beyond Predictions: A Study of AI Strength and Weakness Transparency Communication on Human-AI Collaboration
Tina Behzad, Nikolos Gurney, Ning Wang +1
The promise of human-AI teaming lies in humans and AI working together to achieve performance levels neither could accomplish alone. Effective communication between AI and humans i…
FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI Fairness
Tina Behzad, Mithilesh Kumar Singh, Anthony J. Ripa +1
The issue of fairness in decision-making is a critical one, especially given the variety of stakeholder demands for differing and mutually incompatible versions of fairness. Adopti…
Reconciling Predictive Multiplicity in Practice
Tina Behzad, Sílvia Casacuberta, Emily Ruth Diana +1
Many machine learning applications predict individual probabilities, such as the likelihood that a person develops a particular illness. Since these probabilities are unknown, a ke…