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X-WR-CALDESC:Events for The National Consortium for Data Science
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SUMMARY:DataBytes: The AI Security Gap: How Close Are We to Achieving Trustworthy AI?
DESCRIPTION:Key Findings from the NIST AI 100-2 Report\nIn this webinar\, Apostol Vassilev will examine the recently published 2025 edition of the NIST Al 100-2 report\, a crucial resource for organizations seeking to ensure the security of Al systems. The talk will focus on the security of generative Al models\, tailored to address the needs of Al practitioners and stakeholders in the audience. The report provides a comprehensive taxonomy of concepts and terminology in the field of adversarial machine learning (AML)\, organizing key Al technologies\, attack life cycle stages\, and attacker goals\, objectives\, capabilities\, and knowledge into a conceptual hierarchy. By identifying current security challenges in the Al system life cycle and describing methods for mitigation and management\, the report aims to establish a common language for the rapidly evolving AML landscape. This webinar will provide attendees with a deeper understanding of the development and deployment of more trustworthy and responsible Al systems.\nRegister Here
URL:https://datascienceconsortium.org/event/databytes-june-2025/
LOCATION:via Zoom
CATEGORIES:Professional Development,Upskilling
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