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Knowledge Hub

Equality

To understand why equality is important in debates about the future of work we must understand how technology itself works and drives different outcomes for different groups. This shelf has been curated by IFOW with select favourite resources from Research Fellows. We are keen to critically engage with a wide range of perspectives on the future of work. These resources do not necessarily reflect the views of IFOW.

Equality

Promoting Equality through the age of automation

A rich discussion at CogX of the equality implications of contemporary technologies at work.
Equality

The Coded Gaze: Bias in Artificial Intelligence

Joy Buolamwini, founder of the Algorithmic Justice League, presents at the Bloomberg Equality Summit in New York.
Equality

Bias in algorithmic decision-making

An introduction to online targeting and bias in algorithmic decision-making from CDEI.
Equality

All the Ways Hiring Algorithms Can Introduce Bias

This paper considers the ways to mitigate bias in automating hiring, at each stage of the process.
Equality

What does it mean to solve the problem of discrimination in hiring? Social, technical and legal perspectives from the UK on automated hiring systems

This paper scrutinises alleged solutions to the problem of bias in hiring.
Equality

Artificial intelligence, Machine Learning, Algorithms and Discrimination law: The new frontier

In this paper from Robin Allen QC proposes a coordinated response to the ethnical implications of AI
Equality

Artificial Intelligence in Hiring: Assessing Impacts on Equality

In this paper we review auditing tools and find they are often unclear on definitions of fairness and not compliant with UK Law
Equality

Bias and Representation in Artificial Intelligence

In this video, Timnit Gebru shares the ways in which artificial intelligence can compound racial inequalities
Equality

Discrimination in the Age of Algorithms

This paper considers how discrimination operates in the ‘Age of Algorithms’.
Equality

Equality Task Force: Machine Learning Case Studies

This report presents a series of fictional case studies which explore the use of Machine Learning at Work. These were used to inform the IFOW Equality Task Force.
Equality

Left of Black

In this event André Brock, Jr. discusses his book Distributed Blackness: African American Cybercultures.
Equality

Race, Justice and Technology

In this talk, Ruha Benhamin discusses her book Captivating Technology - Race, Carceral Technoscience, and Liberatory Imagination in Everyday Life
Equality

Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor

In this lecture, Virginia Eubanks discusses her book, Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor.
Equality

The New Jim Code? Race, Carceral Technoscience, and Liberatory Imagination in Everyday Life

In this talk, Ruha Benjamin discusses her book, Race After Technology: Abolitionist Tools for the New Jim Code by Ruha Benjamin
Equality

Weapons of Math Destruction

In this talk, Cathy O’Neil talks about her book, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy.

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