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Responsible AI Practices in Real-World Use by aravindh.rengaraj is a document available to read on EtoBox.

What is Responsible AI Practices in Real-World Use about?

This systematic literature review analyzes 45 empirical studies to identify suggested Responsible AI (RAI) practices in real-world applications, highlighting eleven key areas such as harm prevention, accountability, and fairness. The findings reveal a concerning gap between RAI principles and their practical implementation, particularly in high-risk settings where AI-enabled systems are deployed. The review emphasizes the importance of stakeholder involvement in shaping RAI practices and calls for more comp

Author

aravindh.rengaraj

Language

EN