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{ "item_title" : "Artificial Intelligence and Ethical Challenges", "item_author" : [" Koffivi Lolo "], "item_description" : "The dissertation Artificial Intelligence (AI) and Ethical Challenges: Principles and Mechanisms for Responsible Development analyzes the ethical issues associated with the rise of AI and proposes a framework to ensure its development is respectful of human values. It highlights several major risks: algorithmic biases that can lead to discrimination; the opacity of systems, which limits understanding of automated decisions; potential privacy violations linked to the massive use of data; and difficulties in assigning responsibility in the event of errors or harm. To address these challenges, the thesis draws on five fundamental principles: respect for human dignity, justice and fairness, beneficence, non-maleficence, and accountability. It recommends the implementation of governance mechanisms such as algorithmic audits, ethical impact assessments, model transparency, and human oversight. The study concludes that a robust ethical and regulatory framework is essential to ensure that AI remains dedicated to the common good and the respect for fundamental rights.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/6/63/022/772/6630227727_b.jpg", "price_data" : { "retail_price" : "56.00", "online_price" : "56.00", "our_price" : "56.00", "club_price" : "56.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Artificial Intelligence and Ethical Challenges|Koffivi Lolo

Artificial Intelligence and Ethical Challenges

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Overview

The dissertation "Artificial Intelligence (AI) and Ethical Challenges: Principles and Mechanisms for Responsible Development" analyzes the ethical issues associated with the rise of AI and proposes a framework to ensure its development is respectful of human values. It highlights several major risks: algorithmic biases that can lead to discrimination; the opacity of systems, which limits understanding of automated decisions; potential privacy violations linked to the massive use of data; and difficulties in assigning responsibility in the event of errors or harm. To address these challenges, the thesis draws on five fundamental principles: respect for human dignity, justice and fairness, beneficence, non-maleficence, and accountability. It recommends the implementation of governance mechanisms such as algorithmic audits, ethical impact assessments, model transparency, and human oversight. The study concludes that a robust ethical and regulatory framework is essential to ensure that AI remains dedicated to the common good and the respect for fundamental rights.

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Details

  • ISBN-13: 9786630227727
  • ISBN-10: 6630227727
  • Publisher: Our Knowledge Publishing
  • Publish Date: July 2026
  • Dimensions: 9 x 6 x 0.17 inches
  • Shipping Weight: 0.24 pounds
  • Page Count: 72

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