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        Beyond Data

        Human Rights, Ethical and Social Impact Assessment in AI

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        Author(s)
        Mantelero, Alessandro
        Language
        English
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        Abstract
        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.
        URI
        https://library.oapen.org/handle/20.500.12657/57009
        Keywords
        Human Rights; Artificial Intelligence; Impact Assessment; Ethics; Data Protection; Fundamental Rights; Human Rights Impact Assessment (HRIA); AI Regulation
        DOI
        10.1007/978-94-6265-531-7
        ISBN
        9789462655317, 9789462655317
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        The Hague, 2022
        Imprint
        T.M.C. Asser Press
        Series
        Information Technology and Law Series, 36
        Pages
        200
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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