ABSTRACT

This foundational text examines the intersection of AI, psychology, and ethics, laying the groundwork for the importance of ethical considerations in the design and implementation of technologically supported education, decision support, and leadership training.

AI already affects our lives profoundly, in ways both mundane and sensational, obvious and opaque. Much academic and industrial effort has considered the implications of this AI revolution from technical and economic perspectives, but the more personal, humanistic impact of these changes has often been relegated to anecdotal evidence in service to a broader frame of reference. Offering a unique perspective on the emerging social relationships between people and AI agents and systems, Hampton and DeFalco present cutting-edge research from leading academics, professionals, and policy standards advocates on the psychological impact of the AI revolution. Structured into three parts, the book explores the history of data science, technology in education, and combatting machine learning bias, as well as future directions for the emerging field, bringing the research into the active consideration of those in positions of authority.

Exploring how AI can support expert, creative, and ethical decision making in both people and virtual human agents, this is essential reading for students, researchers, and professionals in AI, psychology, ethics, engineering education, and leadership, particularly military leadership.

chapter |5 pages

Once More, with Feeling

Approaching a Novel Field of Technological Inquiry with the Hard-Earned Lessons of the Humanities

part 1|54 pages

Surveying the AI Landscape

chapter Chapter 1|25 pages

AI and the Crisis of the Self

Protecting Human Dignity as Status and Respectful Treatment

chapter Chapter 2|11 pages

Flipping Rocks and Pointing out the Bugs

Invisible Threats and Data

chapter Chapter 3|16 pages

Seeing the Forest and the Trees

AI Bias, Political Relativity, and the Language of International Relations

part 2|61 pages

AI in the Classroom

chapter Chapter 4|21 pages

Truth in Our Ideas Means the Power to Work

Implications of the Intermediary of Information Technology in the Classroom

chapter Chapter 6|20 pages

The Only Living Boy in Homeroom

How Virtual Classes and Agents Fundamentally Change the Learning Experience

part 3|80 pages

Decisions, Decisions

chapter Chapter 8|21 pages

Ethical Frameworks for Cybersecurity

Applications for Human and Artificial Agents

chapter Chapter 9|23 pages

Deep Blue Wants You

Identifying and Addressing Sources of Bias in AI Systems to Support Human Resources Decisions

chapter Chapter 10|18 pages

On the Shoulders of Giants

How the Social Sciences Can Help AI Navigate Its Ethical Dilemmas