Falaah Arif Khan

PhD Candidatefa2161 (at) nyu.eduPersonal Website

Falaah is a Data Science PhD student working with Prof Julia Stoyanovich on the ‘fairness’ and ’stability’ of algorithmic systems. An engineer by training and an artist by nature, Falaah also creates scientific comic books to bridge together scholarship from different disciplines, and to disseminate the nuances of her research in a way that is more accessible to the general public. Falaah holds an undergraduate degree in Electronics and Communication Engineering, with a minor in Mathematics from Shiv Nadar University, India, and has industry experience in building machine learning models for access management and security at Dell EMC.

Selected publications

  1. Subset Modelling: A Domain Partitioning Strategy for Data-efficient Machine-Learning
    Vı́tor Ribeiro, Eduardo H. M. Pena, Raphael Freitas Saldanha, Reza Akbarinia, Patrick Valduriez, Falaah Arif Khan, Julia Stoyanovich, and Fábio Porto
    In Proceedings of the 38th Brazilian Symposium on Databases, SBBD 2023, Belo Horizonte, MG, Brazil, September 25-29, 2023 2023
  2. Automated Data Cleaning Can Hurt Fairness in Machine Learning-based Decision Making
    Shubha Guha, Falaah Arif Khan, Julia Stoyanovich, and Sebastian Schelter
    In Proceedings of the 39th International Conference on Data Engineering, ICDE 2023
  3. The Unbearable Weight of Massive Privilege: Revisiting Bias-Variance Trade-Offs in the Context of Fair Prediction
    Falaah Arif Khan, and Julia Stoyanovich
    CoRR 2023
  4. On Fairness and Stability: Is Estimator Variance a Friend or a Foe?
    Falaah Arif Khan, Denys Herasymuk, and Julia Stoyanovich
    CoRR 2023
  5. An Interactive Introduction to Causal Inference
    Lucius E.J. Bynum, Falaah Arif Khan, Oleksandra Konopatska, Joshua R. Loftus, and Julia Stoyanovich
    VISxAI: Workshop on Visualization for AI Explainability 2022
  6. Translational Tutorial: Fairness and Friends
    Falaah Arif Khan, Eleni Manis, and Julia Stoyanovich
    In 4th Annual Conference on Fairness, Accountability, and Transparency, ACM FAccT 2021
  7. All Aboard! Making AI Education Accessible
    Falaah Arif Khan, Lucius Bynum, Amy Hurst, Lucas Rosenblatt, Meghana Shanbhogue, Mona Sloane, and Julia Stoyanovich
    Center for Responsible AI, New York University 2023
  8. What is AI?
    Julia Stoyanovich, and Falaah Arif Khan
    We are AI Comic Series 2021
  9. What is AI? (Spanish Edition)
    Julia Stoyanovich, and Falaah Arif Khan
    We are AI Comic Series 2021
  10. What is AI? (Greek Edition)
    Julia Stoyanovich, and Falaah Arif Khan
    We are AI Comic Series 2021
  11. Learning from data
    Julia Stoyanovich, and Falaah Arif Khan
    We are AI Comic Series 2021
  12. Learning from data (Spanish Edition)
    Julia Stoyanovich, and Falaah Arif Khan
    We are AI Comic Series 2021
  13. Who lives, who dies, who decides?
    Julia Stoyanovich, Mona Sloane, and Falaah Arif Khan
    We are AI Comic Series 2021
  14. Who lives, who dies, who decides? (Spanish Edition)
    Julia Stoyanovich, Mona Sloane, and Falaah Arif Khan
    We are AI Comic Series 2021
  15. All about that bias
    Julia Stoyanovich, and Falaah Arif Khan
    We are AI Comic Series 2021
  16. All about that bias (Spanish Edition
    Julia Stoyanovich, and Falaah Arif Khan
    We are AI Comic Series 2021
  17. We are AI
    Julia Stoyanovich, and Falaah Arif Khan
    We are AI Comic Series 2021
  18. We are AI
    Julia Stoyanovich, and Falaah Arif Khan
    We are AI Comic Series 2021
  19. Mirror, Mirror
    Falaah Arif Khan, and Julia Stoyanovich
    Data, Responsibly Comic Series 2020
  20. Mirror, Mirror (French Edition)
    Falaah Arif Khan, and Julia Stoyanovich
    Data, Responsibly Comic Series 2020
  21. Mirror, Mirror (Spanish Edition)
    Falaah Arif Khan, and Julia Stoyanovich
    Data, Responsibly Comic Series 2020
  22. Mirror, Mirror (Portugueze Edition)
    Falaah Arif Khan, and Julia Stoyanovich
    Data, Responsibly Comic Series 2020
  23. Fairness and Friends
    Falaah Arif Khan, Eleni Manis, and Julia Stoyanovich
    Data, Responsibly Comic Series 2021
  24. Towards Substantive Conceptions of Algorithmic Fairness: Normative Guidance from Equal Opportunity Doctrines
    Falaah Arif Khan, Eleni Manis, and Julia Stoyanovich
    In Equity and Access in Algorithms, Mechanisms, and Optimization, EAAMO 2022, Arlington, VA, USA, October 6-9, 2022 2022
  25. 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, and Julia Stoyanovich
    Data Mining and Knowledge Discovery, Special Issue on Bias and Fairness in AI 2022
  26. Towards Substantive Conceptions of Algorithmic Fairness: Normative Guidance from Equal Opportunity Doctrines
    Falaah Arif Khan, Eleni Manis, and Julia Stoyanovich
    In Equity and Access in Algorithms, Mechanisms, and Optimization, EAAMO 2022, Arlington, VA, USA, October 6-9, 2022 2022