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AI for All
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"Could AI models programmed to expire help to mitigate bias? Some experts believe so, but the technical barriers are significant ..." 
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"Uncertainty about the unknown prevents consumers from buying into your business ..."
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"One gave our candidate a high score for English proficiency when she spoke only in German ..."
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"Social platforms large and small are struggling to keep their communities safe from hate speech, extremist content, harassment, and misinformation ..."
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"Artificial intelligence is increasingly becoming a part of our daily lives, both in the workplace and at home. Some AI experts are stressing the need to focus on making AI ethical and keeping it human friendly. Bias in programming, security concerns, and a lack of public knowledge about how ..."
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"Machine learning has a problem with data mismanagement and a culture where anything goes, according to a recent AI research survey ..."
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"One image showed ceremonial sage in a seashell; another, a black-and-white photograph circa 1884, showed hundreds of Native American children lined up in uniform outside the Carlisle Indian Industrial School, one of the most prominent boarding schools run by the U.S ..."
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"Neural networks can be disastrously brittle, forgetful, and surprisingly bad at math ..."
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"The E.U. provides a model for how to take the threats of A.I. seriously ..."
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"AI Ethics for Nonprofits toolkit helps humanitarian groups explore ethical issues in artificial intelligence machine learning solutions..."
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"Artificial intelligence is already changing the way we live our daily lives and interact with machines.From optimizing supply chains to chatting with Amazon Alexa, artificial intelligence already …"
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"There is a path towards Mindful AI. The leap to Mindful thinking has happened fast, relative to other actions in tech companies (social media, net-zero carbon emissions), making it seem mindfulness itself is the standard by which an emerging technology is judged ..."
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"When you harness the power and potential of machine learning, there are also some drastic downsides that you’ve got to manage. Deploying machine learning, you face the risk that it be discriminatory, biased, inequitable, exploitative, or opaque. In this article, I cover six ways that machine learning threatens social justice ...
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