{"id":5,"date":"2019-10-25T13:30:40","date_gmt":"2019-10-25T17:30:40","guid":{"rendered":"https:\/\/sites.bu.edu\/bias-ai\/colloquium-for-philosophy-of-science-bias-in-ai-towards-algorithmic-transparency-justice-ethics\/"},"modified":"2020-03-09T15:26:23","modified_gmt":"2020-03-09T19:26:23","slug":"colloquium-for-philosophy-of-science-bias-in-ai-towards-algorithmic-transparency-justice-ethics","status":"publish","type":"page","link":"https:\/\/sites.bu.edu\/bias-ai\/","title":{"rendered":"<h3>&#8220;Bias in AI: Towards Algorithmic Transparency, Justice &amp; Ethics&#8221; on Sunday, March 22, 2020.\u00a0<\/h3>"},"content":{"rendered":"<p><span style=\"color: #ff0000;\">Dear Bias in AI Attendees,<\/span><\/p>\n<p><span style=\"color: #ff0000;\">As safety and health of the community come first,\u00a0it is with a heavy heart that <strong>we are canceling our Boston University Colloquium event on \u201cBias in AI\u201d<\/strong> that was scheduled for Sunday, March 22 \u2013 Monday, March 23.<\/span><\/p>\n<p><span style=\"color: #ff0000;\">Boston University has been closely monitoring the news about the spread of the Covid-19 virus. Many universities are now recommending to cancel large events and unnecessary international and domestic travel.\u00a0Our hope is to reschedule this event next academic year.\u00a0<\/span><span style=\"color: #ff0000;\">The topic of Bias in AI is an extremely important one whose relevance is only going to continue to grow.\u00a0We sincerely apologize for any inconvenience this may cause and look forward to seeing you all at this event once this has passed.<\/span><\/p>\n<p><span style=\"color: #ff0000;\">If you have any questions about this event, please contact the Hariri Institute for Computing at <a href=\"mailto:hicadmin@bu.edu\" style=\"color: #ff0000;\">hicadmin@bu.edu<\/a>.<\/span><\/p>\n<p><span style=\"color: #ff0000;\">Best Regards,<\/span><br \/>\n<span style=\"color: #ff0000;\">Bias in AI Event Co-Organizers<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><!--\n\n<span>With the increased dependence of our society and economy on algorithmic processes that adapt to the data they consume, there is mounting evidence that these processes are susceptible to producing biased results. AI bias may be introduced by system designers with conscious or unconscious preferences or it may be simply the result of relying on data with pre-existing biases.<\/span><span>\u00a0<\/span><span>These biases are of particular concern when used in Artificial Intelligence (AI) systems with decision-making capacities in contexts of social importance.<\/span>\n\n<span>This two-day conference, co-organized by the <strong><a href=\"https:\/\/www.bu.edu\/cphs\/\">BU Center for Philosophy &amp; History of Science<\/a><\/strong>, the <strong><a href=\"https:\/\/www.bu.edu\/hic\/\">BU Hariri Institute for Computing<\/a><\/strong>, and the <strong><a href=\"https:\/\/www.bu.edu\/researchsupport\/compliance\/responsible-conduct-of-research\/\">BU Responsible Conduct of Research Program<\/a><\/strong>, will bring together computer scientists, philosophers, lawyers, medical doctors, and more to discuss topics ranging from the design of ethical algorithms to the topography of bias, with the aim of exploring how to promote more transparent, just, and ethical AI algorithms.<\/span>\n\n<a href=\"https:\/\/www.bu.edu\/researchsupport\/compliance\/responsible-conduct-of-research\/\"><\/a>\n\n\n\n<hr \/>\n\n\n\n\n\n<h4>Two-Day Event<\/h4>\n\n\n<strong>DAY 1<\/strong>\nSunday, March 22nd, 2020\n<strong>Location<\/strong>\n<a href=\"https:\/\/www.bu.edu\/kilachandcenter\/\">Kilachand Center<\/a>, 610 Commonwealth Ave, Room 101, Boston, MA (<a href=\"https:\/\/goo.gl\/maps\/mJeVzGAv9Ndg5xDk6\" target=\"_blank\" rel=\"noopener\">map<\/a>)\n<strong>Format\n<\/strong>Public lectures\n\n<strong>DAY 2<\/strong>\nMonday, March 23rd, 2020\n<strong>Location<\/strong>\n<a href=\"https:\/\/www.bu.edu\/hic\/\">Hariri Institute for Computing<\/a>, 111 Cummington Mall, Rooms\u00a0<span>B39 and B24,<\/span>\u00a0Boston, MA (<a href=\"https:\/\/bit.ly\/2sAPF5q\">map<\/a>)\n<strong>Format\n<\/strong>Interactive workshops\n\n&nbsp;\n\n\n<h5><a href=\"https:\/\/www.eventbrite.com\/e\/bias-in-ai-towards-algorithmic-transparency-justice-ethics-tickets-82038678897\" target=\"_blank\" rel=\"noopener\" color=\"#000\"><button class=\"align-left\">EVENT REGISTRATION<\/button><\/a><\/h5>\n\n\n\n\n\n<hr \/>\n\n\n\n\n\n<h3><\/h3>\n\n\n\n\n<h4>Agenda<\/h4>\n\n\n\n\n<table style=\"border-color: #ffffff; width: 800px;\">\n\n\n<tbody>\n\n\n<tr style=\"background-color: #d1d1d1;\">\n\n\n<th style=\"width: 150px; text-align: left; vertical-align: top;\"><\/th>\n\n\n\n\n<th style=\"width: 200px; text-align: