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Risky AI Practices - A Research Paper by ga1985 is a document available to read on EtoBox.

This research paper identifies risky AI practices that can lead to legal, security, ethical, or societal harm, emphasizing the importance of governance and accountability in AI deployment. It categorizes these risks into several areas, including premature deployment, manipulation, excessive automation, and poor data management, while highlighting the need for comprehensive frameworks like those from NIST and the EU AI Act. The paper concludes with recommendations for organizations to adopt risk-tiering proc

Author
ga1985
Language
EN