Explore the intersection of machine learning, predictive analytics, and employment selection in this comprehensive tutorial from the FAT* 2018 conference. Delve into the Equal Employment Opportunity Commission's (EEOC) perspective on the use of 'people analytics tools' in high-stakes decision-making processes. Gain insights into foundational laws, regulations, and theories of discrimination related to these tools. Learn about approaches to measuring adverse impact and validity in people analytics applications. Discover potential research areas of interest to the EEOC as presented by Kelly Trindel from the EEOC and pymetrics. Understand the promises and challenges of using data-driven decision-making in employment contexts, and explore the ethical considerations surrounding these practices.
Translation Tutorial - People Analytics and Employment Selection
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
FAT* 2018 Translation Tutorial: People Analytics and Employment Selection
Taught by
ACM FAccT Conference