There is no such thing as race in health-care algorithms - The Lancet Digital Health
Data driven profiling: The hardwiring of discriminatory policing practices across Europe
Discusses harms of racial policing practices, potential effects of data driven technologies & opportunities for activism
From oximeters to AI, where bias in medical devices may lurk
Analysis: issues with some gadgets could contribute to poorer outcomes for women and people of colour
Challenging racism in the use of health data - The Lancet Digital Health
Facial recognition use by South Wales Police ruled unlawful - BBC News
Ed Bridges, 37, from Cardiff, brought a legal challenge after having his image captured twice.
Review into bias in algorithmic decision-making - GOV.UK
TUC report: Technology Managing People – the legal implications
A blog examining the legal implications of the use of AI in the workplace.
Artificial Intelligence in Hiring: Assessing Impacts on Equality
The use of artificial intelligence (AI) presents risks to equality, potentially embedding bias and discrimination. Auditing tools are often promised as a solution. However our new research, which examines tools for auditing AI used in recruitment, finds these tools are often inadequate in ensuring compliance with UK Equality Law, good governance and best practice.
We argue in this report that a more comprehensive approach than technical auditing is needed to safeguard equality in the use of AI for hiring, which shapes access to work. Here, we present first steps which could be taken to achieve this. We also publish a prototype AI Equality Impact Assessment which we plan to develop and pilot.
Between Antidiscrimination and Data: Understanding Human Rights Discourse on Automated Discrimination in Europe
Automated decision making threatens to
disproportionately impact society’s most vulnerable
communities living at the intersection of economic and
social marginalization. The report discusses