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This book addresses a crucial and timely question: who will evaluate the ethical practices of increasingly intelligent AI systems, and what qualifications will they need to ensure those ethics are applied responsibly? As AI systems become more capable of fostering trust in human-machine interactions, developers and data scientists are becoming more aware of the importance of programming ethical and non-discriminatory algorithms. Simultaneously, laws may soon require companies to continuously assess the social and ethical impacts of their AI products. But who will oversee these evaluations, and how can we prevent ethics from being distorted or misused? Rather than focusing on how ethical principles should be applied to AI, this book takes a unique approach by exploring the role of the 'ethics officer' the individual responsible for ensuring an AI system's ethical compliance. With AI regulation gaining momentum across the globe, ethics is becoming a critical component of international technology leadership, and this book provides insight into these critical questions, exploring how the role of the ethics officer might evolve as AI becomes more pervasive and regulated, and what it will take to ensure that AI serves society ethically and responsibly.
List of contents
Preface.- Chapter 1. AI Ethics Advisor Office: Scope and Purpose.- Chapter 2. AI Ethics Advisory and Principlism: Bridging Theory and Practice.- Chapter 3. AI Ethics Advisor s Guide to Trust: Why Perception Matters.- Chapter 4. AI Ethicist in Action: Strategies for Operationalising AI Ethics.- Chapter 5. Preparing Ethics Advisors to AI Governance: Strategies, Regulations, Global Considerations.- Index.
About the author
Carnevale's contributions to the domain of AI Ethics have been documented in esteemed academic publications such as "Alienation and Recognition – The Δ Phenomenology of Human-Social Robot Interactions" (Bisconti & Carnevale, 2022) and "Will robots know us better than we know ourselves?" (Carnevale, 2016), which have provided insightful perspectives on the complex dynamics of human-robot interactions. Transitioning from robotics, his recent focus has shifted towards exploring the ethics surrounding machines, algorithms, and AI. Noteworthy contributions in this area include the development of methodologies such as SAT (Occhipinti et al., 2023) for assessing the social acceptance of innovative AI-based technologies and critical analyses on topics like gender dimensions in big data and personalised medicine (Carnevale et al., 2021). Beyond academia, his expertise extends into consultancy and advocacy realms, bridging theory and practice in a rare and impactful manner. He has served as an expert evaluator for prestigious initiatives like HORIZON-MSCA-2023 and as a national expert for the European standardisation agency CEN-CENELEC. Additionally, he has contributed to influential studies on privacy and 5G technology funded by the Panel for the Future of Science and Technology (STOA) of the EU Parliament.
Summary
This book addresses a crucial and timely question: who will evaluate the ethical practices of increasingly intelligent AI systems, and what qualifications will they need to ensure those ethics are applied responsibly? As AI systems become more capable of fostering trust in human-machine interactions, developers and data scientists are becoming more aware of the importance of programming ethical and non-discriminatory algorithms. Simultaneously, laws may soon require companies to continuously assess the social and ethical impacts of their AI products. But who will oversee these evaluations, and how can we prevent ethics from being distorted or misused? Rather than focusing on how ethical principles should be applied to AI, this book takes a unique approach by exploring the role of the 'ethics officer'—the individual responsible for ensuring an AI system's ethical compliance. With AI regulation gaining momentum across the globe, ethics is becoming a critical component of international technology leadership, and this book provides insight into these critical questions, exploring how the role of the ethics officer might evolve as AI becomes more pervasive and regulated, and what it will take to ensure that AI serves society ethically and responsibly.
