Human Rights and the Governance of Artificial Intelligence

Artificial intelligence (AI) is bound to enable innovation in the decades to come. On the one hand, AI technologies may be used to improve societal well-being and help fight human rights abuses. On the other hand, AI presents a variety of challenges that can profoundly affect the respect for and protection of human rights. Therefore, it is important to place international human rights law (IHRL) at the centre of discussions about AI governance.

Our New Research Brief Human Rights and the Governance of Artificial Intelligence discusses the opportunities and risks that AI represents for human rights, recalls that IHRL should occupy a central place in the governance of AI and outlines two additional avenues to regulation: public procurement and standardization.

Written by Dr Ana Beduschi, Associate Professor of Law at the University of Exeter, the paper also calls for a more coordinated approach – under the United Nations leadership – that breaks silos and goes beyond sectoral and specialized audiences.

AUTHOR

Ana Beduschi

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Portrait of Ana Beduschi News

Our New Visiting Fellow: Dr Ana Beduschi

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Dr Ana Beduschi is a Senior Lecturer in Law at the University of Exeter. Her research and teaching focus on international human rights law, technology, as well as international migration and refugee law. She just started as Visiting Fellow at the Geneva Academy and will stay with us until December 2019.

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Photo of an art installation: The installation is made up of robots with eyes. When a user begins to interact with their smartphone, one of the robot eyes opens and begins looking around the room. When the interaction is over, the eye closes again. News

New Models of Governance Must Address the Human Rights Challenges Raised by Artificial Intelligence

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Our New Research Brief Human Rights and the Governance of Artificial Intelligence discusses the opportunities and risks that AI represents for human rights, recalls that international human rights law should occupy a central place in the governance of AI and outlines two additional avenues to regulation: public procurement and standardization.

Read more >

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