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The AI Dilemma

7 Principles for Responsible Technology

ebook
1 of 1 copy available
1 of 1 copy available
The misuse of AI has led to wrongful arrests, denial of medical care, even genocide-this book offers 7 powerful principles that business can use now to end the harm.
AI holds incredible promise to improve virtually every aspect of our lives, but we can't ignore its risks, mishaps and misuses. Juliette Powell and Art Kleiner offer seven principles for ensuring that machine learning supports human flourishing. They draw on Powell's research at Columbia University and use a wealth of real-world examples.

Four principles relate to AI systems themselves. Human risk must be rigorously determined and consciously included in any design process. AI systems must be understandable and transparent to any observer, not just the engineers working on them. People must be allowed to protect and manage their personal data. The biases embedded in AI must be confronted and reduced.

The final three principles pertain to the organizations that create AI systems. There must be procedures in place to hold them accountable for negative consequences. Organizations need to be loosely structured so that problems in one area can be isolated and resolved before they spread and sabotage the whole system. Finally, there must be psychological safety and creative friction, so that anyone involved in software development can bring problems to light without fear of reprisal.

Powell and Kleiner explore how to implement each principle, citing current best practices, promising new developments, and sobering cautionary tales. Incorporating the perspectives of engineers, businesspeople, government officials, and social activists, this book will help us realize the unprecedented benefits and opportunities AI systems can provide.
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    • Kirkus

      September 15, 2023
      Powell and Kleiner reflect on the moral dilemmas posed by the rise of artificial intelligence in this nonfiction work. The authors (of AI advisory firm Kleiner Powell International) observe that the recent proliferation of popular apps driven by artificial intelligence (AI), like ChatGPT, have provoked urgent debate about the moral ramifications of new AI technology. They assert that these issues will only become more important and complex as more people take up residence in a "data-centric world," and that they require systematic frameworks to understand and resolve them. Powell and Kleiner focus on what they call "Triple-A" systems, which are "algorithmic, autonomous, and automated," and, as "sociotechnical" systems, "depend just as much on human and social elements as on the technology." To understand these systems, the authors convincingly argue for the integration of four very different and often conflicting perspectives: that of the engineer, who tends to focus on customer satisfaction and solutions to highly technical problems; that of the social justice activist, concerned with morally satisfying all stakeholders, especially the disenfranchised; that of the corporate leader, narrowly interested in the accumulation of profit; and that of the governmental leader, driven by the satisfaction of national interests (as well as partisan political gain). Powell and Kleiner take the reader on an edifying tour of seven key principles, including risk, transparency, and the protection of personal data rights. They combine scientific rigor with philosophic depth to probe the issue at the heart of the AI debate: the human impact of a technology increasingly liberated from human superintendence. "The core of the AI dilemma is not the ability of machines to learn. It is the ability of humans to learn to manage the growing abilities of these new systems. To gain real control, instead of illusory control, we need to raise our own awareness and ability first." For the reader in search of a single-volume introduction to these vexing issues, one could do no better. A fascinating and meticulous consideration of one of the central issues of our time.

      COPYRIGHT(2023) Kirkus Reviews, ALL RIGHTS RESERVED.

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  • English

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