Guardrails: Guiding Human Decisions in the Age of AI

by Urs Gasser, Viktor Mayer-Schönberger Narrated by Anand Jagatia

Overview

How society can shape individual actions in times of uncertainty

When we make decisions, our thinking is informed by societal norms, “guardrails” guiding our decisions, like the laws and rules that govern us. But what are good guardrails in today's world of overwhelming information flows and increasingly powerful technologies, such as artificial intelligence? Based on the latest insights from the cognitive sciences, economics, and public policy, Guardrails offers a novel approach to shaping decisions by embracing human agency in its social context.

In this visionary book, Urs Gasser and Viktor Mayer-Schönberger show how the quick embrace of technological solutions can lead to results we don't always want and explain how society itself can provide guardrails more suited to the digital age, ones that empower individual choice while accounting for the social good, encourage flexibility in the face of changing circumstances, and ultimately help us to make better decisions as we tackle the most daunting problems of our times, such as global injustice and climate change.

Whether we change jobs, buy a house, or quit smoking, thousands of decisions large and small shape our daily lives. Decisions drive our economies, seal the fate of democracies, create war or peace, and affect the well-being of our planet. Guardrails challenges the notion that technology should step in where our own decision making fails, laying out a surprisingly human-centered set of principles that can create new spaces for better decisions and a more equitable and prosperous society.

Editorial Reviews

From the Publisher

"An impressively detailed and useful book that is also short, fascinating, and readable. . . . I have never before encountered so much clarity about the full context of governance and how all its components relate to AI."—-Joanna Bryson, Science

Kirkus Reviews

2023-09-22
Two academic specialists look down the road at the evolution of AI and how to control it.

Discussions about how to regulate digital technology are inevitably heated and labyrinthine, with the participants often failing to agree on even the most basic of precepts. Anyone approaching this book with the expectation that Gasser, a professor in technology and social sciences at the Technical University of Munich, and Mayer-Schönberger, a professor of internet governance and regulation at Oxford, will lay out a one-size-fits-all model of regulation will be disappointed. Instead, the authors focus on establishing a conceptual framework that sets clear boundaries while still allowing for innovation and the capacity to change with dynamic circumstances. They use guardrails as an extended metaphor, looking at a wide array of cases, including the European Union’s attempts at tech regulation and the rules governing contributions to Wikipedia. Most attempts to date have shortcomings, but they provide lessons on how to balance competing concerns. Neither tech specialists nor ethicists can understand all the issues, and the proposals put forward by Gasser and Mayer-Schönberger involve collaboration and a willingness to compromise. The authors are wary of the “black boxes” in which AI systems operate, and they believe that handing decision-making power to machines is a dangerous path. An example of unintended consequences is the case where an algorithm rejected mortgage applications because they were made by Black applicants. The designers of algorithms must be able to explain exactly what is happening in an AI “box,” and algorithms need to be constructed to take into account social concerns, with ample provision for human oversight. Gasser and Mayer-Schönberger have interesting things to say about the topic, but the book is a dense, complex read, written with an academic audience in mind.

A scholarly framework for regulating AI technology, with an eye toward enhancing choice while promoting the social good.

Product Details

BN ID:	2940191526140
Publisher:	Princeton University Press
Publication date:	03/05/2024
Edition description:	Unabridged

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