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Artificial Intelligence (AI)

Alternative labels
Generative AI (GenAI)
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Artificial Intelligence (AI)
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Working paper

Governing live automated facial recognition systems for policing in England and Wales


The use of live automated facial recognition (AFR) systems in England and Wales for law enforcement purposes has been the subject of criticism concerning the inadequacy of governance of the technology. This working paper contributes to public policy literature on technology governance, exploring governance through the lens of trust.
Report

Chatbots RESET: a framework for governing responsible use of conversational AI in healthcare


The use of artificial intelligence (AI) and chatbots in healthcare is a true reflection of the current times, when the world had to move in a flash to digital systems. The Chatbots RESET framework reflects months of effort by the project community, with contributions from numerous stakeholders, bringing their diverse perspectives to bear on key...
Technical report

Using artificial intelligence to make decisions: addressing the problem of algorithmic bias


This report explores how the problem of algorithmic bias can arise in decision making that uses artificial intelligence (AI). This problem can produce unfair and potentially unlawful decisions.
Report

Achieving trustworthy AI


Artificial intelligence (AI) is reshaping the competitive landscape across all sectors of the economy, bringing significant business and societal benefits as well as emerging risks to people. This report provides an integrative model for organisations looking to design and deploy trustworthy AI systems.
Working paper

Beyond Huawei and TikTok: untangling U.S. concerns over Chinese tech companies and digital security


This paper traces one aspect of the 'securitisation' of technology policy in U.S.-China relations. It seeks to identify and disaggregate the main challenges facing policymakers who are troubled by China’s growing technological power, as expressed through the actual or potential effects of Chinese technology companies doing business in the U.S. market.