left; vertical-align: top;\"><span>Sunday, March 22, 2020 (Kilachand Center)<\/span><\/th>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td style=\"width: 175px; text-align: left; vertical-align: top;\"><span>9:45am \u2013 12:15pm<\/span><\/td>\n\n\n\n\n<td style=\"width: 200px; text-align: left; vertical-align: top;\"><strong>Welcome Remarks (9:45am \u2013 10:00am)<\/strong>\n<span>Jean Morrison, Provost, Boston University<br style=\"clear: both;\" \/><br style=\"clear: both;\" \/><\/span>\n<strong>The Ethical Algorithm (10:00am \u2013 10:45am)<\/strong>\n<span>Michael Kearns, Computer &amp; Information Science, U of Pennsylvania<br style=\"clear: both;\" \/><br style=\"clear: both;\" \/><\/span><strong>A Topography of Bias (10:45am \u2013 11:30am)<\/strong>\n<span>Deborah Hellman, School of Law, University of Virginia<br style=\"clear: both;\" \/><br style=\"clear: both;\" \/><\/span><strong>Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning (11:30am \u2013 12:15pm)<\/strong>\n<span>Timnit Gebru, Ethical AI Team<a href=\"https:\/\/ai.google\/research\/teams\/brain\/\">,<\/a> Google Brain<\/span><\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td style=\"vertical-align: top;\"><span>12:15pm \u2013 1:30pm<\/span><\/td>\n\n\n\n\n<td><strong>Lunch<\/strong><\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td style=\"vertical-align: top;\"><span>1:30pm \u2013 5:30pm<\/span><\/td>\n\n\n\n\n<td><strong>Soft Ethics: From AI\u2019s Ethical Principles to Practices (1:30pm \u2013 2:15pm)<\/strong>\n<span>Luciano Floridi, Philosophy and Digital Ethics Lab, Oxford University<br style=\"clear: both;\" \/><br style=\"clear: both;\" \/><\/span><strong>Taming the Machine: How do we Recognize and Address Bias in Medical AI (2:15pm \u2013 3:00pm)<\/strong>\n<span>Ravi B. Parikh, Perelman School of Medicine, U of Penn<br style=\"clear: both;\" \/><br style=\"clear: both;\" \/><\/span><strong>AI in Medicine: Uncertainty, Association and Intervention (3:00 \u2013 3:45pm)<\/strong>\n<span>Alex John London, Philosophy, Carnegie Mellon<\/span><\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td style=\"vertical-align: top;\">3:45pm \u2013 4:00pm<span><\/span><\/td>\n\n\n\n\n<td><strong>Coffee Break<\/strong><\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td style=\"vertical-align: top;\">4:00pm \u2013 5:30pm<\/td>\n\n\n\n\n<td><strong>Fairness and Machine Learning: Limitations and Opportunities (4:00pm \u2013 4:45pm)<\/strong>\n<span>Moritz Hardt, Electrical Engineering &amp; Computer Science, UC Berkeley<br style=\"clear: both;\" \/><br style=\"clear: both;\" \/><\/span><strong>Technology\u2019s Unpaid Debt: AI and the Promise of a More Humane Future (4:45pm \u2013 5:30pm)<\/strong>\n<span>Shannon Vallor,\u00a0Edinburgh Futures Institute (EFI), University of Edinburgh<\/span><\/td>\n\n\n<\/tr>\n\n\n\n\n<tr style=\"background-color: #d1d1d1;\">\n\n\n<th style=\"text-align: left;\"><\/th>\n\n\n\n\n<th style=\"text-align: left;\"><span>Monday, March 23, 2020 (Hariri Institute for Computing)<\/span><\/th>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td><\/td>\n\n\n\n\n<td><strong>Workshop 1: \"DISCRIMINATION BIASES IN AI\"<\/strong><\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td>9:00am \u2013 9:15am<\/td>\n\n\n\n\n<td><strong>Welcoming Remarks<\/strong>\nNina Mazar and Nalin Kulatilaka, Co-Directors of the Susilo Institute<\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td>9:15am\u00a0\u2013 10:00am<\/td>\n\n\n\n\n<td><strong>Gender Bias in Advertising Algorithms<\/strong>\nCatherine Tucker, Sloan Distinguished Professor of Management, MIT<\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td>10:00am\u00a0\u2013 10:45am<\/td>\n\n\n\n\n<td><strong>Racial Bias in Health Algorithms<\/strong>\nBrian Powers, Internal Medicine at Brigham and Women's Hospital<\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td>10:45am\u00a0\u2013 11:00am<\/td>\n\n\n\n\n<td><strong>Break<\/strong><\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td>11:00am\u00a0\u2013 12:15pm<\/td>\n\n\n\n\n<td><strong>Group Discussion<\/strong><\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td>12:15pm\u00a0\u2013 1:30pm<\/td>\n\n\n\n\n<td><strong>Lunch<\/strong><\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td><\/td>\n\n\n\n\n<td><\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td><\/td>\n\n\n\n\n<td><b>Workshop 2: \"AI AND THE FUTURE OF MEDICINE: OPPORTUNITIES AND PITFALLS\"<\/b><\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td><\/td>\n\n\n\n\n<td><\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td>10:00am\u00a0\u2013 12:00pm<\/td>\n\n\n\n\n<td><strong>A conversational interactive workshop on: AI and the Future of Medicine.