Explainable AI
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Quantifying images’ “conceptual similarity”
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What makes two images similar? The question is of vital importance for the training of computer vision systems, but it’s notoriously difficult to answer. ...

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Nine videos about explainable AI in industry
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For the first time in its 26-year history, The Web Conference was held online in 2020, with content streaming interactively over both Zoom and Amazon Chime ...

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How Clarify helps machine learning developers detect unintended bias
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In his machine learning keynote at re:Invent on Tuesday, Swami Sivasubramanian, vice president of machine learning, Amazon Web Services (AWS), announced ...

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Improving explainable AI’s explanations
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Explainability is an important research topic in AI today. If we’re going to trust deep-learning systems to make decisions for us, we often want to know why ...

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U.S. National Science Foundation, Amazon seek submissions for third round of Fairness in AI grant projects
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Creating fairness in artificial intelligence (AI) is a key goal in designing AI systems capable of addressing big challenges in the world. To help achieve ...

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Amazon at ICML: Industry and academia meet at Expo Day
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At this year’s International Conference on Machine Learning (ICML), Alice Zheng, a senior manager of applied science in Amazon’s display advertising ...

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Finding — and preventing — vulnerabilities in machine learning models
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How does your brain know that a stop sign is a stop sign? Computer vision architects attempt to answer this question for many objects, from birds in the ...

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ACL: What comes next for natural-language processing?
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Kathleen McKeown, the Henry and Gertrude Rothschild Professor of Computer Science at Columbia University and an Amazon Scholar, has a storied history with ...

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U.S. National Science Foundation, in collaboration with Amazon, announces latest Fairness in AI grant projects
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In 2019, the U.S. National Science Foundation (NSF) and Amazon announced a collaboration — the Fairness in AI program — to strengthen and ...

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reMARS revisited: Frontiers of fair and accessible AI
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In June 2022, Amazon re:MARS, the company’s in-person event that explores advancements and practical applications within machine learning, automation, ...

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