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    <title>Biased In, Biased Out: Three Women Shaping a More Trustworthy AI Future - MMCxchange</title>
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        <title>Biased In, Biased Out: Three Women Shaping a More Trustworthy AI Future</title>
        <link>https://mmcxchange.com/detail/biased-in-biased-out-three-women-shaping-a-more-trustworthy-ai-future_1773007110</link>
        <pubDate>Fri, 13 Feb 2026 14:01:00 -0500</pubDate>
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                <guid isPermaLink="false">https://mmcxchange.com/detail/biased-in-biased-out-three-women-shaping-a-more-trustworthy-ai-future_1773007110</guid>
        <description><![CDATA[Believe it or not, the focus on Artificial Intelligence (AI) began decades ago primarily as a result of a paper published in 1950 by a man named Alan&#8230;]]></description>
        <content:encoded><![CDATA[<p><img src="https://mmcxchange.s3.us-east-2.amazonaws.com/uploads/cover_photo/1773007110_3pioneers-n-ai.jpg" alt="Biased In, Biased Out: Three Women Shaping a More Trustworthy AI Future" /></p>Believe it or not, the focus on Artificial Intelligence (AI) began decades ago primarily as a result of a paper published in 1950 by a man named Alan Turing. He proposed his Turing Test as a benchmark for machine intelligence in the article, “Computing Machinery, and Intelligence,” where he posed the question, "Can machines think?"&nbsp; Modern AI, often described as objective, data-driven, mathematical, and precise, has been proven over time that today’s AI systems carry social, racial, and gender&#8230;]]></content:encoded>
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