\u00a0<\/strong>\n\n<em><strong>Panelists:\n<\/strong><\/em><span>Bill Adams, MD (BMC Pediatrics, Bioinformatics, CTSI)<\/span>\n<span>Rebecca Mishuris, MD (BMC Health informatics and Operations)<\/span>\n<span>Vijaya Kolachalama, PhD (BU Medicine and Pathology, Image Analysis)<\/span>\n<span>Elaine Nsoesie, PhD (Public Health and AI)<\/span>\n<span>Yannis Paschalidis, PhD (BU Engineering, Algorithms)<\/span>\n<span>Ravi Parikh (U Penn, Medical Ethics and Health Policy)<\/span><\/td>\n\n\n<\/tr>\n\n\n<\/tbody>\n\n\n<\/table>\n\n\n&nbsp;\n\n&nbsp;\n\n\n\n<hr \/>\n\n\n\n\n\n<h4>Speakers<\/h4>\n\n\n\n\n<details>\n\n<summary><strong>DAY 1 SPEAKERS<\/strong><\/summary>\n\n\n\n\n<table>\n\n\n<tbody>\n\n\n<tr>\n\n\n<td style=\"width: 225px;\"><img loading=\"lazy\" src=\"\/bias-ai\/files\/2019\/11\/luciano_floridi.jpg\" alt=\"\" width=\"200\" height=\"200\" class=\"alignnone wp-image-54\" srcset=\"https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/luciano_floridi.jpg 250w, https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/luciano_floridi-150x150.jpg 150w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/><\/td>\n\n\n\n\n<td><strong><a href=\"https:\/\/www.oii.ox.ac.uk\/people\/luciano-floridi\/\">Luciano Floridi<\/a><\/strong>\n\n<em>Professor, Philosophy and Ethics of Information, University of Oxford\n<\/em>Luciano Floridi\u00a0is also the Director of the Digital Ethics Lab of the Oxford Internet Institute. He is also a faculty fellow of the Alan Turing Institute. He has published over 150 papers in the areas of Information and Computer Ethics, Philosophy of Information, and Philosophy of Technology, and his most recent book is <em style=\"font-family: inherit; font-size: inherit;\">The Fourth Revolution \u2013 How the infosphere is reshaping human reality<\/em> (Oxford University Press, 2014).<\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td><img loading=\"lazy\" src=\"\/bias-ai\/files\/2019\/11\/timnit-gebru.jpg\" alt=\"\" width=\"200\" height=\"200\" class=\"alignnone wp-image-55\" srcset=\"https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/timnit-gebru.jpg 250w, https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/timnit-gebru-150x150.jpg 150w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/><\/td>\n\n\n\n\n<td><strong><a href=\"http:\/\/ai.stanford.edu\/~tgebru\/\">Timnit Gebru<\/a><\/strong>\n\n<em><span>Research Assistant, Google Ethical AI Team<span><\/span><\/span><\/em>\nTimnit Gebru\u00a0received her doctorate from Stanford University in the Artificial Intelligence Laboratory and was a postdoc at Microsoft Research in the FATE (Fairness Transparency Accountability and Ethics in AI) group. \u00a0She has worked on algorithmic bias and the ethical implications underlying any data mining projects. Her work has been covered in part by <a href=\"https:\/\/www.economist.com\/science-and-technology\/2017\/03\/02\/a-machine-learning-census-of-americas-cities\">The Economist<\/a> and the <a href=\"https:\/\/www.nytimes.com\/2018\/02\/09\/technology\/facial-recognition-race-artificial-intelligence.html\">New York Times<\/a>. Dr. Gebru is also one of the founding members of Black in AI, a community of black researchers working in Artificial Intelligence.<\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td><img loading=\"lazy\" src=\"\/bias-ai\/files\/2019\/11\/moritz-hardt.jpg\" alt=\"\" width=\"200\" height=\"200\" class=\"alignnone wp-image-56\" srcset=\"https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/moritz-hardt.jpg 250w, https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/moritz-hardt-150x150.jpg 150w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/><\/td>\n\n\n\n\n<td><strong><a href=\"https:\/\/www2.eecs.berkeley.edu\/Faculty\/Homepages\/mhardt.html\">Moritz Hardt<\/a><\/strong>\n\n<em>Assistant Professor, Electrical Engineering and Computer Sciences, University of California, Berkeley\n<\/em>Hardt investigates algorithms and machine learning with a focus on reliability, validity, and societal impact. After obtaining a PhD in Computer Science from Princeton University, he held positions at IBM Research Almaden, Google Research and Google Brain. Hardt is a co-founder of the Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT\/ML) and a co-author of the forthcoming textbook <em>Fairness and Machine Learning<\/em>. He has received an NSF CAREER award, a Sloan fellowship, and best paper awards at ICML 2018 and ICLR 2017.