Itinai.com a professional business consultation in a modern o a6009421 9ec9 4b65 8059 971a49a915c0 3
Itinai.com a professional business consultation in a modern o a6009421 9ec9 4b65 8059 971a49a915c0 3

This NIST Trustworthy and Responsible AI Report Develops a Taxonomy of Concepts and Defines Terminology in the Field of Adversarial Machine Learning (AML)

AI systems are rapidly advancing in two categories: Predictive AI and Generative AI, demonstrated by Large Language Models. The NIST AI Risk Management Framework emphasizes the need for secure and reliable AI operations. A study by NIST Trustworthy and Responsible AI outlines a comprehensive taxonomy and strategies for controlling Adversarial Machine Learning (AML) attacks. Read more at MarkTechPost.

 This NIST Trustworthy and Responsible AI Report Develops a Taxonomy of Concepts and Defines Terminology in the Field of Adversarial Machine Learning (AML)

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Artificial Intelligence (AI) Systems: Practical Solutions and Value

Categories of AI Systems

AI systems are divided into Predictive AI and Generative AI. Large Language Models (LLMs) are examples of generative AI, creating original content, while predictive AI focuses on making predictions using data.

Operational Characteristics

Safe, reliable, and resilient operations are crucial for trustworthy AI. The NIST AI Risk Management Framework and AI Trustworthiness taxonomy highlight the necessary operational characteristics for trustworthy AI.

Adversarial Machine Learning (AML)

A team of researchers from NIST has advanced the field of AML by creating a thorough taxonomy of terms and providing definitions. The taxonomy covers Machine Learning techniques, attack lifecycle phases, attacker objectives, and strategies for controlling AML attacks.

Research Contributions

The research offers a common vocabulary for discussing AML, a comprehensive taxonomy of AML attacks, and strategies for mitigating AML attacks. It also provides a critical analysis of current mitigation strategies.

Practical AI Solutions

Identify automation opportunities, define KPIs, select AI solutions, and implement gradually. For AI KPI management advice and continuous insights into leveraging AI, connect with us at hello@itinai.com or stay tuned on our Telegram channel or Twitter.

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