Challenges of Incorporating Algorithmic Fairness into Industry Practice

Explore the challenges of implementing algorithmic fairness in industry settings through this comprehensive tutorial from the FAT* 2019 conference. Gain insights into the organizational and technical hurdles faced by practitioners when translating fairness research into real-world applications. Delve into topics such as stakeholder involvement, data gathering, resource allocation, and prioritizing trade-offs. Learn from the experiences of industry experts and researchers, including Henriette Cramer, Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé III, Miroslav Dudík, Hanna Wallach, Sravana Reddy, and Jean Garcia-Gathright. Discover approaches taken by practitioners, potential pitfalls to avoid, and understudied practical challenges that may hinder research impact. Explore opportunities for productive researcher-practitioner partnerships and understand the complexities involved in forming and maintaining such collaborations. Access the presentation slides for a deeper dive into the material covered in this 1 hour 36 minute session, chaired by Swati Gupta from Georgia Tech.

FAT* 2019 Translation Tutorial: Challenges of incorporating algorithmic fairness