<\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td><img loading=\"lazy\" src=\"\/bias-ai\/files\/2019\/11\/deborah-hellman.jpg\" alt=\"\" width=\"200\" height=\"200\" class=\"wp-image-57 alignnone\" srcset=\"https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/deborah-hellman.jpg 250w, https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/deborah-hellman-150x150.jpg 150w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/><\/td>\n\n\n\n\n<td><strong><a href=\"https:\/\/www.law.virginia.edu\/faculty\/profile\/dh9ev\/2299809\">Deborah Hellman<\/a><\/strong>\n\n<em>Professor, School of Law, University of Virginia\n<\/em><span class=\"s1\">Deborah Hellman\u2019s work focuses on equal protection law and its philosophical justification. She is the author of <\/span><span class=\"s2\"><i>When is Discrimination Wrong?<\/i> (Harvard University Press, 2008) and co-editor of <i>The Philosophical Foundations of Discrimination Law<\/i> (Oxford University Press, 2013), as well as articles related to equal protection and assessing fairness in algorithmic decisions.<\/span><\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td><img loading=\"lazy\" src=\"\/bias-ai\/files\/2019\/11\/michael-kearns.png\" alt=\"\" width=\"200\" height=\"200\" class=\"wp-image-58 alignnone\" srcset=\"https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/michael-kearns.png 250w, https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/michael-kearns-150x150.png 150w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/><\/td>\n\n\n\n\n<td><strong><a href=\"https:\/\/www.cis.upenn.edu\/~mkearns\/\">Michael Kearns<\/a><\/strong>\n\n<em>Professor and National Center Chair, Computer and Information Science, University of Pennsylvania<\/em>\nHe is also the Founding Director of the Warren Center for Network and Data Sciences. \u00a0He is the author of a new book out this year with Aaron Roth entitled <em>The Ethical Algorithm <\/em>(Oxford University Press), which examines the science of designing algorithms that embed social values such as privacy and fairness.<\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td><img loading=\"lazy\" src=\"\/bias-ai\/files\/2019\/11\/Alex-John-London.jpg\" alt=\"\" width=\"200\" height=\"200\" class=\"alignnone wp-image-59\" srcset=\"https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/Alex-John-London.jpg 250w, https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/Alex-John-London-150x150.jpg 150w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/><\/td>\n\n\n\n\n<td><strong><a href=\"https:\/\/www.cmu.edu\/dietrich\/philosophy\/people\/faculty\/london.html\">Alex John London<\/a><\/strong>\n\n<em>Clara L. West Professor of Ethics and Philosophy, Director of the Center for Ethics and Policy, Carnegie Mellon University\n<\/em><span class=\"s1\">His work focuses on ethical and policy issues surrounding the development and deployment of novel technologies in medicine, biotechnology, and artificial intelligence. His papers have appeared in journals such as Mind, the Philosophers\u00a0Imprint, Science, JAMA, the Lancet, and he is co-editor of Ethical Issues in Modern Medicine, a widely-used textbook in medical ethics. <\/span><span class=\"s2\">He is an elected fellow of\u00a0The Hastings Center and has served as an ethics expert in consultations with numerous national and international organizations including U.S. National Institutes of Health, the U.S. National Academy of Medicine, the\u00a0World Health Organization, the World Medical Association,\u00a0and\u00a0the World Bank.<\/span><\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td><img loading=\"lazy\" src=\"\/bias-ai\/files\/2019\/11\/ravi-b-parikh.jpg\" alt=\"\" width=\"200\" height=\"200\" class=\"alignnone wp-image-60\" srcset=\"https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/ravi-b-parikh.jpg 250w, https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/ravi-b-parikh-150x150.jpg 150w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/><\/td>\n\n\n\n\n<td><strong><a href=\"https:\/\/ldi.upenn.edu\/expert\/ravi-parikh-md\">Ravi B. Parikh<\/a><\/strong>\n\n<em>Instructor in Medical Ethics and Health Policy, University of Pennsylvania and a Staff Physician at the Corporal Michael J. Crescenz VA Medical Center\n<\/em>His work has focused on the use of predictive analytics to improve routine patient care, as well as the quality of life and survivorship among individuals with cancer. He has been published in Science, The New England Journal of Medicine, The Journal of the American Medical Association, and the Journal of Clinical Oncology.