Ethical Artificial Intelligence from Popular to Cognitive Science

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A01=Jordan Richard Schoenherr
ACM Code
Age of Entanglement
AISs
algorithm selection process
Anti-virus
Anti-virus Software
Antivirus Software
artificial intelligence
Author_Jordan Richard Schoenherr
Category=JMA
Category=JMH
Category=JMR
Category=UBJ
Category=UBL
Category=UYQ
CHPS
computer
Concerted Effort
data
data integrity in automation
Data Sets
design
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
ethical
ethical sensemaking models
ethics
High Competence Ratings
High Machs
human-machine collaboration
ITU
Junk DNA
Popular Science
Popular Science Discourse
Popular Science Monthly
Postconventional Moral Reasoning
Predicted Cheating Behaviour
Psychological Science
psychological science in AI ethics
SARS CoV-2
Smart Phones
social cognition in AI
stakeholder values analysis
Student Cheating Behaviour
Tamil Nadu
Technical Affordances
trust
Tv Violence
User Individual Differences
Virtue Theory

Product details

  • ISBN 9780367698003
  • Weight: 580g
  • Dimensions: 156 x 234mm
  • Publication Date: 24 Jun 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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This book offers a unique interdisciplinary perspective on the ethics of 'artificial intelligence' – autonomous, intelligent, (and connected) systems, or AISs, applying principles of social cognition to understand the social and ethical issues associated with the creation, adoption, and implementation of AISs.

As humans become entangled in sociotechnical systems defined by human and artificial agents, there is a pressing need to understand how trust is created, used, and abused. Compounding the difficulty in answering these questions, stakeholders directly or indirectly affected by these systems differ in their motivations, understanding, and values. This volume provides a comprehensive resource to help stakeholders understand ethical issues of designing and implementing AISs using an ethical sensemaking approach. Starting with the general technical affordances of AIS, Dr. Jordan Richard Schoenherr considers the features of system design relating data integrity, selection and interpretation of algorithms, and the evolution processes that drive AISs innovation as a sociotechnological system. The poles of technophobia (algorithmic aversion) and technophilia (algorithmic preference) in the public perception of AISs are then described and considered against existing evidence, including issues ranging from the displacement and re-education needs of the human workforce, the impact of use of technology on interpersonal accord, and surveillance and cybersecurity. Ethical frameworks that provide tools for evaluating the values and outcomes of AISs are then reviewed, and how they can be aligned with ethical sensemaking processes identified by psychological science is explored. Finally, these disparate threads are brought together in a design framework.

Also including sections on policies and guideline, gaming and social media, and Eastern philosophical frameworks, this is fascinating reading for students and academics in psychology, computer science, philosophy, and related areas, as well as professionals such as policy makers and those working with AI systems.

Dr. Jordan Richard Schoenherr is an assistant professor in the Department of Psychology (Concordia University), an adjunct research professor in the Department of Psychology and member of the Institute for Data Science (Carleton University), and a former visiting scholar at the US Military Academy (West Point). His primary areas of interest are decision-making, ethics, and learning with application in metacognition, the health professions, and the ethics of artificial intelligence.

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