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Fairness in AI: Navigating Complex Ethical AI Dilemmas with Beena Ammanath

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Manage episode 390780081 series 3474148
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon 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://ro.player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/fairness-in-ai-navigating-complex-ethical-ai-dilemmas-with-beena-ammanath.
Trustworthy AI aims to provide a holistic framework to identify Important questions to ask when developing or using AI
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #ai-ethics, #responsible-ai, #stakeholder-framework, #longview, #fairness-in-ai, #trustworthy-ai, #ethical-ai, and more.
This story was written by: @linked_do. Learn more about this writer by checking @linked_do's about page, and for more stories, please visit hackernoon.com.
Trustworthy AI aims to provide a holistic framework to identify Important questions to ask when developing or using AI. Trustworthy AI should be fair and impartial, robust and reliable, transparent, explainable, secure, safe, accountable, responsible and with privacy.

  continue reading

476 episoade

Artwork
iconDistribuie
 
Manage episode 390780081 series 3474148
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon 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://ro.player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/fairness-in-ai-navigating-complex-ethical-ai-dilemmas-with-beena-ammanath.
Trustworthy AI aims to provide a holistic framework to identify Important questions to ask when developing or using AI
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #ai-ethics, #responsible-ai, #stakeholder-framework, #longview, #fairness-in-ai, #trustworthy-ai, #ethical-ai, and more.
This story was written by: @linked_do. Learn more about this writer by checking @linked_do's about page, and for more stories, please visit hackernoon.com.
Trustworthy AI aims to provide a holistic framework to identify Important questions to ask when developing or using AI. Trustworthy AI should be fair and impartial, robust and reliable, transparent, explainable, secure, safe, accountable, responsible and with privacy.

  continue reading

476 episoade

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