Ethical Artificial Intelligence from Popular to Cognitive Science: Trust in the Age of Entanglement
Ethical Artificial Intelligence from Popular to Cognitive Science: Trust in the Age of Entanglement
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This book provides an interdisciplinary perspective on the ethics of artificial intelligence systems, applying social cognition principles to understand the social and ethical issues associated with their creation, adoption, and implementation. It discusses the features of system design, the public perception of AISs, ethical frameworks, and a design framework for evaluating the values and outcomes of AISs. It is a valuable resource for students, academics, professionals, and policymakers interested in AI systems and their ethical implications.
Format: Paperback / softback
Length: 212 pages
Publication date: 24 June 2022
Publisher: Taylor & Francis Ltd
This book offers a groundbreaking interdisciplinary perspective on the ethics of artificial intelligence (AIS), encompassing autonomous, intelligent, and connected systems. By applying principles of social cognition, it delves into the social and ethical issues associated with the creation, adoption, and implementation of AISs. As humans increasingly intertwine with sociotechnical systems driven by both human and artificial agents, understanding the dynamics of trust becomes crucial. Compounding the complexity, stakeholders involved in these systems hold diverse motivations, understandings, and values, making it challenging to address ethical concerns effectively.
To address this pressing need, this volume provides a comprehensive resource for stakeholders seeking to understand the ethical implications of designing and implementing AISs. It begins by exploring the general technical affordances of AIS, including considerations of data integrity, algorithm selection and interpretation, and the evolutionary processes that shape their development as sociotechnological systems.
Next, the book delves into the public perception of AISs, examining the contrasting poles of technophobia (algorithmic aversion) and technophilia (algorithmic preference). It assesses these perceptions against existing evidence, encompassing topics such as the impact on the human workforce, interpersonal accord, surveillance, and cybersecurity. Ethical frameworks are then reviewed, offering valuable tools for evaluating the values and outcomes of AISs.
Furthermore, the book explores how these ethical frameworks can be aligned with ethical sensemaking processes identified by psychological science. It sheds light on the cognitive processes and mental models that underpin ethical decision-making and how they can be applied to the ethical evaluation of AISs.
To bring these diverse threads together, the book presents a design framework that integrates ethical considerations into the development and implementation of AISs. It emphasizes the importance of interdisciplinary collaboration, transparency, and accountability in ensuring the ethical and responsible use of AISs.
In addition to its theoretical insights, the book includes sections on policy and regulation, highlighting the need for comprehensive guidelines and frameworks to govern the ethical development and deployment of AISs. It discusses the challenges and opportunities associated with regulating AI, including the balance between innovation and protection, the role of international cooperation, and the importance of ethical education and awareness.
Overall, this book serves as a vital resource for researchers, policymakers, industry professionals, and anyone interested in understanding the ethical implications of artificial intelligence. By providing a comprehensive and interdisciplinary perspective, it equips stakeholders with the tools and knowledge necessary to navigate the complex terrain of AIS ethics and ensure the responsible and beneficial development of these advanced technologies.
Dimension: 234 x 156 (mm)
ISBN-13: 9780367697983
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