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Regulating Artificial Intelligence
Examines the complex challenges of regulating artificial intelligence within modern society. The text highlights how AI’s increasing complexity and opacity—often called the "black box" phenomenon—threaten established legal principles like transparency, accountability, and non-discrimination. While the authors acknowledge the immense innovation potential of machine learning, they argue for a "state enabling responsibility" to protect fundamental rights through both traditional laws and technical design. The sources explore diverse applications, ranging from healthcare and financial markets to law enforcement and social media, emphasizing that regulation must be context-specific. Ultimately, the editors advocate for a multidisciplinary approach that integrates ethical standards with robust transnational legal frameworks to ensure AI remains a beneficial tool for humanity.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Regulating-Artificial-Intelligence-Thomas-Wischmeyer-ebook/dp/B0825PKHDQ?&linkCode=ll2&tag=cvthunderx-20&linkId=382b8936c8dd4aae098a896362830832&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Regulating-Artificial-Intelligence-Thomas-Wischmeyer-ebook/dp/B0825PKHDQ?&linkCode=ll2&tag=cvthunderx-20&linkId=382b8936c8dd4aae098a896362830832&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
View all episodes
By CyberSecurity Summary
2.2
55 ratings
Examines the complex challenges of regulating artificial intelligence within modern society. The text highlights how AI’s increasing complexity and opacity—often called the "black box" phenomenon—threaten established legal principles like transparency, accountability, and non-discrimination. While the authors acknowledge the immense innovation potential of machine learning, they argue for a "state enabling responsibility" to protect fundamental rights through both traditional laws and technical design. The sources explore diverse applications, ranging from healthcare and financial markets to law enforcement and social media, emphasizing that regulation must be context-specific. Ultimately, the editors advocate for a multidisciplinary approach that integrates ethical standards with robust transnational legal frameworks to ensure AI remains a beneficial tool for humanity.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Regulating-Artificial-Intelligence-Thomas-Wischmeyer-ebook/dp/B0825PKHDQ?&linkCode=ll2&tag=cvthunderx-20&linkId=382b8936c8dd4aae098a896362830832&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Regulating-Artificial-Intelligence-Thomas-Wischmeyer-ebook/dp/B0825PKHDQ?&linkCode=ll2&tag=cvthunderx-20&linkId=382b8936c8dd4aae098a896362830832&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
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