Challenges of Incorporating Algorithmic Fairness into Industry Practice
Association for Computing Machinery (ACM) via YouTube
Overview
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 DudÃk, 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.
Syllabus
FAT* 2019 Translation Tutorial: Challenges of incorporating algorithmic fairness
Taught by
ACM FAccT Conference