Listen "#29 - Responsible AI: Principles, Implementation, and Challenges"
Episode Synopsis
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The podcast advocates for responsible AI, defining it as the ethical, transparent, and accountable design, development, and deployment of AI systems.
It highlights the importance of responsible AI in mitigating risks, building trust, and ensuring compliance, while acknowledging the challenges in implementation, such as bias detection and resource limitations.
The podcast also outlines drivers like regulations and public awareness, and offers recommendations for organisations, including establishing ethical principles and investing in appropriate tools.
Finally, it mentions key vendors supporting responsible AI initiatives.
The podcast advocates for responsible AI, defining it as the ethical, transparent, and accountable design, development, and deployment of AI systems.
It highlights the importance of responsible AI in mitigating risks, building trust, and ensuring compliance, while acknowledging the challenges in implementation, such as bias detection and resource limitations.
The podcast also outlines drivers like regulations and public awareness, and offers recommendations for organisations, including establishing ethical principles and investing in appropriate tools.
Finally, it mentions key vendors supporting responsible AI initiatives.
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