Analysis: issues with some gadgets could contribute to poorer outcomes for women and people of colour

A blog examining the legal implications of the use of AI in the workplace.

Britain must urgently regulate how companies use artificial intelligence (AI) at work, unions said on Thursday, warning of widespread discrimination if the technology is left unchecked.

BAME couriers working for Uber Eats and Uber claim that the company’s flawed identification technology is costing them their livelihoods

With remote learning now the norm, universities are using surveillance software to keep tabs on students who are not engaging with their studies

Guide on how the UK’s borders, immigrations, and citizenship system tracks and spies on people, and which companies profit.

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.

Call for more transparency on how such tools are used in public services as 20 councils stop using computer algorithms. The Home Office recently stopped using an algorithm to help decide visa applications after allegations that it contained “entrenched racism”.

Automated decision making threatens to disproportionately impact society’s most vulnerable communities living at the intersection of economic and social marginalization. The report discusses

'Machine learning is revolutionising healthcare provision and delivery, from mobilising previously inaccessible data sources to generating increasingly powerful algorithmic constructs for prognostic modelling. However, it is becoming increasingly obvious that if we do not learn from the mistakes of our past, that we are doomed to repeat them; if it isn’t already too late'

Mapping a child's digital footprint across England's state education landscape. Policy recommendations for building a rights' respecting digital environment

Discusses harms of racial policing practices, potential effects of data driven technologies & opportunities for activism

Ed Bridges, 37, from Cardiff, brought a legal challenge after having his image captured twice.