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⚖️ AI Ethics and Governance Analysis

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Manage episode 495138935 series 3485568
Content provided by Rick Spair. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rick Spair or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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A comprehensive analysis of Artificial Intelligence (AI) ethics and governance, highlighting the urgent need for legally binding frameworks to manage AI's societal integration. It details the evolution of AI's ethical challenges, from philosophical inquiries to tangible harms like algorithmic bias in critical sectors such as hiring and criminal justice. A significant portion is dedicated to the EU AI Act, exploring its human-centric, risk-based architecture and stringent obligations for high-risk systems, including its approach to the "black box" problem and General-Purpose AI (GPAI). The text then offers a comparative analysis of global AI regulatory approaches, contrasting the EU's preventative model with the United States' market-driven, reactive stance and China's state-centric control framework. Finally, it addresses future challenges posed by generative AI and offers strategic recommendations for policymakers, corporate leaders, and developers to ensure trustworthy AI.

  continue reading

194 episodes

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iconShare
 
Manage episode 495138935 series 3485568
Content provided by Rick Spair. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rick Spair or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Send us a text

A comprehensive analysis of Artificial Intelligence (AI) ethics and governance, highlighting the urgent need for legally binding frameworks to manage AI's societal integration. It details the evolution of AI's ethical challenges, from philosophical inquiries to tangible harms like algorithmic bias in critical sectors such as hiring and criminal justice. A significant portion is dedicated to the EU AI Act, exploring its human-centric, risk-based architecture and stringent obligations for high-risk systems, including its approach to the "black box" problem and General-Purpose AI (GPAI). The text then offers a comparative analysis of global AI regulatory approaches, contrasting the EU's preventative model with the United States' market-driven, reactive stance and China's state-centric control framework. Finally, it addresses future challenges posed by generative AI and offers strategic recommendations for policymakers, corporate leaders, and developers to ensure trustworthy AI.

  continue reading

194 episodes

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