Page 74 - AI Governance Day - From Principles to Implementation

AI Governance Day - From Principles to Implementation

Figure 45: Rumman Chowdhury, CEO of Humane Intelligence and USA Science Envoy
for Artificial Intelligence

Rumman Chowdhury on identifying risks systematically

Ms. Rumman Chowdhury, a data scientist and ethicist, provided insights into how organizations
can systematically identify and manage risks associated with AI. She stressed the importance
of evidence-based approaches and the use of established risk management frameworks.

"Think through the applications use cases and ensure that what you're doing is
evidence-based. We now have a plethora of different risk management frameworks
in the US." (Rumman Chowdhury)

She pointed to frameworks like the NIST Risk Management Framework (RMF) and UNESCO's
guidelines as valuable tools for assessing societal impacts.

Ms. Rumman Chowdhury also highlighted the need for a comprehensive view of AI systems,
considering not just the models but also the broader socio-technical context.

"When we think about identifying risks but also thinking through safeguards, don't
just think about the AI models [...] to think about it. Some of the protections you are
making are institutional and regulatory." (Rumman Chowdhury)

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