Happening @ Michigan https://events.umich.edu/list/rss RSS Feed for Happening @ Michigan Events at the University of Michigan. From Theory to Practice: Building Ethical and Trustworthy AI (May 16, 2023 9:00am) https://events.umich.edu/event/106881 106881-21814961@events.umich.edu Event Begins: Tuesday, May 16, 2023 9:00am
Location: Lurie Robert H. Engin. Ctr
Organized By: Michigan Institute for Data Science

Every day, whether we realize it or not, we are constantly surrounded by AI technology. From self-driving cars, to facial recognition software, fraud prevention models, recommender systems, ChatGPT, etc., AI is rapidly transforming our lives. But do we fully comprehend the real range of potential ethical implications related to its use and regulation? This event will stimulate ideas and investigation into that question by bringing together academics, leaders and scientists in the private sector and policy regulation areas, to share their knowledge and discuss ethical challenges and trends in AI regulation, along with cutting-edge theory and implementation of ethical and transparent AI models. The event is free and open to all who develop AI methods, are current or future users of AI, or are curious about how AI will shape research and our society.

Organizers: as a facilitator of the development and application of data science (DS) and AI techniques for the broad U-M data science community, MIDAS is also imbued with the mission of promoting ethical research. In fact, one of the five research pillars that MIDAS supports is ‘Responsible Research’, focused on enhancing the scientific and societal impact of DS and AI, which takes place especially through fomenting the discussion and expansion of the Ethical AI field. On the other hand, as a prominent player in the private sector, Rocket Companies constantly strive for learning and applying responsible cutting-edge tools in AI. Joined with a common interest in the Ethical AI field, MIDAS and Rocket Companies are inviting you to share your views and learn together about breakthroughs and pressing issues regarding ethical AI.

Keynote presentations:

"Recognizing and Eliminating Harmful Biases in AI for Healthcare" with Jenna Wiens, Associate Professor of Computer Science and Engineering, University of Michigan

“Evaluation and Values in Machine Learning and NLP” with Dallas Card, Assistant Professor, School of Information, University of Michigan

"AI policy in US and EU" with Merve Hickok, President @ Center for AI & Digital Policy


For full schedule, please visit: https://midas.umich.edu/building-ethical-ai/

Sponsored by:
Rocket Companies, Inc.
Ethics, Society, and Computing

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Conference / Symposium Tue, 16 May 2023 13:34:29 -0400 2023-05-16T09:00:00-04:00 2023-05-16T17:00:00-04:00 Lurie Robert H. Engin. Ctr Michigan Institute for Data Science Conference / Symposium AI generated image, DALL-E
“Translational Bioethics Research: Improving Pediatric Tracheostomy Shared Decision-Making at the Bedside” (June 28, 2023 12:00pm) https://events.umich.edu/event/108856 108856-21820485@events.umich.edu Event Begins: Wednesday, June 28, 2023 12:00pm
Location: Off Campus Location
Organized By: Center for Bioethics and Social Sciences in Medicine (CBSSM)

Tracheostomy decisions for pediatric patients are often complex, high-stakes, and have serious implications for patients and families. Because of the nature of these decisions, a shared decision-making approach is recommended, to incorporate medical information and the patient’s/family’s values into decision-making. Parents facing these decisions must consider their child’s quality of life, as well as the impact on themselves and their other children. Despite the gravity of these clinical situations, little is known about how decision-making around pediatric tracheostomy occurs in practice. In this session, we will discuss the challenges of medical decision-making around pediatric tracheostomy identified by surveys of parents and staff, as well as interventions to improve shared decision-making in these contexts based on these findings.

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Lecture / Discussion Thu, 22 Jun 2023 15:35:05 -0400 2023-06-28T12:00:00-04:00 2023-06-28T13:00:00-04:00 Off Campus Location Center for Bioethics and Social Sciences in Medicine (CBSSM) Lecture / Discussion ad
Generative AI Coast-to-Coast Webinar Series (August 8, 2023 2:00pm) https://events.umich.edu/event/109575 109575-21822316@events.umich.edu Event Begins: Tuesday, August 8, 2023 2:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Are you wondering how Generative AI can boost your research productivity and help you with literature search, code writing, hypothesis generation, data query, and other things in your projects?

Join us to hear from prominent researchers who are using Generative AI to accelerate their research, and their thoughts on ethical and technical issues with Generative AI when used in research.

Each webinar will include extensive audience discussion time.

Participating institutions include Johns Hopkins University; the Ohio State University; Rice University; the International Computer Science Institute at the University of California, Berkeley; University of Michigan; and the University of Washington.

More information on our event page: https://midas.umich.edu/generative-ai-c2c/

Generative AI in Healthcare and Public Health
August 8, 2023
2:00 - 3:30PM Eastern

Speakers:
Mark Dredze, John C Malone Professor of Computer Science, John Hopkins University; Director of Research (Foundations of AI), JHU AI-X Foundry.
Topic: Large Language Models in Medicine: Opportunities and Challenges

Abraham D. Flaxman, Associate Professor of Global Health, Institute for Health Metrics and Evaluation (IHME), University of Washington
Topic: Generative AI in Global Health Metrics: opportunities and risks in natural language processing, AI-assisted data analysis, and simulation modeling

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Generative AI in the Lab
August 23, 2023,
1:00 - 2:30PM Eastern

Speakers:
Xia Ning, Professor, Biomedical Informatics, Computer Science and Engineering, the Ohio State University
Topic: Generative AI for Drug Discovery