<\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td style=\"width: 220px;\"><img loading=\"lazy\" src=\"\/bias-ai\/files\/2019\/11\/shannon-vallor.jpg\" alt=\"\" width=\"200\" height=\"200\" class=\"wp-image-61 alignnone\" srcset=\"https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/shannon-vallor.jpg 250w, https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/shannon-vallor-150x150.jpg 150w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/><\/td>\n\n\n\n\n<td><strong><a href=\"https:\/\/www.scu.edu\/cas\/philosophy\/faculty-and-staff\/shannon-vallor\/\"><span style=\"color: #0000ff;\">Shannon<\/span> Vallor<\/a><\/strong>\n\n<em>Baillie Gifford Chair in the Ethics of Data and Artificial Intelligence, Edinburgh Futures Institute (EFI), University of Edinburgh\n<\/em>Formerly she was the Regis and Dianne McKenna Professor in the Department of Philosophy at Santa Clara University as well as an AI Ethicist\/Visiting Researcher at Google. Her research explores the philosophy and ethics of emerging science and technologies. In particular, her work focuses on the impact of emerging technologies--particularly those involving automation and artificial intelligence--on the moral and intellectual habits, skills and virtues of human beings. Her book <em>Technology and the Virtues: A Philosophical Guide to a Future Worth Wanting <\/em>was published in 2016 (Oxford University Press). She is currently working on a new book <em>The AI Mirror: Rebuilding Humanity in an Age of Machine Thinking<\/em>.<\/td>\n\n\n<\/tr>\n\n\n<\/tbody>\n\n\n<\/table>\n\n\n&nbsp;\n\n<\/details>\n\n\n\n<details>\n\n<summary><strong>DAY 2 SPEAKERS<\/strong><\/summary>\n\n\n\n\n<table>\n\n\n<tbody>\n\n\n<tr>\n\n\n<td style=\"width: 225px;\"><img loading=\"lazy\" src=\"\/bias-ai\/files\/2020\/02\/bill_adams-240x360.jpg\" alt=\"\" width=\"189\" height=\"284\" class=\"wp-image-192 alignnone\" \/><\/td>\n\n\n\n\n<td><span style=\"color: #0000ff;\"><strong><a href=\"https:\/\/www.bu.edu\/hic\/profile\/william-g-adams-md\/\" style=\"color: #0000ff;\">Bill Adams<\/a><\/strong><\/span>\n\n<span><em>Director of Child Health Informatics for the Department of Pediatrics, Director of BU-CTSI Clinical Research Informatics, Boston Medical Center (BMC)<\/em>\n<\/span><span>For the past two decades, his primary research has been focused on developing and evaluating information technology (IT)-based solutions for improving the quality of healthcare for children and families. He has extensive experience in software development as well as the management and use of large clinical data sets for quality reporting and research. He seeks to create and evaluate integrated health information systems that are usable\u00a0and effective.<\/span><\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td style=\"width: 225px;\"><img loading=\"lazy\" src=\"\/bias-ai\/files\/2020\/02\/Vijaya-Kolachalama-3-107x150.jpg\" alt=\"\" width=\"200\" height=\"280\" class=\"alignnone wp-image-195\" \/><\/td>\n\n\n\n\n<td><span style=\"color: #0000ff;\"><a href=\"https:\/\/www.bumc.bu.edu\/busm\/profile\/vijaya-kolachalama\/\" style=\"color: #0000ff;\"><strong>Vijaya Kolachalama<\/strong><\/a><\/span>\n\n<span><em>Assistant Professor, Computational Biomedicine, BU School of Medicine<\/em>\nResearch in his group is focused on developing deep learning algorithms for disease risk assessment as well as biomarker development and designing software technologies to assist therapeutic development and clinical decision-making. Current projects include development of fully convolutional networks and multimodal fusion models to predict the risk of Alzheimer\u2019s disease and osteoarthritis using digital data such as MR imaging, and computer vision related tasks such as semantic segmentation, image classification and object detection for digital pathology applications. His group is also developing recurrent neural network approaches for protein sequence analysis.<\/span>\n\n<span style=\"color: #0000ff;\"><strong><\/strong><\/span><\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td><img loading=\"lazy\" src=\"\/bias-ai\/files\/2020\/02\/Nalin-Kulatilaka-636x636.png\" alt=\"\" width=\"200\" height=\"200\" class=\"alignnone wp-image-217\" srcset=\"https:\/\/sites.bu.edu\/bias-ai\/files\/2020\/02\/Nalin-Kulatilaka-636x636.png 636w, https:\/\/sites.bu.edu\/bias-ai\/files\/2020\/02\/Nalin-Kulatilaka-150x150.png 150w, https:\/\/sites.bu.edu\/bias-ai\/files\/2020\/02\/Nalin-Kulatilaka-768x768.png 768w, https:\/\/sites.bu.edu\/bias-ai\/files\/2020\/02\/Nalin-Kulatilaka-1024x1024.png 1024w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/><\/td>\n\n\n\n\n<td><strong><a href=\"https:\/\/www.bu.edu\/susilo\/team\/nalin-kulatilaka\/\">Nalin Kulatilaka<\/a><\/strong>\n\n<em>Co-Director, Susilo Institute, Professor, Management and Finance, BU Questrom School of Business\n<\/em><span>Nalin Kulatilaka is Wing Tat Lee Family Professor of Management and Professor of Finance at Boston University Questrom School of Business where he also serves as the co-director of the Susilo for Ethics in the Global Economy. Nalin\u2019s current research interests include social impact investing and financing distributed energy.