Setting the framework for accountability for algorithmic discrimination at work

Algorithmic discrimination represents a growing challenge for equality law. While the elimination of discrimination in employment and occupation is a fundamental obligation of International Labour Organization members, Australian equality law remains ill-adapted to respond to emerging risks. This article argues that the automated application of machine learning algorithms presents five critical challenges to equality law related to the scale of data used; their speed and scale of application; lack of transparency; growth in employer control; and the complex supply chain associated with digital technologies. Considering principles from privacy and data protection law, third-party and accessorial liability, and collective solutions, this article puts forward reforms and suggestions to better set the framework for accountability for algorithmic discrimination in the workplace.