Fairness in AI: Navigating Complex Ethical AI Dilemmas with Beena Ammanath - podcast episode cover

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

Dec 21, 20235 min
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Episode description

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.

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