AI Ethics: Algorithmic Discrimination

Algorithmic Discrimination will specifically focus on impacts of using data-driven approaches and algorithms in the workplace and draw on economic and social science theory to inform our discussions.

This session will take a critical, deep-dive into what this means and will explore this through the following reading material with an objective to produce a short article summarizing the views from our discussions.

Readings: [Mandatory for this session - this session there won't be as much time as previous sessions (see agenda) to discuss the readings so make sure to do this before arriving]

Beginner Readings:

1. Economic Models of (Algorithmic) Discrimination http://www.mlandthelaw.org/papers/goodman2.pdf

Veteran Readings:

1. Data-Driven Discrimination at Work http://scholarship.law.wm.edu/cgi/viewcontent.cgi?article=3680&context=wmlr

NOTE : Please join Slack via http://bit.ly/ai-ethics-signup as we will be actively discussing things there leading up to the session.

Format : [Session will start sharp 6:30 pm]

6:30-6:35 Introduction

6:35-6:40 Break out into groups

6:40-7:00 Group discussion

7:00-7:55 Group presentations and debate [3 min. presentation + 4 min cross-questioning by group]

7:55-8:00 Session wrap-up