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.
Specific to this book:
- The only book until now to focus on the human rights impact assessment for AI, including social and ethical issues
- Discusses three different approaches to the regulation of AI (principle-based, risk-based and conformity-oriented)
- Investigates i.a. current and future European regulation and policy, the challenges posed by AI and its global dimension
With a foreword by Prof Joe Cannataci, former UN Special Rapporteur on the right to privacy
Excerpt from a book review:
In previous works, Alessandro [Mantelero] developed an ambitious and insightful model called PESIA (privacy, ethical and social impact assessment). It was a versatile framework to assess Big Data and AI. In BEYOND DATA, he evolves this framework into a comprehensive assessment that includes human rights, as well as ethics and social impact (aptly called HRESIA). It’s a powerful framework that can be operationalized to render evaluation and recommendations.
- Viktor Mayer-Schoenberger
The full review is available at: https://www.linkedin.com/feed/update/urn:li:activity:6944549815833817088/
This is Volume 36 in the Information Technology and Law (IT&Law) Series