Arlei Silva, Assistance Professor, Computer Science, Rice University
Topic: Generative Models for Graph Data: Challenges and Opportunities

Registration: https://umich.zoom.us/webinar/register/WN_xoxgdbQmRlWA5_KToOc4bg#/registration
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Policy, Ethics, and Generative AI
August 28, 2023
1:00 - 2:30PM Eastern

Speakers:
Marjory Blumenthal, External Fellow, International Computer Science Institute – University of California, Berkeley

Merve Hickok, School of Information – University of Michigan; President, Center for AI & Digital Policy; Founder, AIethicist.org

Registration: https://umich.zoom.us/webinar/register/WN_7sjViomvRQajFdyn0XNczQ#/registration

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An Under the Hood Look at Generative AI: Potentials and Pitfalls
August 31, 2023
3:00 - 4:30 PM Eastern

Speakers:
David Evan Harris, Senior Research Fellow, International Computer Science Institute – University of California, Berkeley
Topic: Generative AI – What Could go wrong?

Rada Mihalcea, Janice M Jenkins Collegiate Professor of Electrical Engineering and Computer Science; Director, Michigan Artificial Intelligence Laboratory; University of Michigan
Topic: Moving beyond one-size-fits-all in generative AI

Registration: https://umich.zoom.us/webinar/register/WN_VeUcghN0T8GOsgo8vau0kA#/registration

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Workshop / Seminar Thu, 17 Aug 2023 15:00:39 -0400 2023-08-08T14:00:00-04:00 2023-08-08T15:30:00-04:00 Off Campus Location Michigan Institute for Data Science Workshop / Seminar Generative AI Coast-to-Coast Webinar Series cover image
Generative AI Coast-to-Coast Webinar Series (August 23, 2023 1:00pm) https://events.umich.edu/event/109575 109575-21822317@events.umich.edu Event Begins: Wednesday, August 23, 2023 1:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Are you wondering how Generative AI can boost your research productivity and help you with literature search, code writing, hypothesis generation, data query, and other things in your projects?

Join us to hear from prominent researchers who are using Generative AI to accelerate their research, and their thoughts on ethical and technical issues with Generative AI when used in research.

Each webinar will include extensive audience discussion time.

Participating institutions include Johns Hopkins University; the Ohio State University; Rice University; the International Computer Science Institute at the University of California, Berkeley; University of Michigan; and the University of Washington.

More information on our event page: https://midas.umich.edu/generative-ai-c2c/

Generative AI in Healthcare and Public Health
August 8, 2023
2:00 - 3:30PM Eastern

Speakers:
Mark Dredze, John C Malone Professor of Computer Science, John Hopkins University; Director of Research (Foundations of AI), JHU AI-X Foundry.
Topic: Large Language Models in Medicine: Opportunities and Challenges

Abraham D. Flaxman, Associate Professor of Global Health, Institute for Health Metrics and Evaluation (IHME), University of Washington
Topic: Generative AI in Global Health Metrics: opportunities and risks in natural language processing, AI-assisted data analysis, and simulation modeling

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Generative AI in the Lab
August 23, 2023,
1:00 - 2:30PM Eastern

Speakers:
Xia Ning, Professor, Biomedical Informatics, Computer Science and Engineering, the Ohio State University
Topic: Generative AI for Drug Discovery

Arlei Silva, Assistance Professor, Computer Science, Rice University
Topic: Generative Models for Graph Data: Challenges and Opportunities

Registration: https://umich.zoom.us/webinar/register/WN_xoxgdbQmRlWA5_KToOc4bg#/registration
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Policy, Ethics, and Generative AI
August 28, 2023
1:00 - 2:30PM Eastern

Speakers:
Marjory Blumenthal, External Fellow, International Computer Science Institute – University of California, Berkeley

Merve Hickok, School of Information – University of Michigan; President, Center for AI & Digital Policy; Founder, AIethicist.org

Registration: https://umich.zoom.us/webinar/register/WN_7sjViomvRQajFdyn0XNczQ#/registration

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An Under the Hood Look at Generative AI: Potentials and Pitfalls
August 31, 2023
3:00 - 4:30 PM Eastern

Speakers:
David Evan Harris, Senior Research Fellow, International Computer Science Institute – University of California, Berkeley
Topic: Generative AI – What Could go wrong?

Rada Mihalcea, Janice M Jenkins Collegiate Professor of Electrical Engineering and Computer Science; Director, Michigan Artificial Intelligence Laboratory; University of Michigan
Topic: Moving beyond one-size-fits-all in generative AI

Registration: https://umich.zoom.us/webinar/register/WN_VeUcghN0T8GOsgo8vau0kA#/registration

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Workshop / Seminar Thu, 17 Aug 2023 15:00:39 -0400 2023-08-23T13:00:00-04:00 2023-08-23T14:30:00-04:00 Off Campus Location Michigan Institute for Data Science Workshop / Seminar Generative AI Coast-to-Coast Webinar Series cover image
Generative AI Coast-to-Coast Webinar Series (August 28, 2023 1:00pm) https://events.umich.edu/event/109575 109575-21822318@events.umich.edu Event Begins: Monday, August 28, 2023 1:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Are you wondering how Generative AI can boost your research productivity and help you with literature search, code writing, hypothesis generation, data query, and other things in your projects?

Join us to hear from prominent researchers who are using Generative AI to accelerate their research, and their thoughts on ethical and technical issues with Generative AI when used in research.

