{"id":5804,"date":"2020-01-24T23:54:02","date_gmt":"2020-01-24T20:54:02","guid":{"rendered":"https:\/\/www.newworldai.com\/?p=5804"},"modified":"2021-08-03T15:47:19","modified_gmt":"2021-08-03T12:47:19","slug":"artificial-intelligence-and-machine-learning-vasant-dhar","status":"publish","type":"post","link":"https:\/\/www.newworldai.com\/artificial-intelligence-and-machine-learning-vasant-dhar\/","title":{"rendered":"Artificial Intelligence and Machine Learning | Vasant Dhar and Hari Krishnan"},"content":{"rendered":"<h1 class=\"title style-scope ytd-video-primary-info-renderer\">Artificial Intelligence &amp; Machine Learning: Investing in Tech on Wall Street (Hari Krishnan &amp; Vasant Dhar)<\/h1>\n<p style=\"text-align: justify;\"><span style=\"font-family: helvetica, arial, sans-serif; font-size: 12pt;\">Artificial intelligence and machine learning are poised to &#8220;eat the world&#8221; \u2014 but how, exactly, do they work together on Wall Street to make money for traders? NYU business professor, data scientist, and hedge fund manager Vasant Dhar sits down with fellow hedge fund manager and mathematician Hari Krishnan to take a deep dive into the cutting edge where technology meets markets.<\/span><\/p>\n<p style=\"text-align: justify;\"><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/Mmm6IlDXg2E\" width=\"760\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p>Source:\u00a0<a class=\"yt-simple-endpoint style-scope ytd-video-owner-renderer\" tabindex=\"-1\" href=\"https:\/\/www.youtube.com\/channel\/UCBH5VZE_Y4F3CMcPIzPEB5A\"><img decoding=\"async\" id=\"img\" class=\"style-scope yt-img-shadow\" src=\"https:\/\/yt3.ggpht.com\/a\/AGF-l7_Cy6hg7Z80YHbzpcoHkXMMtc5OF2KXnQhGBg=s48-c-k-c0xffffffff-no-rj-mo\" alt=\"\" width=\"48\" \/><\/a><\/p>\n<div id=\"upload-info\" class=\"style-scope ytd-video-owner-renderer\">\n<div id=\"container\" class=\"style-scope ytd-channel-name\">\n<div id=\"text-container\" class=\"style-scope ytd-channel-name\"><a class=\"yt-simple-endpoint style-scope yt-formatted-string\" dir=\"auto\" spellcheck=\"false\" href=\"https:\/\/www.youtube.com\/channel\/UCBH5VZE_Y4F3CMcPIzPEB5A\">Real Vision Finance<\/a><\/div>\n<\/div>\n<\/div>\n<p style=\"text-align: justify;\"><em>Real Vision\u2122 is the destination for the world\u2019s most successful investors to share their thoughts about what\u2019s happening in today&#8217;s markets.<\/em><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-size: 14pt; color: #800080;\"><em><strong><span style=\"font-family: helvetica, arial, sans-serif;\">Who is Vasant Dhar?<\/span><\/strong><\/em><\/span><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: helvetica, arial, sans-serif; font-size: 12pt;\">Vasant Dhar is an Artificial Intelligence researcher and data scientist whose research addresses the following question: when do we trust AI systems with decision making? The question is particularly relevant to autonomous machine-learning-based systems that learn and adapt to ongoing data.<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: helvetica, arial, sans-serif; font-size: 12pt;\">Dhar\u2019s research has been motivated by building predictive models in a number of domains including finance where he founded one of the first automated machine learning-based hedge funds in the 90s, as well as areas such as healthcare, sports, education, and business.<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: helvetica, arial, sans-serif; font-size: 12pt;\">Dhar\u2019s research breaks down trust along 2 risk-based dimensions: predictability, or how frequently a system makes mistakes (X-axis) and the associated costs of error (Y-axis) of such mistakes. The research demonstrates the existence of an \u201cautomation frontier\u201d that expresses a tradeoff between how often a system will be wrong and its consequences. Trust, and hence our willingness to cede control of decision making to the machine, increases with increasing predictability and lower error costs. In other words, we are willing to trust machines if they don\u2019t make too many mistakes and their costs are tolerable. As mistakes increase, we require that their consequences be less costly.<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: helvetica, arial, sans-serif; font-size: 12pt;\">The automation frontier provides a natural way to think about the future of work. With more and better data and algorithms, parts of existing processes become automated due to increased predictability, and cross the automation frontier into the \u201ctrust the machine\u201d zone, whereas the parts with high error costs remain under human control. The model provides a way to think about the changing responsibilities of humans and machines as more data and better algorithms become better than humans with decisions.<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: helvetica, arial, sans-serif; font-size: 12pt;\">Dhar also uses the framework to frame policy issues around the risks of AI-based social media platforms and issues of privacy and ethical uses and governance of data. He writes regularly in the media on Artificial Intelligence, societal risks of AI platforms, data governance, privacy, ethics, and trust. He is a frequent speaker in academic as well as industrial forums.<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: helvetica, arial, sans-serif; font-size: 12pt;\">Professor Dhar teaches courses on Systematic Investing, Prediction, Data Science, and Foundations of FinTech.<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: helvetica, arial, sans-serif; font-size: 12pt;\">He has written over 100 research articles, funded by grants from industry and government agencies such as the National Science Foundation.<\/span><\/em><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: helvetica, arial, sans-serif; font-size: 12pt;\">Professor Dhar received his Bachelor of Technology from the Indian Institute of Technology in Delhi, and his Master of Philosophy and Doctor of Philosophy from the University of Pittsburgh.<\/span><\/em><\/p>\n<p><em>Source :\u00a0https:\/\/www.stern.nyu.edu\/faculty\/bio\/vasant-dhar<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial Intelligence &amp; Machine Learning: Investing in Tech on Wall Street (Hari Krishnan &amp; Vasant Dhar) Artificial intelligence and machine learning are poised to<\/p>\n","protected":false},"author":2,"featured_media":5805,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1475],"tags":[459,1422,180,1375],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.2.1 - 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