Reva Schwartz
Washington, District of Columbia, United States
2K followers
500+ connections
About
Reva Schwartz is a research scientist in the Information Technology Laboratory (ITL) at…
Activity
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"Meaningful work can swallow our identities whole and lead to overwork, damage to relationships, exploitation, and an eroded sense of self…
"Meaningful work can swallow our identities whole and lead to overwork, damage to relationships, exploitation, and an eroded sense of self…
Liked by Reva Schwartz
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Always great to have Workday Chief Legal Officer & Head of Corporate Affairs Rich Sauer in Washington to spend some time with the terrific leaders at…
Always great to have Workday Chief Legal Officer & Head of Corporate Affairs Rich Sauer in Washington to spend some time with the terrific leaders at…
Liked by Reva Schwartz
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It was great to spend some time with Patrick and talk about what's happening in my world and some perspectives on how we can all be engaged in…
It was great to spend some time with Patrick and talk about what's happening in my world and some perspectives on how we can all be engaged in…
Liked by Reva Schwartz
Experience
Education
Publications
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Towards a Standard for Identifying and Managing Bias in Artificial Intelligence
NIST
As individuals and communities interact in and with an environment that is increasingly virtual, they are often vulnerable to the commodification of their digital footprint. Concepts and behavior that are ambiguous in nature are captured in this environment, quantified, and used to categorize, sort, recommend, or make decisions about people’s lives. While many organizations seek to utilize this information in a responsible manner, biases remain endemic across technology processes and can lead…
As individuals and communities interact in and with an environment that is increasingly virtual, they are often vulnerable to the commodification of their digital footprint. Concepts and behavior that are ambiguous in nature are captured in this environment, quantified, and used to categorize, sort, recommend, or make decisions about people’s lives. While many organizations seek to utilize this information in a responsible manner, biases remain endemic across technology processes and can lead to harmful impacts regardless of intent. These harmful outcomes, even if inadvertent, create significant challenges for cultivating public trust in artificial intelligence (AI).
Other authors -
More activity by Reva
Spending my lunch break as a panelist during the Ontology Summit today was quite enjoyable. I appreciate the discussion around hybrid neuro-symbolic…
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Very excited to touch down and land home at #CHI2024. Between meeting friends across the world, I will have an opportunity to also engage in…
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I’m so glad this is public! Dr. Sasha Luccioni is THE climate AI scientist to work with if you’re serious about the impacts of AI models on the…
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This Apple ad shows _exactly_ the problem with BigTech. Computing technology, that could otherwise have a tremendous potential for being truly…
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Microsoft Research is bullish on the concept of knowledge graph and is rightfully so. Microsoft's GraphRAG to unlock better LLM retrieval was a…
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🏠 June marks Homeownership Month, a time to celebrate the cornerstone of the American dream. Join us on June 12th for a special webinar exploring…
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NIST AI 100-5 Draft for Public Comment A Plan for Global Engagement on AI Standards April 2024 "Comments are especially requested on: 1…
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At Dynamo AI, we work hard to address the most pressing open challenges blocking enterprises from productionizing Generative AI. 🛑 The lack of…
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Looking forward to this - it's always fun to get a chance to hangout with my colleague Martin Stanley, CISSP
Shared by Reva Schwartz
You can see the cracks in the large #GenAI strategy with this conclusion: "... Across both the classification and generation experiments, we have…
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