Realizing the Promises of Algorithmic Recourse through Reliability, Accessibility, and Fairness Principles
Association for Computing Machinery (ACM) via YouTube
Overview
Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Explore how algorithmic recourse can fulfill its potential through the implementation of Reliability, Accessibility, and Fairness (RAF) principles in this 14-minute conference talk from the Association for Computing Machinery's Algorithmic Fairness & Recourse session. Learn from authors Kate Boxer and Daniel B. Neill as they examine the critical framework needed to ensure that algorithmic recourse systems deliver on their promises of providing meaningful pathways for individuals to change unfavorable automated decisions. Discover how reliability ensures consistent and dependable recourse recommendations, accessibility guarantees that recourse options are achievable for diverse populations, and fairness prevents discriminatory outcomes in recourse provision. Gain insights into the practical challenges and solutions for implementing these principles in real-world algorithmic systems, and understand how the RAF framework can bridge the gap between theoretical algorithmic recourse concepts and their effective deployment in practice.
Syllabus
Realizing the Promises of Algorithmic Recourse through RAF Principles
Taught by
Association for Computing Machinery (ACM)