\u00a0<\/span><span>He has published over 75 papers in top academic journals as well as influential managerial publications. His book, Real Options (HBS Press), has received wide acclaim. His honors include Bertil Danielson Chair (Stockholm School of Economics), Tamkang Chair (Tamkang University, Taipei), and the Association for Investment Management and Research\u2019s Graham and Dodd Award.\u00a0<\/span><\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td><img loading=\"lazy\" src=\"\/bias-ai\/files\/2020\/02\/nina-mazar.png\" alt=\"\" width=\"200\" height=\"203\" class=\"alignnone wp-image-218\" \/><\/td>\n\n\n\n\n<td><strong><a href=\"https:\/\/www.bu.edu\/questrom\/profile\/nina-mazar\/\">Nina Mazar<\/a><\/strong>\n\n<em>Co-Director, Susilo Institute, Professor, Marketing, BU Questrom School of Business\n<\/em>Nina Mazar is a\u00a0behavioral scientist, named one of \u201cThe 40 Most Outstanding B-School Profs Under 40 In The World\u201d (Poets&amp;Quants, 2014). With her focus on behavioral economics, she investigates how expectations, emotions, peers, and random cues in the environment\u00a0affect how we think about products, money, investments, and morality, and their implications for welfare, development, and\u00a0policy. Her research topics range from the\u00a0dishonesty of honest people\u00a0to irrational attraction to\u00a0free\u00a0products, the paradoxes of\u00a0green\u00a0behavior,\u00a0tax\u00a0compliance, organ and blood\u00a0donation, and nudges to reduce\u00a0credit card\u00a0delinquency.<\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td><img loading=\"lazy\" src=\"\/bias-ai\/files\/2020\/02\/Mishuris-Rebecca-184x184.jpg\" alt=\"\" width=\"200\" height=\"200\" class=\"alignnone wp-image-196\" srcset=\"https:\/\/sites.bu.edu\/bias-ai\/files\/2020\/02\/Mishuris-Rebecca-184x184.jpg 184w, https:\/\/sites.bu.edu\/bias-ai\/files\/2020\/02\/Mishuris-Rebecca-184x184-150x150.jpg 150w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/><\/td>\n\n\n\n\n<td><span style=\"color: #0000ff;\"><strong><a href=\"https:\/\/www.bmc.org\/about-us\/directory\/doctor\/rebecca-g-mishuris-md\" style=\"color: #0000ff;\">Rebecca Mishuris<\/a><\/strong><\/span>\n\n<span><em>Associate Chief Medical Information Officer, Boston Medical Center (BMC)<\/em>\nDr. Mishuris is leading the optimization of the EHR (Epic Systems, implemented 2013) in the ambulatory setting, as well as health IT efforts enterprise-wide around population health management, clinical decision support, regulatory requirements, safety and quality, reporting, and patient portals. She is the clinical lead for the implementation of data analytics and complex care management platforms across the BMC Health System (BMCHS) as part of a MassHealth (Medicaid) ACO joint venture. She oversees health IT research at Boston Medical Center as it relates to the EHR. Dr. Mishuris conducts research on the integration of health information technology in care delivery to show improvements in quality and outcomes, and reduction in costs.\u00a0<\/span><\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td><img loading=\"lazy\" src=\"\/bias-ai\/files\/2020\/02\/Elaine-Nsoesie-1.png\" alt=\"\" width=\"200\" height=\"200\" class=\"alignnone wp-image-197\" srcset=\"https:\/\/sites.bu.edu\/bias-ai\/files\/2020\/02\/Elaine-Nsoesie-1.png 600w, https:\/\/sites.bu.edu\/bias-ai\/files\/2020\/02\/Elaine-Nsoesie-1-150x150.png 150w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/><\/td>\n\n\n\n\n<td><strong><a href=\"https:\/\/www.linkedin.com\/in\/elaine-nsoesie-86049695\"><span style=\"color: #0000ff;\">Elaine Nsoesie<\/span><\/a><\/strong>\n\n<span><em>Assistant Professor, BU School of Public Health<\/em>\nDr. Nsoesie applies data science methodologies to global health problems, using digital data and technology to improve health, particularly in the realm of surveillance of chronic and infectious diseases. She completed her PhD dissertation, Sensitivity Analysis and Forecasting in Network Epidemiology Models, at the Network Dynamics and Simulations Science Lab at Virginia Tech BioComplexity Institute. After postdoctoral associate positions at Harvard Medical School and Boston Children\u2019s Hospital, Dr. Nsoesie joined the faculty of the Institute for Health Metrics and Evaluation (IHME) at the University of Washington.