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Full Description
We're handing more and more of our lives over to AI, but do we really understand how those decisions are being made? Setting the right parameters isn't just technical detail but it's about knowing how truth, trust, and bias shape outcomes, along with understanding the impact of socioeconomic constraints.
The Psychology of AI Decision Making draws on empirical psychology experimentation, philosophy, and real-world examples to show how echo chambers, cognitive biases, and sociotech are already reshaping ethics in ways we barely notice. Before we teach machines to make decisions for us, we need to understand how we make them ourselves. If we don't, the future won't be built, it will be inherited.
This book tackles decision-making from the ground up and cuts through the noise, exploring how decision-making works, comparing human thinking to machine algorithmic calculation. To move forward, this must be understood at every level from school children, to CEOs, to governments.
Contents
Chapter 1: Truth and Order
Chapter 2: Context
Chapter 3: Why Do We Need Decisions?
Chapter 4: Behavioural Concepts
Chapter 5: Cultural and Social Differences
Chapter 6: Bias
Chapter 7: Psychological Experimentation Old and New
Chapter 8: Validating Moral Decision Making in AI
Chapter 9: Creating an Ethical Framework
Chapter 10: Current Governance
Chapter 11: Moral Decision Making in AI - the Future