Each webinar will include extensive audience discussion time.

Participating institutions include Johns Hopkins University; the Ohio State University; Rice University; the International Computer Science Institute at the University of California, Berkeley; University of Michigan; and the University of Washington.

More information on our event page: https://midas.umich.edu/generative-ai-c2c/

Generative AI in Healthcare and Public Health
August 8, 2023
2:00 - 3:30PM Eastern

Speakers:
Mark Dredze, John C Malone Professor of Computer Science, John Hopkins University; Director of Research (Foundations of AI), JHU AI-X Foundry.
Topic: Large Language Models in Medicine: Opportunities and Challenges

Abraham D. Flaxman, Associate Professor of Global Health, Institute for Health Metrics and Evaluation (IHME), University of Washington
Topic: Generative AI in Global Health Metrics: opportunities and risks in natural language processing, AI-assisted data analysis, and simulation modeling

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Generative AI in the Lab
August 23, 2023,
1:00 - 2:30PM Eastern

Speakers:
Xia Ning, Professor, Biomedical Informatics, Computer Science and Engineering, the Ohio State University
Topic: Generative AI for Drug Discovery

Arlei Silva, Assistance Professor, Computer Science, Rice University
Topic: Generative Models for Graph Data: Challenges and Opportunities

Registration: https://umich.zoom.us/webinar/register/WN_xoxgdbQmRlWA5_KToOc4bg#/registration
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Policy, Ethics, and Generative AI
August 28, 2023
1:00 - 2:30PM Eastern

Speakers:
Marjory Blumenthal, External Fellow, International Computer Science Institute – University of California, Berkeley

Merve Hickok, School of Information – University of Michigan; President, Center for AI & Digital Policy; Founder, AIethicist.org

Registration: https://umich.zoom.us/webinar/register/WN_7sjViomvRQajFdyn0XNczQ#/registration

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An Under the Hood Look at Generative AI: Potentials and Pitfalls
August 31, 2023
3:00 - 4:30 PM Eastern

Speakers:
David Evan Harris, Senior Research Fellow, International Computer Science Institute – University of California, Berkeley
Topic: Generative AI – What Could go wrong?

Rada Mihalcea, Janice M Jenkins Collegiate Professor of Electrical Engineering and Computer Science; Director, Michigan Artificial Intelligence Laboratory; University of Michigan
Topic: Moving beyond one-size-fits-all in generative AI

Registration: https://umich.zoom.us/webinar/register/WN_VeUcghN0T8GOsgo8vau0kA#/registration

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Workshop / Seminar Thu, 17 Aug 2023 15:00:39 -0400 2023-08-28T13:00:00-04:00 2023-08-28T14:30:00-04:00 Off Campus Location Michigan Institute for Data Science Workshop / Seminar Generative AI Coast-to-Coast Webinar Series cover image
Generative AI Coast-to-Coast Webinar Series (August 31, 2023 3:00pm) https://events.umich.edu/event/109575 109575-21822319@events.umich.edu Event Begins: Thursday, August 31, 2023 3:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Are you wondering how Generative AI can boost your research productivity and help you with literature search, code writing, hypothesis generation, data query, and other things in your projects?

Join us to hear from prominent researchers who are using Generative AI to accelerate their research, and their thoughts on ethical and technical issues with Generative AI when used in research.

Each webinar will include extensive audience discussion time.

Participating institutions include Johns Hopkins University; the Ohio State University; Rice University; the International Computer Science Institute at the University of California, Berkeley; University of Michigan; and the University of Washington.

More information on our event page: https://midas.umich.edu/generative-ai-c2c/

Generative AI in Healthcare and Public Health
August 8, 2023
2:00 - 3:30PM Eastern

Speakers:
Mark Dredze, John C Malone Professor of Computer Science, John Hopkins University; Director of Research (Foundations of AI), JHU AI-X Foundry.
Topic: Large Language Models in Medicine: Opportunities and Challenges

Abraham D. Flaxman, Associate Professor of Global Health, Institute for Health Metrics and Evaluation (IHME), University of Washington
Topic: Generative AI in Global Health Metrics: opportunities and risks in natural language processing, AI-assisted data analysis, and simulation modeling

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Generative AI in the Lab
August 23, 2023,
1:00 - 2:30PM Eastern

Speakers:
Xia Ning, Professor, Biomedical Informatics, Computer Science and Engineering, the Ohio State University
Topic: Generative AI for Drug Discovery

Arlei Silva, Assistance Professor, Computer Science, Rice University
Topic: Generative Models for Graph Data: Challenges and Opportunities

Registration: https://umich.zoom.us/webinar/register/WN_xoxgdbQmRlWA5_KToOc4bg#/registration
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Policy, Ethics, and Generative AI
August 28, 2023
1:00 - 2:30PM Eastern

Speakers:
Marjory Blumenthal, External Fellow, International Computer Science Institute – University of California, Berkeley

Merve Hickok, School of Information – University of Michigan; President, Center for AI & Digital Policy; Founder, AIethicist.org

Registration: https://umich.zoom.us/webinar/register/WN_7sjViomvRQajFdyn0XNczQ#/registration

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An Under the Hood Look at Generative AI: Potentials and Pitfalls
August 31, 2023
3:00 - 4:30 PM Eastern

Speakers:
David Evan Harris, Senior Research Fellow, International Computer Science Institute – University of California, Berkeley
Topic: Generative AI – What Could go wrong?

