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Books matching: ethical considerations in ai

3 result(s)

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Showing 1 - 3 of 3 
  1. 'Human Compatible: Artificial Intelligence and the Problem of Control' by Stuart Russell delves into the complex topic of artificial intelligence and its potential impact on humanity. It explores the risks posed by AI to the human race and proposes a shift in our approach to AI to prevent these problems from occurring. is divided into three parts, focusing on the concept and definition of intelligence in humans and machines, the control of machines with superhuman intelligence, and a proposal for a new way to approach AI.


  2. #2

    The Lifecycle of Software Objects by Ted Chiang
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    'The Lifecycle of Software Objects' by Ted Chiang explores the ethical and legal repercussions of developing technological pets that become more sentient over time. The novella delves into themes of humanity, consent, intelligence, and the evolving relationship between humans and artificial intelligence. Chiang's writing style is thought-provoking and bittersweet, creating a narrative that challenges readers to contemplate what it means to be human in a world where AI can exhibit child-like learning and intellectual capacities.

    HER NAME IS ANA ALVARADO, and she’s having a bad day. She spent all week preparing for a job interview, the first one in months to reach the videoconference stage, but the recruiter’s face barely appe...

  3. #3

    You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place by Janelle Shane
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    'You Look Like a Thing and I Love You' by Janelle Shane is a humorous and insightful introduction to artificial intelligence. The book explains how AI works and why it's making the world a weirder place through examples and analogies that are both entertaining and informative. Shane's writing style is approachable and engaging, making complex topics accessible to readers, even those new to the field of AI. The book covers the inner workings of different AIs, their peculiar behaviors, and the potential pitfalls and limitations of the technology.

    Shane's book is filled with humorous examples of AI mishaps and failures, illustrating the capabilities and shortcomings of machine learning systems. The content is presented in a fun and engaging manner, with running jokes that help connect different themes throughout the book. Readers will find the book to be a quick and enjoyable read, suitable for both those with little knowledge of AI and those familiar with the subject. Shane's mission to make AI more accessible shines through in the book's clear explanations and relatable insights into the world of artificial intelligence.

    To spot an AI in the wild, it’s important to know the difference between machine learning algorithms (what we’re calling AI in this book) and traditional (what programmers call rules-based) programs. ...

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