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Inside the ‘Covid Triangle’: a catastrophe years in the making | Free to read
Inside the ‘Covid Triangle’: a catastrophe years in the making | Free to read
High levels of deprivation and job insecurity, vast income inequality, housing discrimination and medical disparities have long had a severe impact on the tangle of communities and ethnic minority populations that live in these boroughs. But when combined with the necessity to go to work, to take public transport and to share space in densely packed housing, they also provided the perfect breeding ground for a deadly virus. The domino effect would prove catastrophic.
·ft.com·
Inside the ‘Covid Triangle’: a catastrophe years in the making | Free to read
Artificial Intelligence in Hiring: Assessing Impacts on Equality
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.
·up.raindrop.io·
Artificial Intelligence in Hiring: Assessing Impacts on Equality
[1910.06144] What does it mean to solve the problem of discrimination in hiring? Social, technical and legal perspectives from the UK on automated hiring systems
[1910.06144] What does it mean to solve the problem of discrimination in hiring? Social, technical and legal perspectives from the UK on automated hiring systems
The ability to get and keep a job is a key aspect of participating in society and sustaining livelihoods. Yet the way decisions are made on who is eligible for jobs, and why, are rapidly changing...
·arxiv.org·
[1910.06144] What does it mean to solve the problem of discrimination in hiring? Social, technical and legal perspectives from the UK on automated hiring systems