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With the growing use of AI and the introduction of large language models, such as ChatGPT, conversations about ethics have become commonplace. For many, this is the first time they have meaningfully considered the ethical and unethical use of technology in various settings, including education and the workplace.
This book reviews the history, nature, and complexity of computer ethics. It discusses the importance of computing ethics education, the process of ethical decision-making among computer science students, as well as misconceptions and biases that impact ethical decision-making.
List of contents
Introduction.- Why Should We Care about Computer Ethics?.- A Review of the History of Ethics and Ethics Education in Computer Science.- What I Found in My Research on Ethical Decision-Making among Computer Science Majors.- The Role of Stories in Ethical Decision-Making.- The Importance and Potential of Ethics of Care in Computing Ethics Education.- Fallacies and Biases that Affect Ethical Decision-Making.- From Knowledge to Action: Where to Go from Here.
About the author
Amir Hedayati, Ph.D., is Associate Professor of Organization, Information & Learning Sciences at the University of New Mexico. His research focuses on ethical decision-making among professionals, workplace inequalities, and ways to foster environments that promote moral and inclusive practices. Hedayati received his Ph.D. in Human Resource Development from the University of Illinois at Urbana-Champaign. He holds a B.Sc. in Computer Engineering and a Master of Business Administration.
Hedayati 's work has been recognized by various conferences, including the Ethics Division of the American Society for Engineering Education (ASEE), the Distance Learning Division of the Association for Educational Communications and Technology (AECT), and the Academy of Human Resource Development. In addition to his research and teaching, Hedayati has served as an evaluator for several higher education programs.
Summary
With the growing use of AI and the introduction of large language models, such as ChatGPT, conversations about ethics have become commonplace. For many, this is the first time they have meaningfully considered the ethical and unethical use of technology in various settings, including education and the workplace.
This book reviews the history, nature, and complexity of computer ethics. It discusses the importance of computing ethics education, the process of ethical decision-making among computer science students, as well as misconceptions and biases that impact ethical decision-making.
