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oapen-20.500.12657-57009
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dspace
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oapen-20.500.12657-570092022-06-21T03:05:55Z Beyond Data Mantelero, Alessandro Human Rights Artificial Intelligence Impact Assessment Ethics Data Protection Fundamental Rights Human Rights Impact Assessment (HRIA) AI Regulation bic Book Industry Communication::L Law::LN Laws of Specific jurisdictions::LNJ Entertainment & media law bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPV Political control & freedoms::JPVH Human rights bic Book Industry Communication::L Law::LB International law bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence bic Book Industry Communication::L Law::LB International law::LBB Public international law This open access book focuses on the impact of Artificial Intelligence (AI) on individuals and society from a legal perspective, providing a comprehensive risk-based methodological framework to address it. Building on the limitations of data protection in dealing with the challenges of AI, the author proposes an integrated approach to risk assessment that focuses on human rights and encompasses contextual social and ethical values. The core of the analysis concerns the assessment methodology and the role of experts in steering the design of AI products and services by business and public bodies in the direction of human rights and societal values. Taking into account the ongoing debate on AI regulation, the proposed assessment model also bridges the gap between risk-based provisions and their real-world implementation. The central focus of the book on human rights and societal values in AI and the proposed solutions will make it of interest to legal scholars, AI developers and providers, policy makers and regulators. Alessandro Mantelero is Associate Professor of Private Law and Law & Technology in the Department of Management and Production Engineering at the Politecnico di Torino in Turin, Italy. 2022-06-20T19:31:27Z 2022-06-20T19:31:27Z 2022 book ONIX_20220620_9789462655317_27 9789462655317 https://library.oapen.org/handle/20.500.12657/57009 eng Information Technology and Law Series application/pdf n/a 978-94-6265-531-7.pdf https://link.springer.com/978-94-6265-531-7 Springer Nature T.M.C. Asser Press 10.1007/978-94-6265-531-7 10.1007/978-94-6265-531-7 6c6992af-b843-4f46-859c-f6e9998e40d5 9789462655317 T.M.C. Asser Press 36 200 The Hague open access
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OAPEN
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DSpace
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| language |
English
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| description |
This open access book focuses on the impact of Artificial Intelligence (AI) on individuals and society from a legal perspective, providing a comprehensive risk-based methodological framework to address it. Building on the limitations of data protection in dealing with the challenges of AI, the author proposes an integrated approach to risk assessment that focuses on human rights and encompasses contextual social and ethical values. The core of the analysis concerns the assessment methodology and the role of experts in steering the design of AI products and services by business and public bodies in the direction of human rights and societal values. Taking into account the ongoing debate on AI regulation, the proposed assessment model also bridges the gap between risk-based provisions and their real-world implementation. The central focus of the book on human rights and societal values in AI and the proposed solutions will make it of interest to legal scholars, AI developers and providers, policy makers and regulators. Alessandro Mantelero is Associate Professor of Private Law and Law & Technology in the Department of Management and Production Engineering at the Politecnico di Torino in Turin, Italy.
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| title |
978-94-6265-531-7.pdf
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| spellingShingle |
978-94-6265-531-7.pdf
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| title_short |
978-94-6265-531-7.pdf
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| title_full |
978-94-6265-531-7.pdf
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| title_fullStr |
978-94-6265-531-7.pdf
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| title_full_unstemmed |
978-94-6265-531-7.pdf
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| title_sort |
978-94-6265-531-7.pdf
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| publisher |
Springer Nature
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| publishDate |
2022
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| url |
https://link.springer.com/978-94-6265-531-7
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| _version_ |
1771297522572066816
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