Rada Mihalcea, Janice M Jenkins Collegiate Professor of Electrical Engineering and Computer Science; Director, Michigan Artificial Intelligence Laboratory; University of Michigan
Topic: Moving beyond one-size-fits-all in generative AI

Registration: https://umich.zoom.us/webinar/register/WN_VeUcghN0T8GOsgo8vau0kA#/registration

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Workshop / Seminar Thu, 17 Aug 2023 15:00:39 -0400 2023-08-31T15:00:00-04:00 2023-08-31T16:30:00-04:00 Off Campus Location Michigan Institute for Data Science Workshop / Seminar Generative AI Coast-to-Coast Webinar Series cover image
"Why a Privacy First Approach to Technology Policy is better than a Censorship First Approach" (September 21, 2023 6:00pm) https://events.umich.edu/event/112179 112179-21828551@events.umich.edu Event Begins: Thursday, September 21, 2023 6:00pm
Location: Palmer Commons
Organized By: Michigan Institute for Data Science

About: Cindy Cohn is the Executive Director of the Electronic Frontier Foundation. From 2000-2015 she served as EFF’s Legal Director as well as its General Counsel. Ms. Cohn first became involved with EFF in 1993, when EFF asked her to serve as the outside lead attorney in Bernstein v. Dept. of Justice, the successful First Amendment challenge to the U.S. export restrictions on cryptography.

Ms. Cohn has been named to TheNonProfitTimes 2020 Power & Influence TOP 50 list, honoring 2020's movers and shakers. In 2018, Forbes included Ms. Cohn as one of America's Top 50 Women in Tech. The National Law Journal named Ms. Cohn one of 100 most influential lawyers in America in 2013, noting: "[I]f Big Brother is watching, he better look out for Cindy Cohn." She was also named in 2006 for "rushing to the barricades wherever freedom and civil liberties are at stake online." In 2007 the National Law Journal named her one of the 50 most influential women lawyers in America. In 2010 the Intellectual Property Section of the State Bar of California awarded her its Intellectual Property Vanguard Award and in 2012 the Northern California Chapter of the Society of Professional Journalists awarded her the James Madison Freedom of Information Award.

Background: Ms. Cohn is a graduate of the University of Michigan Law School. She did her undergraduate studies at the University of Iowa and the London School of Economics. For 10 years prior to joining the EFF, she was a civil litigator in private practice handling technology-related cases. Before starting private practice, she worked for a year at the United Nations Centre for Human Rights in Geneva, Switzerland. Ms. Cohn also served as counsel to the plaintiffs in Bowoto v. Chevron, two lawsuits in San Francisco arising from Chevron’s involvement in human rights abuses against environmental protesters in Nigeria.

About EFF: The Electronic Frontier Foundation is the leading nonprofit organization defending civil liberties in the digital world. Founded in 1990, EFF champions user privacy, free expression, and innovation through impact litigation, policy analysis, grassroots activism, and technology development. EFF's mission is to ensure that technology supports freedom, justice, and innovation for all people of the world.

Co-organized with the Dissonance Event Series: https://safecomputing.umich.edu/events/dissonance

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Lecture / Discussion Fri, 15 Sep 2023 14:46:18 -0400 2023-09-21T18:00:00-04:00 2023-09-21T19:00:00-04:00 Palmer Commons Michigan Institute for Data Science Lecture / Discussion Wall of security cameras
CPR and the DNAR Order in Older Adults: Historical Development, Modern Outcomes, and Ethical Challenges (September 27, 2023 12:00pm) https://events.umich.edu/event/112456 112456-21828958@events.umich.edu Event Begins: Wednesday, September 27, 2023 12:00pm
Location: Off Campus Location
Organized By: Center for Bioethics and Social Sciences in Medicine (CBSSM)

Developed in 1960, cardiopulmonary resuscitation (CPR) was quickly and widely adopted by the medical profession as a critical life-saving procedure. Given that all end-stage disease processes ultimately result in cardiopulmonary arrest at the end of one’s life, however, CPR was sometimes applied in non-beneficial circumstances or even against patients’ wishes. Originally devised to protect patients from unwanted CPR, the DNAR order is now sometimes unilaterally applied against patients’ or surrogates’ wishes when CPR is felt to be medically non-beneficial. In this presentation, we will explore the historical background surrounding CPR and the DNAR order, examine recent data regarding CPR outcomes specific to older adults, and discuss some of the related ethical challenges, particularly pertaining to the unilateral DNAR order.

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Lecture / Discussion Fri, 15 Sep 2023 11:23:04 -0400 2023-09-27T12:00:00-04:00 2023-09-27T13:00:00-04:00 Off Campus Location Center for Bioethics and Social Sciences in Medicine (CBSSM) Lecture / Discussion Event ad
LHS Collaboratory (September 27, 2023 12:00pm) https://events.umich.edu/event/109037 109037-21820764@events.umich.edu Event Begins: Wednesday, September 27, 2023 12:00pm
Location: Palmer Commons
Organized By: Department of Learning Health Sciences

Theme: Putting Artificial Intelligence and Machine Learning into Practice

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Lecture / Discussion Sun, 09 Jul 2023 18:39:17 -0400 2023-09-27T12:00:00-04:00 2023-09-27T14:15:00-04:00 Palmer Commons Department of Learning Health Sciences Lecture / Discussion LHS Collaboratory logo
Oral Health Sciences Seminar Series (October 17, 2023 12:00pm) https://events.umich.edu/event/113273 113273-21830644@events.umich.edu Event Begins: Tuesday, October 17, 2023 12:00pm
Location: Dental & W.K. Kellogg Institute
Organized By: Office of Research School of Dentistry

