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Science, value, and the future of intelligence
This project critically examines conceptions of value in the science of (artificial) intelligence.
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Policy and responsible innovation
This project focuses on the collaborations between technologists, policymakers, and other stakeholders needed for the responsible development of AI.
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The value alignment problem
The Value Alignment Project seeks to design methods for preventing AI systems from inadvertently acting in ways inimical to human values.
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Kinds of intelligence
This project draws on current work in psychology, neuroscience, philosophy, computer science, and cognitive robotics in order to further develop and critically assess notions of general intelligence.
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Autonomous weapons - Prospects for regulation
This research exercise aims to bring an interdisciplinary approach to the question of regulating autonomous weapons systems.
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AI: Agents and persons
This project explores the nature and future of AI agency and personhood, and its impact on our human sense of what it means to be a person.
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Politics and policy
This project examines the challenges that the future of AI poses for democratic politics, including questions of political agency, accountability and representation.
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Trust and transparency
This project is developing processes to ensure that AI systems are transparent, reliable and trustworthy.
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Horizon-scanning and road-mapping
This exercise aims to map the landscape of potential AI breakthroughs and their social consequences.
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AI Narratives
This project examines how we talk and think about AI, and considers the impact this could have on how it is regarded, developed and regulated.
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