Beyond Data : : Human Rights, Ethical and Social Impact Assessment in AI.

• Superior document: Information Technology and Law Series ; v.36
• Author: Mantelero, Alessandro.
• TeilnehmendeR: Mantelero, Alessandro.
• Place / Publishing House: The Hague : : T.M.C. Asser Press,, 2022.; Ã2022.
• Year of Publication: 2022
• Edition: 1st ed.
• Language: English
• Series: Information Technology and Law Series
• Physical Description: 1 online resource (215 pages)

Table of Contents

Intro -- Foreword -- Preface -- Contents -- About the Author -- 1 Beyond Data -- Abstract -- 1.1 Introduction -- 1.2 Rise and Fall of Individual Sovereignty Over Data Use -- 1.3 Reconsidering Self-determination: Towards a Safe Environment -- 1.4 A Paradigm Shift: The Focus on Risk Assessment -- 1.5 HRESIA: A Multi-layered Process -- 1.6 The Role of Experts -- 1.7 Assessing the Impact of Data-Intensive AI Applications: HRESIA Versus PIA/DPIA, SIA and EtIA -- 1.8 The HRESIA and Collective Dimension of Data Use -- 1.9 Advantages of the Proposed Approach -- 1.10 Summary -- References -- 2 Human Rights Impact Assessment and AI -- Abstract -- 2.1 Introduction -- 2.2 A Legal Approach to AI-Related Risks -- 2.3 Human Rights Impact Assessment of AI in the HRESIA Model -- 2.3.1 Planning and Scoping -- 2.3.2 Data Collection and the Risk Analysis Methodology -- 2.4 The Implementation of the Model -- 2.4.1 A Case Study on Consumer Devices Equipped with AI -- 2.4.1.1 Planning and Scoping -- 2.4.1.2 Initial Risk Analysis and Assessment -- 2.4.1.3 Results of the Initial Assessment -- 2.4.1.4 Mitigation Measures and Re-assessment -- 2.4.2 A Large-Scale Case Study: Smart City Government -- 2.5 Summary -- References -- 3 The Social and Ethical Component in AI Systems Design and Management -- Abstract -- 3.1 Beyond Human Rights Impact Assessment -- 3.1.1 The Socio-ethical Framework: Uncertainty, Heterogeneity and Context Dependence -- 3.1.2 The Risk of a 'Transplant' of Ethical Values -- 3.1.3 Embedding Ethical and Societal Values -- 3.1.4 The Role of the Committee of Experts: Corporate Case Studies -- 3.2 Existing Models in Medical Ethics and Research Committees -- 3.2.1 Clinical Ethics Committees -- 3.2.2 Research Ethics Committees -- 3.2.3 Ethics Committees for Clinical Trials -- 3.2.4 Main Inputs in Addressing Ethical and Societal Issues in AI.

3.3 Ad Hoc HRESIA Committees: Role, Nature, and Composition -- 3.4 Rights-Holder Participation and Stakeholder Engagement -- 3.5 Summary -- References -- 4 Regulating AI -- Abstract -- 4.1 Regulating AI: Three Different Approaches to Regulation -- 4.2 The Principles-Based Approach -- 4.2.1 Key Principles from Personal Data Regulation -- 4.2.1.1 Primacy of the Human Being -- 4.2.1.2 Human Control and Oversight -- 4.2.1.3 Participation and Democratic Oversight on AI Development -- 4.2.1.4 Transparency and Intelligibility -- 4.2.1.5 Precautionary Approach and Risk Management -- 4.2.1.6 Accountability -- 4.2.1.7 Data Minimisation and Data Quality -- 4.2.1.8 Role of Experts and Participation -- 4.2.1.9 Algorithm Vigilance -- 4.2.2 Key Principles from Biomedicine Regulation -- 4.2.2.1 Primacy of the Human Being -- 4.2.2.2 Equitable Access to Health Care -- 4.2.2.3 Acceptability -- 4.2.2.4 Principle of Beneficence -- 4.2.2.5 Private Life and Right to Information -- 4.2.2.6 Professional Standards -- 4.2.2.7 Non-discrimination -- 4.2.2.8 Role of Experts -- 4.2.2.9 Public Debate -- 4.2.3 A Contribution to a Future Principles-Based Regulation of AI -- 4.3 From Design to Law - The European Approaches and the Regulatory Paradox -- 4.3.1 The Council of Europe's Risk-Based Approach Centred on Human Rights, Democracy and Rule of Law -- 4.3.2 The European Commission's Proposal (AIA) and Its Conformity-Oriented Approach -- 4.4 The HRESIA Model's Contribution to the Different Approaches -- 4.5 Summary -- References -- 5 Open Issues and Conclusions -- Abstract -- 5.1 Addressing the Challenges of AI -- 5.2 The Global Dimension of AI -- 5.3 Future Scenarios -- References -- Index.