<\/span><\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td><img loading=\"lazy\" src=\"\/bias-ai\/files\/2020\/02\/15-8632-ADAMSPASCH-148-465x636-465x636.jpg\" alt=\"\" width=\"200\" height=\"274\" class=\"alignnone wp-image-198\" \/><\/td>\n\n\n\n\n<td><strong><a href=\"http:\/\/sites.bu.edu\/paschalidis\/people\/yannis-paschalidis\/\"><span style=\"color: #0000ff;\">Yannis Paschalidis<\/span><\/a><\/strong>\n\n<span><em>Professor, Director of the Center for Information and Systems Engineering (CISE), BU College of Engineering<\/em>\nHis research interests include systems and control, networking, data science, optimization, applied probability, operations research, computational biology, medical informatics, and bioinformatics. His recent work has found applications in networks (communication, sensor, transportation, metabolic), protein docking, logistics, cyber-security, robotics, the smart-grid, health care, and finance.<\/span><\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td><img loading=\"lazy\" src=\"\/bias-ai\/files\/2019\/11\/ravi-b-parikh.jpg\" alt=\"\" width=\"200\" height=\"200\" class=\"alignnone wp-image-60\" srcset=\"https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/ravi-b-parikh.jpg 250w, https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/ravi-b-parikh-150x150.jpg 150w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/><\/td>\n\n\n\n\n<td><strong><a href=\"https:\/\/ldi.upenn.edu\/expert\/ravi-parikh-md\">Ravi B. Parikh<\/a><\/strong>\n\n<em>Instructor in Medical Ethics and Health Policy, University of Pennsylvania and a Staff Physician at the Corporal Michael J. Crescenz VA Medical Center\n<\/em>His work has focused on the use of predictive analytics to improve routine patient care, as well as the quality of life and survivorship among individuals with cancer. He has been published in Science, The New England Journal of Medicine, The Journal of the American Medical Association, and the Journal of Clinical Oncology.<\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td><img loading=\"lazy\" src=\"\/bias-ai\/files\/2020\/02\/brian-powers.jpg\" alt=\"\" width=\"200\" height=\"200\" class=\"alignnone wp-image-229\" srcset=\"https:\/\/sites.bu.edu\/bias-ai\/files\/2020\/02\/brian-powers.jpg 455w, https:\/\/sites.bu.edu\/bias-ai\/files\/2020\/02\/brian-powers-150x150.jpg 150w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/><\/td>\n\n\n\n\n<td><a href=\"https:\/\/connects.catalyst.harvard.edu\/Profiles\/display\/Person\/108551\"><strong>Brian Powers, MD<\/strong><\/a>\n\n<em>Brigham and Women's Hospital and Harvard Medical School<\/em>\n<span>Brian W. Powers, MD, MBA is a resident physician in internal medicine at Brigham and Women\u2019s Hospital and Deputy Editor of <\/span><i>Healthcare: The Journal of Delivery Science and Innovation<\/i><span>. He has helped design and implement population health management and delivery improvement initiatives at Partners HealthCare, CareMore Health, and Blue Cross Blue Shield of North Carolina, and contributed to policy design and analysis at the National Academy of Medicine (formerly the Institute of Medicine) and the Massachusetts Health Policy Commission. His research focuses on applied predictive analytics, race and medicine, and the design of care management programs and has been published in venues such as JAMA, Science, Health Affairs, and the New England Journal of Medicine.<\/span><\/td>\n\n\n<\/tr>\n\n\n\n\n<tr>\n\n\n<td><img loading=\"lazy\" src=\"\/bias-ai\/files\/2020\/02\/catherine-tucker-1.jpeg\" alt=\"\" width=\"200\" height=\"200\" class=\"alignnone wp-image-228\" srcset=\"https:\/\/sites.bu.edu\/bias-ai\/files\/2020\/02\/catherine-tucker-1.jpeg 225w, https:\/\/sites.bu.edu\/bias-ai\/files\/2020\/02\/catherine-tucker-1-150x150.jpeg 150w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/><\/td>\n\n\n\n\n<td><strong><a href=\"https:\/\/mitsloan.mit.edu\/faculty\/directory\/catherine-tucker\">Catherine Tucker<\/a><\/strong>\n\n<em><span>Sloan Distinguished Professor of Management<\/span><span>\u00a0and Professor of Marketing at MIT Sloan<\/span>\n<\/em><span>Her research interests lie in how technology allows firms to use digital data and machine learning to improve performance, and in the challenges this poses for regulation. Tucker has particular expertise in online advertising, digital health, social media, and electronic privacy. Her research studies the interface between marketing, the economics of technology, and law.