This week on Feds-At-The Edge we explore AI used as a strategic tool, focused on risk mitigation, applications, and continuous user feedback. 

>> Risk Mitigation: Risks vary by application. Luke Keller, Chief Innovation Officer at US Census bureau, highlighted using NIST guidelines, including bias reduction frameworks, to ensure ethical and accurate AI deployment. High-quality, diverse datasets are essential.  

>> Use Cases: Start small with proofs of concept to test limitations and risks. Ryan Simpson, Engineering Chief Technologist for the Public Sector for NVIDIA, recommended tools like Retrieval-Augmented Generation to develop use cases which work with limited data and are easy to evaluate. Early wins can allay some fears and can build confidence.  

>> User Feedback: Gathering user input during small test cases is crucial for refining and finding practical applications of AI in federal settings.  

Tune in on your favorite podcasting platform as we explore strategic, iterative approaches that foster safe and effective AI implementation. 

 

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