Behavioral Biometrics and Machine Learning to Secure Website Logins. - Falaah Arif Khan; Sajin Kunhambu; K. Chakravarthy G (SSCC, 2018)

The State of AI Ethics Report (October 2020). - Abhishek Gupta; Alexandrine Royer; Victoria Heath; Connor Wright; Camylle Lanteigne; Allison Cohen; Marianna Bergamaschi Ganapini; Muriam Fancy; Erick Galinkin; Ryan Khurana; Mo Akif; Renjie Butalid; et al. (CoRR, 2020)

The State of AI Ethics Report (January 2021). - Abhishek Gupta; Alexandrine Royer; Connor Wright; Falaah Arif Khan; Victoria Heath; Erick Galinkin; Ryan Khurana; Marianna Bergamaschi Ganapini; Muriam Fancy; Masa Sweidan; Mo Akif; Renjie Butalid (CoRR, 2021)

Fairness as Equality of Opportunity: Normative Guidance from Political Philosophy. - Falaah Arif Khan; Eleni Manis; Julia Stoyanovich (CoRR, 2021)

It's funny because it's true: confronting scientific catechisms through comic books! - Falaah Arif Khan (DEBS, 2022)

Towards Substantive Conceptions of Algorithmic Fairness: Normative Guidance from Equal Opportunity Doctrines. - Falaah Arif Khan; Eleni Manis; Julia Stoyanovich (EAAMO, 2022)

An external stability audit framework to test the validity of personality prediction in AI hiring. - Alene K. Rhea; Kelsey Markey; Lauren D'Arinzo; Hilke Schellmann; Mona Sloane; Paul Squires; Falaah Arif Khan; Julia Stoyanovich (Data Min. Knowl. Discov., 2022)

Subset Modelling: A Domain Partitioning Strategy for Data-efficient Machine-Learning. - Vítor Ribeiro; Eduardo H. M. Pena; Raphael de Freitas Saldanha; Reza Akbarinia; Patrick Valduriez; Falaah Arif Khan; Julia Stoyanovich; Fábio Porto 001 (SBBD, 2023)

On Fairness and Stability: Is Estimator Variance a Friend or a Foe? - Falaah Arif Khan; Denys Herasymuk; Julia Stoyanovich (CoRR, 2023)

The Unbearable Weight of Massive Privilege: Revisiting Bias-Variance Trade-Offs in the Context of Fair Prediction. - Falaah Arif Khan; Julia Stoyanovich (CoRR, 2023)

Responsible Model Selection with Virny and VirnyView. - Denys Herasymuk; Falaah Arif Khan; Julia Stoyanovich (SIGMOD Conference Companion, 2024)

Still More Shades of Null: A Benchmark for Responsible Missing Value Imputation. - Falaah Arif Khan; Denys Herasymuk; Nazar Protsiv; Julia Stoyanovich (CoRR, 2024)

Automated Data Cleaning can Hurt Fairness in Machine Learning-Based Decision Making. - Shubha Guha; Falaah Arif Khan; Julia Stoyanovich; Sebastian Schelter (IEEE Trans. Knowl. Data Eng., 2024)

We Are AI: Taking Control of Technology. - Julia Stoyanovich; Armanda Lewis; Eric Corbett; Lucius E. J. Bynum; Lucas Rosenblatt; Falaah Arif Khan (AAAI, 2025)

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs. - Yinong Oliver Wang; Nivedha Sivakumar; Falaah Arif Khan; Rin Metcalf Susa; Adam Golinski; Natalie Mackraz; Barry-John Theobald; Luca Zappella; Nicholas Apostoloff (CoRR, 2025)