\u00a0<\/span><\/td>\n\n\n<\/tr>\n\n\n<\/tbody>\n\n\n<\/table>\n\n\n<\/details>\n\n\n\n\n\n<hr \/>\n\n\n\n\n\n<h4>About the Co-Organizers<\/h4>\n\n\n<img loading=\"lazy\" src=\"\/bias-ai\/files\/2019\/11\/CPHS-logo-black-186-red-636x52.jpg\" alt=\"\" width=\"340\" height=\"28\" class=\"alignnone wp-image-121\" srcset=\"https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/CPHS-logo-black-186-red-636x52.jpg 636w, https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/CPHS-logo-black-186-red.jpg 705w\" sizes=\"(max-width: 340px) 100vw, 340px\" \/>\n\n<strong><a href=\"https:\/\/www.bu.edu\/cphs\/\">The BU Center for Philosophy &amp; History of Science<\/a><\/strong><span> is one of twenty-one independent research centers and institutes within Boston University\u2019s College of Arts of Sciences. Founded in 1960, the Center\u2019s mission is to build bridges between the humanities and sciences by promoting interdisciplinary research into the historical, philosophical, ethical, and social factors that govern the theory and practice of science. For over 50 years, the Center has organized the <\/span>Boston Colloquium for Philosophy of Science<span>, bringing together dozens of the world\u2019s top researchers in a premier forum for national and international dialogue concerning all aspects of the history and philosophy of science.<\/span>\n\n<img loading=\"lazy\" src=\"\/bias-ai\/files\/2019\/11\/Research-Support-Logo.jpg\" alt=\"\" width=\"175\" height=\"28\" class=\"alignnone wp-image-92\" \/>\n\n<strong><a href=\"https:\/\/www.bu.edu\/researchsupport\/compliance\/responsible-conduct-of-research\/\">The Responsible Conduct of Research Program<\/a><\/strong><b>\u00a0(RCR<\/b><span>) program\u00a0is a campus-wide endeavor tasked with educating students, trainees, and scholars in the ethical foundations of research. This is achieved through the attendance of theme-based workshops that are overseen by faculty mentors. Trainees supported through NIH training grants or NSF funding are required to attend. In addition, several departments at the University require that all their graduate students and post-docs participate in this program. One common\u00a0thread is to emphasize that rigorous and reproducible research is enhanced by paying attention to key fundamental issues covered in these workshops.<\/span>\n\n<img loading=\"lazy\" src=\"\/bias-ai\/files\/2019\/11\/Hariri-logo-black-186-red-636x71.png\" alt=\"\" width=\"249\" height=\"28\" class=\"alignnone wp-image-91\" srcset=\"https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/Hariri-logo-black-186-red-636x71.png 636w, https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/Hariri-logo-black-186-red-768x86.png 768w, https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/Hariri-logo-black-186-red-1024x115.png 1024w, https:\/\/sites.bu.edu\/bias-ai\/files\/2019\/11\/Hariri-logo-black-186-red.png 1753w\" sizes=\"(max-width: 249px) 100vw, 249px\" \/>\n\n<span><a href=\"https:\/\/www.bu.edu\/hic\/\"><strong>The Hariri Institute for Computing<\/strong><\/a><\/span><strong><span>\u00a0<\/span><\/strong><em>initiates<\/em>,<span>\u00a0<\/span><em>catalyzes<\/em>, and<span>\u00a0<\/span><em>propels<span>\u00a0<\/span><\/em>collaborative, interdisciplinary research and training initiatives for a better society by: (a) promoting discovery and innovations through the use of computational and data-driven approaches, and (b) advancing\u00a0computing sciences inspired by challenges in engineering; social, health &amp; management sciences; and the arts.\u00a0<span>A federated entity at the crossroads of computational research, the Institute includes\u00a0<a href=\"http:\/\/www.bu.edu\/hic\/about-hic\/centers-initiatives\/\" title=\"Centers, Initiatives &amp; Labs\">centers, initiatives, and labs<\/a><\/span>\u00a0that work in collaboration to support a portfolio of ambitious research projects and forward-looking educational and outreach initiatives.\n\n\n<!----><br \/>\n&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dear Bias in AI Attendees, As safety and health of the community come first,\u00a0it is with a heavy heart that we are canceling our Boston University Colloquium event on \u201cBias in AI\u201d that was scheduled for Sunday, March 22 \u2013 Monday, March 23. Boston University has been closely monitoring the news about the spread of [&hellip;]<\/p>\n","protected":false},"author":15580,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/no-sidebars.php","meta":[],"_links":{"self":[{"href":"https:\/\/sites.bu.edu\/bias-ai\/wp-json\/wp\/v2\/pages\/5"}],"collection":[{"href":"https:\/\/sites.bu.edu\/bias-ai\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.bu.edu\/bias-ai\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/bias-ai\/wp-json\/wp\/v2\/users\/15580"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/bias-ai\/wp-json\/wp\/v2\/comments?post=5"}],"version-history":[{"count":50,"href":"https:\/\/sites.bu.edu\/bias-ai\/wp-json\/wp\/v2\/pages\/5\/revisions"}],"predecessor-version":[{"id":236,"href":"https:\/\/sites.bu.edu\/bias-ai\/wp-json\/wp\/v2\/pages\/5\/revisions\/236"}],"wp:attachment":[{"href":"https:\/\/sites.bu.edu\/bias-ai\/wp-json\/wp\/v2\/media?parent=5"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}