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In enterprise AI systems, alignment ensures that models operate within predefined constraints. These constraints ensure that models generate results that are not only accurate but also actionable and aligned with business objectives. Proper alignment can help mitigate risks associated with bias and incorrect outcomes.
All articles on Alignment
Government keynote presentation by FBI CTO Gregory Ihrie
Gregory Ihrie is the Chief Technology Officer for the FBI, responsible for technology, innovation, and strategy. He also leads the FBI’s efforts in advancing the bureau’s management, policy, and governance of AI systems. Ihrie chairs the FBI’s Scientific Working Group on Artificial Intelligence, as well as the Department of Justice’s AI Committee of Interest. He is one of three officers
June 4, 2022
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Panel discussion: Academic and industry perspectives on ethical AI
This post showcases a panel discussion on the academic and industry perspectives of ethical AI, which was moderated by Director of Federal Strategy and Growth, Alexis Zumwalt, Fouts Family Early Career Professor and Lead of Ethical AI (NSF AI Institute AI4OPT), Georgia Institute of Technology, Swati Gupta, Chief Data Officer, Department of the Navy, Thomas Sasalsa, Senior Manager of Responsible
May 24, 2022
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Bill of materials for responsible AI: collaborative labeling
In our previous posts, we discussed how explainable AI is crucial to ensure the transparency and auditability of your AI deployments and how trustworthy AI adoption and its successful integration into our country’s critical infrastructure and systems are paramount. In this post, we dive into making trustworthy and responsible AI possible with Snorkel Flow, the data-centric AI platform for government and federal agencies. Collaborative labeling and
April 28, 2022
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