W. Murray Thomson FRSNZ
Emeritus Professor (Dental Epidemiology and Public Health)
Editor-in-Chief, Gerodontology
Faculty of Dentistry
The University of Otago
Dunedin, New Zealand

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Workshop / Seminar Thu, 28 Sep 2023 14:17:09 -0400 2023-10-17T12:00:00-04:00 2023-10-17T13:00:00-04:00 Dental & W.K. Kellogg Institute Office of Research School of Dentistry Workshop / Seminar W. Murray Thomson FRSNZ
LHS Collaboratory (October 18, 2023 11:30am) https://events.umich.edu/event/112750 112750-21829504@events.umich.edu Event Begins: Wednesday, October 18, 2023 11:30am
Location: Palmer Commons
Organized By: Department of Learning Health Sciences

Speaker:
Ewout W. Steyerberg, PhD
Professor of Clinical Biostatistics & Medical Decision Making, Chair, Dept of Biomedical Data Sciences
Leiden University Medical Center, The Netherlands

Clinical prediction models aim to predict a person’s risk of an outcome (e.g. complications, mortality) given their observed characteristics (1). Risk predictions are traditionally derived from regression models. Artificial Intelligence, and specifically Machine Learning methods, are gaining interest to develop predictive algorithms. Predictions from classic models or AI algorithms need to be reliable to provide valid support for tasks such as shared decision making and whether a person should initiate a particular treatment.
The aim of this talk is to review recent developments in prediction model development and validation. Illustrations will be provided from different medical applications. Trustworthiness will be discussed in relation to the statistical aspects -such as sample size and the exceptionality of patients-, model uncertainty, and heterogeneity between contexts of practical application.

References
1. Steyerberg EW. Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating. 2nd ed. Springer International Publishing; 2019. (Statistics for Biology and Health). Available from: https://www.springer.com/gp/book/9783030163983

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Lecture / Discussion Tue, 19 Sep 2023 21:08:38 -0400 2023-10-18T11:30:00-04:00 2023-10-18T13:00:00-04:00 Palmer Commons Department of Learning Health Sciences Lecture / Discussion LHS Collaboratory logo
Oral Health Sciences Seminar Series (October 19, 2023 12:00pm) https://events.umich.edu/event/113689 113689-21831457@events.umich.edu Event Begins: Thursday, October 19, 2023 12:00pm
Location: Dental & W.K. Kellogg Institute
Organized By: Office of Research School of Dentistry

Jianping Fu, Ph.D.
Professor of Mechanical Engineering
Adjunct: Biomedical Engineering, Cell & Developmental Biology
University of Michigan

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Workshop / Seminar Mon, 09 Oct 2023 09:24:34 -0400 2023-10-19T12:00:00-04:00 2023-10-19T13:00:00-04:00 Dental & W.K. Kellogg Institute Office of Research School of Dentistry Workshop / Seminar Jianping Fu, Ph.D.
LHS Collaboratory (November 21, 2023 12:00pm) https://events.umich.edu/event/114252 114252-21832563@events.umich.edu Event Begins: Tuesday, November 21, 2023 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

“Learning Without Borders: AI's Dual Path in Veterans
and Global Health”
Speaker:
Akbar Waljee, MD, MSc, AGAF
Professor, Learning Health Sciences
Professor, Department of Internal Medicine, Gastroenterology & Hepatology

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Lecture / Discussion Thu, 19 Oct 2023 20:59:33 -0400 2023-11-21T12:00:00-05:00 2023-11-21T13:30:00-05:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion LHS Collaboratory logo
LHS Collaboratory (December 12, 2023 12:00pm) https://events.umich.edu/event/115276 115276-21834368@events.umich.edu Event Begins: Tuesday, December 12, 2023 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Don't miss this virtual session!
Our invited speaker is Peter J. Embi, MD, MS, FACP, FACMI, FAMIA, FIAHSI.
Dr. Embi is a Professor and the Chair Department of Biomedical Informatics, the Senior Vice President for Research and Innovation, and a Professor of Medicine at Vanderbilt University.
Please register in advance for this virtual session!

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Livestream / Virtual Thu, 16 Nov 2023 00:11:43 -0500 2023-12-12T12:00:00-05:00 2023-12-12T13:30:00-05:00 Off Campus Location Department of Learning Health Sciences Livestream / Virtual LHS Collaboratory logo
Understanding Osteoarthritis Pathogenesis using high throughput omic approaches. (January 18, 2024 12:00pm) https://events.umich.edu/event/116439 116439-21836824@events.umich.edu Event Begins: Thursday, January 18, 2024 12:00pm
Location: Dental & W.K. Kellogg Institute
Organized By: Office of Research School of Dentistry

Osteoarthritis (OA) is among the most prevalent chronic human health disorders and the most common form of
arthritis. Specific mechanisms associated with the joint destruction during OA are largely unknown. Due to the
lack of biomarkers, it is impossible to identify patients exhibiting early stages of OA, leading to severe joint
destruction. Furthermore, due to poor understanding of the underlying disease mechanisms, no approved
disease-modifying therapies to treat OA exist. Therefore, early detection and early intervention is critical to
restore joint functions.
My translational research program is directed towards:
(1) Understanding the complex cellular and molecular mechanisms associated with joint destruction during
osteoarthritis
(2) Identifying reliable biomarkers for early identification of patients with osteoarthritis to enable early
intervention using our large-scale OA biobank that we have created (over 150,000 banked specimens)
(3) Identifying novel therapeutic targets to stop/delay osteoarthritis and restore joint function

