The Psychology of AI Decision Making (eBook, ePUB)
Unpacking the ethics, biases, and responsibilities of AI
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With more and more in our lives being handled by AI, but do we really understand how 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 uses research from psychology experimentation, philosophy, and real-world examples to show how echo chambers, cognitive biases, and sociotechnical systems are already reshaping ethics in ways we barely notice. Before we teach machines to make decisions for us, we...
With more and more in our lives being handled by AI, but do we really understand how 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 uses research from psychology experimentation, philosophy, and real-world examples to show how echo chambers, cognitive biases, and sociotechnical systems 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.
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 early career to CEOs and across industry and governments alike.
The Psychology of AI Decision Making uses research from psychology experimentation, philosophy, and real-world examples to show how echo chambers, cognitive biases, and sociotechnical systems 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.
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 early career to CEOs and across industry and governments alike.
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