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Operationalising Trustworthy AI Governance: Beyond Motherhood and Apple Pie?

In recent years, ‘AI ethics’ codes have proliferated from a wide variety of sources, ranging from those published by individual tech firms through to collective initiatives from European and international policy-makers, including the EU, UNESCO and the OECD. 

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The government has opened a consultation on a legal framework for the use of facial recognition technologies amid controversy over a ‘surveillance society’. 

A peer-reviewed study published in Data & Policy by legal scholar Karen Yeung of the University of Birmingham, and Wenlong Li of Zhejiang University, warns that the testing of AI systems “in the wild” remains a largely ungoverned frontier – a “wild west” where police experiments with live facial recognition have repeatedly breached ethical and legal boundaries.

In-the-wild testing of police facial recognition systems has failed to generate clear evidence of the technology’s benefits, or to assess the full range of socio-technical impacts

This policy brief examines the legitimacy and effectiveness of the EU‘s ‘New Approach’ to technical standardisation, focusing on software-based applications and services that are informed by the analysis of data that affect individuals, groups, societal rights and interests (which we call ‘data informed applications and services’).

Contemporary life relies on regulation. The quality and safety of the water we drink, the food we eat, and the social media applications we use are all governed by multiple regulatory regimes.

The Metropolitan Police is taking an “irresponsible” approach to deploying live facial-recognition technology, say experts. We talk to civil society groups, lawyers and politicians about the controversial programme.

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AI is leading the economic charge. In fact, without the massive investments in AI, our economy would look a lot worse right now. But what are the social and political costs that we incur? In this podcast, Karen Yeung is a guest of Reid Blackman. She argues that investments in AI our consolidating power while […]

BBC Radio 4: Biohacking – Deal with it
BBC Radio 5 Live: Algorithms making decisions: the problems
British Academy, ‘Big data, society and you’
World Economic Forum Podcast: Regulation for the Fourth Industrial Revolution

Blogs

By James Maclaren, Aaron Ceross, Fabian Lutz, Patricia Shaw, Milla Vidina and Karen Yeung.

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In this blogpost, Dr James Mclaren and Professor Karen Yeung discuss the relevance of “use cases” for artificial intelligence systems by Dr. James MacLaren &...

One of the most commonly expressed concerns about AI systems is their capacity to produce unfairly discriminatory outputs and decisions. Well-known examples abound: for instance,...

A fusion of technical and legal expertise could help to build more trustworthy AI systems

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Professor Karen Yeung discusses some pressing issues of digital enchantment and innovation. One of the central promises of the current UK government was to liberate...

One of the central promises of the current UK government was to liberate the UK from the shackles of EU regulation, thereby doing away with...

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