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Workshop / Seminar Tue, 02 Jan 2024 09:16:22 -0500 2024-01-18T12:00:00-05:00 2024-01-18T13:00:00-05:00 Dental & W.K. Kellogg Institute Office of Research School of Dentistry Workshop / Seminar Mohit Kapoor, PhD Co-Director, Schroeder Arthritis Institute
Privacy@Michigan Keynote - The Economics of Privacy at a Crossroads (January 31, 2024 4:30pm) https://events.umich.edu/event/117760 117760-21839982@events.umich.edu Event Begins: Wednesday, January 31, 2024 4:30pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Dr. Alessandro Acquisti, Trustees Professor of Information Technology and Public Policy at Carnegie Mellon University's Heinz College, and the co-director of the CMU Center for Behavioral Decision Research (CBDR), will deliver a presentation on the economics of privacy in the context of augmenting economic arguments with non-economic considerations in order to address the broad concept of privacy.

Dr. Acquisti will discuss how the economics of privacy could expand its horizons and relevance both by considering economic dimensions and research questions that have so far received limited attention, and by accounting for the broader scholarship on privacy coming from other disciplines. As a complement to the contributions of other fields, rather than a substitute for them, the economics of privacy may keep thriving and remain a useful tool for debate and policy making.

Dr. Andrea Forte, Professor of Information and Dean of the University of Michigan School of Information, will deliver opening remarks.

Dr. Florian Schaub, Associate Professor of Information, School of Information, and Associate Professor of Electrical Engineering and Computer Science, College of Engineering, will facilitate a panel discussion including Dr. Nazanin Andalibi, U-M Assistant Professor of Information, School of Information and Assistant Professor of Digital Studies Institute, College of LSA and Dr. Kirsten Martin, William P. and Hazel B. White Professor of Technology Ethics and is Professor of IT, Analytics, and Operations in the Mendoza College of Business at the University of Notre Dame, after the presentation.

The event is free and open to the public.

Enter the Zoom Webinar, beginning at 4:30pm, January 31: https://umich.zoom.us/j/94561914426

Add it to your Google calendar and share with anyone who may be interested in attending: https://calendar.google.com/calendar/u/0/r/eventedit/copy/MWpnbzN1MXRsMmozN3U1c3Bqa2d0Mm84dGYgdW1pY2guZWR1X2ZkczI0Z2V2cGE0MnY5NTc2bG5wZTJjbWxrQGc

ADDITIONAL INFORMATION:
Privacy@Michigan: https://safecomputing.umich.edu/economics-privacy-crossroads

Dr. Alessandro Acquisti: https://www.heinz.cmu.edu/faculty-research/profiles/acquisti-alessandro

Dr. Andrea Forte:
https://www.si.umich.edu/about-umsi/news/get-know-andrea-forte-new-dean-school-information

PANELISTS
Dr. Nazanin Andalibi:
https://www.si.umich.edu/people/nazanin-andalibi
Dr. Kirsten Martin:
https://kirstenmartin.net/

MODERATOR
Dr. Florian Schaub:
https://www.si.umich.edu/people/florian-schaub

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Lecture / Discussion Wed, 24 Jan 2024 16:10:28 -0500 2024-01-31T16:30:00-05:00 2024-01-31T17:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Lecture / Discussion Block M and the words "University of Michigan." Privacy at Michigan, the economics of privacy at a crossroads, a privacy day discussion with doctor Alessandro Acquisti, webinar, Wednesday, January 31, 4:30 to 5:30 P.M. @umich tech
Data and AI Intensive Research with Rigor and Reproducibility (DAIR³) Training Program 2024 (February 2, 2024 11:00am) https://events.umich.edu/event/116787 116787-21837996@events.umich.edu Event Begins: Friday, February 2, 2024 11:00am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

About the program: Learn cutting-edge data science and Artificial Intelligence (AI) methods for biomedical and healthcare research, ensure the rigor and reproducibility of your projects, and network with fellow attendees from around the country!

Supported by the National Institutes of Health, the Data and AI Intensive Research with Rigor and Reproducibility (DAIR³) training program will be led by faculty and researchers from the University of Michigan, the College of William and Mary, Jackson State University, and University of Texas San Antonio; and cover the following:

- Ethical issues in biomedical data science
- Data management, representation, and sharing
- Rigorous analytical design
- The design and reporting of AI models
- Reproducible workflows
- Assessing findings across studies
- Transformer-based AI for biomedical research

Who should attend: university faculty members at any career level, and
research scientists (staff, advanced postdocs and PhD students).

Want to learn more? Join us for a virtual Q&A session! Members of the DAIR³ program team will be available to answer questions about the program, the application process, and more.

First session: Fri., Feb 2 @ 11:00 AM Eastern
Second session: Tues., Feb 6 @ 3:00 PM Eastern

Visit https://midas.umich.edu/dair-3/ for Zoom details.

