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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link=blue vlink=purple><div class=WordSection1><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Stanford weekly seminars are quite good. I have half a mind to tune in to this discussion today.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><a href="https://hai.stanford.edu/events/hai-weekly-seminar-vinay-uday-prabhu-four-horsemen-ethical-malice-peer-reviewed-machine?utm_source=Stanford+University&utm_campaign=0f2d627924-EMAIL_CAMPAIGN_2020_03_13_10_26_COPY_01&utm_medium=email&utm_term=0_aaf04f4a4b-0f2d627924-199837799">https://hai.stanford.edu/events/hai-weekly-seminar-vinay-uday-prabhu-four-horsemen-ethical-malice-peer-reviewed-machine?utm_source=Stanford+University&utm_campaign=0f2d627924-EMAIL_CAMPAIGN_2020_03_13_10_26_COPY_01&utm_medium=email&utm_term=0_aaf04f4a4b-0f2d627924-199837799</a><o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>This comment about thawing of the AI winter caught my attention. What is that? I didn’t realize we were in an AI winter.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>AI hipsters, do offer an educational comment please.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>spike<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>EVENT TODAY!<o:p></o:p></p><p class=MsoNormal>HAI Weekly Seminar with Vinay Uday Prabhu<o:p></o:p></p><p class=MsoNormal>On the Four Horsemen of Ethical Malice in Peer-Reviewed Machine Learning Literature<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>April 17, 2020<o:p></o:p></p><p class=MsoNormal>11:00AM PDT <o:p></o:p></p><p class=MsoNormal> Add to Calendar<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Speaker Bio: Vinay Prabhu is currently the Chief Scientist at UnifyID Inc, where he leads efforts towards architecting and deploying the state-of-the-art passive mobile biometrics solution by bringing together machine learning algorithms and smart-sensor data to model the human behind the device. <o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Abstract: <span style='font-size:18.0pt'>The thawing of the AI winter and the subsequent deep learning revolution </span>has been marked by large scale open-source-driven democratization efforts and a paper publishing frenzy. As we navigate through this massive corpus of technical literature, four categories of ethical transgressions come to fore: Dataset curation, Modeling, Problem definitions and sycophantic tech-journalism. In this talk, we will explore specific examples in each of these categories with a strong focus on computer vision. The goal of this talk is to not just demonstrate the widespread usage of these datasets and models, but to also elicit a commitment from the attending scholars to either not use these datasets or models, or to insert an ethical caveat in case of unavoidable usage…<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>