1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchSubhabrata (Subho) Mukherjeehttps://www.microsoft.com/en-us/research/people/submukhe/Trustworthy AI - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="NUjzYdkhAx"><a href="https://www.microsoft.com/en-us/research/project/trustworthy-ai/">Trustworthy AI</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/project/trustworthy-ai/embed/#?secret=NUjzYdkhAx" width="600" height="338" title="“Trustworthy AI” — Microsoft Research" data-secret="NUjzYdkhAx" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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This project focuses on big ideas – for resolving conflicts, fact-checking, ascertaining credibility of claims, explaining predictions from deep fake detectors, developing robust adversarial mechanisms for fake content detection, manipulation and safeguards, and making detection algorithms fair and unbiased to the involved participants – in heterogeneous and multi-modal sources of information including texts, images, videos, relational data, social networks and knowledge graphs.