Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Horizons of Artificial Intelligence, Part 4: Ethical, Social, and Legal Implications

Horizons of Artificial Intelligence, Part 4: Ethical, Social, and Legal Implications

Rojas Moncada, Rafael Enrique

Paperback

Series: Horizons of Artificial Intelligence, Building the Future, Redefining Humanity, Its History and Pa, Book 4

General Computers

ISBN13: 9798312331684
Publisher: Independently Published
Published: Mar 3 2025
Pages: 64
Weight: 0.22
Height: 0.13 Width: 6.00 Depth: 9.00
Language: English

Artificial Intelligence (AI) represents one of the most transformative forces of our time, holding the potential to revolutionize every aspect of society, from healthcare to finance, education to entertainment. Yet, with such power comes an immense responsibility-one that is not only technological but also deeply ethical, social, and legal. In a world that is increasingly driven by digital advancements, AI raises critical dilemmas about how we balance its remarkable benefits with the preservation of fundamental human rights and values.This volume takes a comprehensive and insightful approach to examining the ethical, social, and legal challenges posed by AI. It explores key issues like algorithmic bias, job automation, and the use of facial recognition, offering a deep reflection on their potential impact on society. The author, Rafael Rojas M, delves into these topics with both passion and intellectual rigor, urging readers to confront the complexities of how we, as a society, engage with rapidly advancing technologies. One of the primary areas of concern in the book is algorithmic bias, a challenge that is often overlooked despite its profound implications. AI systems, although designed to be objective, are only as unbiased as the data they are trained on. This can lead to the reinforcement of societal inequalities and discrimination, especially in sensitive areas like hiring, law enforcement, and lending practices. As these technologies are deployed in more facets of our lives, the potential for perpetuating existing biases becomes an urgent issue, demanding greater attention and more robust ethical frameworks.

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