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Livestream / Virtual Tue, 09 Jan 2024 14:06:26 -0500 2024-02-02T11:00:00-05:00 2024-02-02T12:00:00-05:00 Off Campus Location Michigan Institute for Data Science Livestream / Virtual
Data and AI Intensive Research with Rigor and Reproducibility (DAIR³) Training Program 2024 (February 6, 2024 3:00pm) https://events.umich.edu/event/116787 116787-21837997@events.umich.edu Event Begins: Tuesday, February 6, 2024 3:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

About the program: Learn cutting-edge data science and Artificial Intelligence (AI) methods for biomedical and healthcare research, ensure the rigor and reproducibility of your projects, and network with fellow attendees from around the country!

Supported by the National Institutes of Health, the Data and AI Intensive Research with Rigor and Reproducibility (DAIR³) training program will be led by faculty and researchers from the University of Michigan, the College of William and Mary, Jackson State University, and University of Texas San Antonio; and cover the following:

- Ethical issues in biomedical data science
- Data management, representation, and sharing
- Rigorous analytical design
- The design and reporting of AI models
- Reproducible workflows
- Assessing findings across studies
- Transformer-based AI for biomedical research

Who should attend: university faculty members at any career level, and
research scientists (staff, advanced postdocs and PhD students).

Want to learn more? Join us for a virtual Q&A session! Members of the DAIR³ program team will be available to answer questions about the program, the application process, and more.

First session: Fri., Feb 2 @ 11:00 AM Eastern
Second session: Tues., Feb 6 @ 3:00 PM Eastern

Visit https://midas.umich.edu/dair-3/ for Zoom details.

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Livestream / Virtual Tue, 09 Jan 2024 14:06:26 -0500 2024-02-06T15:00:00-05:00 2024-02-06T16:00:00-05:00 Off Campus Location Michigan Institute for Data Science Livestream / Virtual
“Lessons from fibrodysplasia ossificans progressiva (FOP): rethinking ACVR1-mediated signaling and its physiological roles” (February 8, 2024 12:00pm) https://events.umich.edu/event/117971 117971-21840254@events.umich.edu Event Begins: Thursday, February 8, 2024 12:00pm
Location: Dental & W.K. Kellogg Institute
Organized By: Office of Research School of Dentistry

I lead a group 8 scientists in the Skeletal/Connective Tissue Diseases Therapeutic Focus Area at Regeneron. Using Velocimmune mice and other antibody technologies my team develops reagents and bioassays for the screening and selection of therapeutic antibodies and other engineered biomolecules. We also leverage human genetics for target discovery by functionally model disease associated variants in vitro and in vivo. Our work to understand the molecular mechanism of ACVR1 mutations in Fibrodysplasia Ossificans Progressiva (FOP) demonstrated that Activin A is both a necessary and sufficient driver of Heterotopic ossification in FOP using an anti-Activin A blocking antibody prevented heterotopic bone formation in a ‘genetically accurate’ mouse model of FOP. Regeneron has completed Phase II trials and is in Phase I studies in FOP.

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Workshop / Seminar Mon, 29 Jan 2024 09:13:17 -0500 2024-02-08T12:00:00-05:00 2024-02-08T13:00:00-05:00 Dental & W.K. Kellogg Institute Office of Research School of Dentistry Workshop / Seminar Vincent Idone, Ph.D.
"Palliative Sedation: Consensus and Controversies" (February 28, 2024 12:00pm) https://events.umich.edu/event/118851 118851-21841808@events.umich.edu Event Begins: Wednesday, February 28, 2024 12:00pm
Location: Off Campus Location
Organized By: Center for Bioethics and Social Sciences in Medicine (CBSSM)

Palliative sedation is a comfort measure at the end of life reserved for those individuals whose suffering cannot be otherwise managed. While first described in the literature over 40 years ago, palliative sedation remains widely misunderstood by the larger medical community and may be perceived as a means by which death can be hastened in jurisdictions where medical aid in dying is not available. In this lecture, Dr. Marks will provide a case-based discussion of palliative sedation, including the criteria necessary for ethically appropriate practice and how some are advocating for so-called “expanded use” of palliative sedation in end of life care.

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Lecture / Discussion Wed, 14 Feb 2024 10:18:57 -0500 2024-02-28T12:00:00-05:00 2024-02-28T13:00:00-05:00 Off Campus Location Center for Bioethics and Social Sciences in Medicine (CBSSM) Lecture / Discussion Bioethics grand rounds-FEB
1984 - Free 40th Anniversary Screening at the Michigan Theater (March 6, 2024 5:30pm) https://events.umich.edu/event/118821 118821-21841772@events.umich.edu Event Begins: Wednesday, March 6, 2024 5:30pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Privacy@Michigan is hosting a free screening of the 1984 film adaptation of George Orwell’s “1984” at the Michigan Theater on March 6, 2024 starting at 5:30 pm. Admission is free and the screening is open to the general public.

Location: The Michigan Theater - 603 E Liberty St, Ann Arbor, MI 48104

ABOUT THE FILM
Based on the classic George Orwell novel, director Michael Radford’s version of 1984 was released during the book’s titular year. The Criterion Collection describes Radford’s 1984 as “The definitive film adaptation of George Orwell’s prophetic literary classic, starring John Hurt and Richard Burton. This masterly adaptation of George Orwell’s chilling parable about totalitarian oppression gives harrowing cinematic expression to the book’s prophetic dystopia. In a rubble-strewn surveillance state where an endless overseas war props up the repressive regime of the all-seeing Big Brother, and all dissent is promptly squashed, a profoundly alienated citizen, Winston Smith (thrillingly played by John Hurt), risks everything for an illicit affair with the rebellious Julia (Suzanna Hamilton), defiantly asserting his humanity in the face of soul-crushing conformity. Through vividly grim production design and expressionistically desaturated cinematography by Roger Deakins, Michael Radford’s 1984 conjures a bleak vision of postwar Britain as fascistic nightmare — a world all too recognizable as our own."

