ISACA Monthly Networking Forum - HYBRID - NIST AI Risk Management Framework

Talk Description:

The NIST AI Risk Management Framework equips organisations with approaches that increase the trustworthiness of AI systems, and to help foster the responsible design, development, deployment and use of AI systems over time. We will focus on the 4 Core functions: govern, map, measure, and manage as well as the AI RMF Playbook.

We will finish by taking a look at where we are within the longer term scope of AI development. This will include an example of several newer AI model architectures that intrinsically provide explainability and interpretability solving the LLM hallucination problem.

Short Bio:

Allan has been studying AI for over 30 years, with a focus on the underlying mathematical concepts, and their embodiment in computing architectures and languages. Allan is an entrepreneur who has created a complete algorithmic trading platform that included development of a new programming language for technical analysis. Currently working as a technology auditor by day, Allan is coding newer non LLM AI's by night.