Page 74 - AI Governance Day - From Principles to Implementation
P. 74

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)












                  64
   69   70   71   72   73   74   75   76   77   78   79