Bias
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Mitigating social bias in knowledge graph embeddings
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Question-answering systems frequently rely on knowledge graphs, large collections of facts about real-world entities (people, organizations, countries, ...

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New dataset, metrics enable evaluation of bias in language models
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Language models, which encode the probabilities of particular sequences of words, have been much in the news lately for their almost uncanny ability to ...

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EMNLP: Mitigating bias and “getting closer to the user”
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In recent years, mitigating bias in machine learning models has become a major topic of research, and that’s as true in natural-language processing as in ...

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Advances in trustworthy machine learning at Alexa AI
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At Amazon, we take the protection of customer data very seriously. We are also committed to eliminating the biases that can exist in off-the-shelf language ...

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reMARS revisited: Improve explainability of ML models to meet regulatory requirements
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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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Dataset helps evaluate gender bias in machine translation models
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In recent years, machine translation systems have become much more accurate and fluent. As their use expands, it has become increasingly important to ensure ...

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Amazon’s Machine Learning University debuts responsible AI course
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Join us at the cutting edge of Amazon's sustainability initiatives to work on environmental and ...

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Responsible AI in the generative era
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In recent years, and even recent months, there have been rapid and dramatic advances in the technology known as generative AI. Generative AI models are ...

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Responsible AI in the wild: Lessons learned at AWS
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When we first joined AWS AI/ML as Amazon Scholars over three years ago, we had already been doing scientific research in the area now known as responsible ...

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