3 papers
cs.HC2022
On Learning and Enforcing Latent Assessment Models using Binary Feedback from Human Auditors Regarding Black-Box Classifiers
Mukund Telukunta, Venkata Sriram Siddhardh Nadendla
Algorithmic fairness literature presents numerous mathematical notions and metrics, and also points to a tradeoff between them while satisficing some or all of them simultaneously.…
cs.LG2021
Non-Comparative Fairness for Human-Auditing and Its Relation to Traditional Fairness Notions
Mukund Telukunta, Venkata Sriram Siddhardh Nadendla
Bias evaluation in machine-learning based services (MLS) based on traditional algorithmic fairness notions that rely on comparative principles is practically difficult, making it n…
cs.CY2020
On the Identification of Fair Auditors to Evaluate Recommender Systems based on a Novel Non-Comparative Fairness Notion
Mukund Telukunta, Venkata Sriram Siddhardh Nadendla
Decision-support systems are information systems that offer support to people's decisions in various applications such as judiciary, real-estate and banking sectors. Lately, these…