The widepread deployment of AI systems in critical domains demands more rigorous approaches to evaluating their capabilities and safety.
The widepread deployment of AI systems in critical domains demands more rigorous approaches to evaluating their capabilities and safety.
2025 Spring Conference
In an era when information is treated as a form of power and self-knowledge an unqualified good, the value of what remains unknown is often overlooked.
In an era when information is treated as a form of power and self-knowledge an unqualified good, the value of what remains unknown is often overlooked.
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This Symposium hosted by the U.S. Department of Commerce and National Institute of Standards and Technology, Stanford Institute for Human-Centered Artificial Intelligence (HAI), and the FinRegLab, will bring together leaders from government, industry, civil society, and academia to explore potential opportunities and challenges posed by artificial intelligence and machine learning deployment across different economic sectors, with a particular focus on financial services and healthcare.
The event is designed to address how these technologies relate to ensuring inclusive economic growth, supporting financial inclusion, and mitigating risks such as bias and unfairness. It will feature presenters and panelists on the cutting edge of researching fairness and explainability in AI, as well as those working to develop policies and frameworks to evaluate and assess the goals of improving the trustworthiness, inclusiveness, and equity of AI deployment.
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