A discussion of the film, featuring U-M faculty, will accompany the screening.

Event Website: https://safecomputing.umich.edu/events/Privacy-at-Michigan/1984-40th-anniversary-screening

Michigan Theater: http://michtheater.org/

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Film Screening Tue, 13 Feb 2024 13:17:54 -0500 2024-03-06T17:30:00-05:00 2024-03-06T20:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Film Screening Image of original 1984 movie poster - It's your turn to watch big brother.
Toward a Firearms Justice Framework: Lessons from Reproductive Justice in the Effort to Mitigate the Health Impact of Gun Violence (March 13, 2024 12:00pm) https://events.umich.edu/event/118853 118853-21841809@events.umich.edu Event Begins: Wednesday, March 13, 2024 12:00pm
Location: Taubman Biomedical Science Research Building
Organized By: Center for Bioethics and Social Sciences in Medicine (CBSSM)

This presentation will look at the role sex and gender play in evaluating firearm restrictions and developing the boundaries of the nascent Second Amendment right. Theoretical constructs based on sex stereotypes and gender hierarchy help expand the Second Amendment while simultaneously obscuring the threat this poses to women, especially those who are pregnant.

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Lecture / Discussion Fri, 23 Feb 2024 13:35:32 -0500 2024-03-13T12:00:00-04:00 2024-03-13T13:00:00-04:00 Taubman Biomedical Science Research Building Center for Bioethics and Social Sciences in Medicine (CBSSM) Lecture / Discussion Bioethics Grand Rounds March
Toward a Firearms Justice Framework: Lessons from Reproductive Justice in the Effort to Mitigate the Health Impact of Gun Violence (March 13, 2024 12:00pm) https://events.umich.edu/event/118853 118853-21842543@events.umich.edu Event Begins: Wednesday, March 13, 2024 12:00pm
Location: Off Campus Location
Organized By: Center for Bioethics and Social Sciences in Medicine (CBSSM)

This presentation will look at the role sex and gender play in evaluating firearm restrictions and developing the boundaries of the nascent Second Amendment right. Theoretical constructs based on sex stereotypes and gender hierarchy help expand the Second Amendment while simultaneously obscuring the threat this poses to women, especially those who are pregnant.

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Lecture / Discussion Fri, 23 Feb 2024 13:35:32 -0500 2024-03-13T12:00:00-04:00 2024-03-13T13:00:00-04:00 Off Campus Location Center for Bioethics and Social Sciences in Medicine (CBSSM) Lecture / Discussion Bioethics Grand Rounds March
The future of discovery in the age of human-AI collaboration (March 18, 2024 8:30am) https://events.umich.edu/event/115761 115761-21835473@events.umich.edu Event Begins: Monday, March 18, 2024 8:30am
Location: Rackham Graduate School (Horace H.)
Organized By: Michigan Institute for Data Science

What does an AI-driven future look like?

Overview: Artificial Intelligence (AI) is transforming every aspect of our society and revolutionizing academic research. Powerful new systems like Generative AI unlocks enormous potential to accelerate research, “mass produce” human knowledge, and enable humans to address previously unfathomable scientific questions and engineering challenges. Meanwhile, such potential is still largely speculative and initial successes are still limited in scope. Massive adoption of AI in science and engineering will be possible only after addressing numerous issues, and building infrastructure and capacity.

In this symposium, we bring together leading thinkers and researchers around the country to share their vision and work, in four themes.

1) Speeding Up Research – using AI to automate and accelerate research, such as experimental design optimization and accelerating the workflow.

2) The Nature of Creativity in Research – the role of the AI Researcher and the new role of the Human Researcher.

3) Trusting the AI Researcher – Upholding research rigor in AI-driven research and ensuring the validation of AI-driven discoveries, and aligning AI-driven discoveries with human values.

4) Expanding the Limit of the Human Researcher– using AI to ask previously unfathomable questions in a number of research fields.

The intended audience are researchers, trainees and the general public to this event regardless of the specific fields of their research and the focus of their intellectual pursuit.

For more information on sessions and speakers, please visit our event page: https://midas.umich.edu/ai-se-annual-symposium/

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Lecture / Discussion Thu, 29 Feb 2024 17:39:57 -0500 2024-03-18T08:30:00-04:00 2024-03-18T16:20:00-04:00 Rackham Graduate School (Horace H.) Michigan Institute for Data Science Lecture / Discussion The future of discovery in the age of human-AI collaboration
The future of discovery in the age of human-AI collaboration (March 19, 2024 9:00am) https://events.umich.edu/event/115761 115761-21835474@events.umich.edu Event Begins: Tuesday, March 19, 2024 9:00am
Location: Rackham Graduate School (Horace H.)
Organized By: Michigan Institute for Data Science

What does an AI-driven future look like?

Overview: Artificial Intelligence (AI) is transforming every aspect of our society and revolutionizing academic research. Powerful new systems like Generative AI unlocks enormous potential to accelerate research, “mass produce” human knowledge, and enable humans to address previously unfathomable scientific questions and engineering challenges. Meanwhile, such potential is still largely speculative and initial successes are still limited in scope. Massive adoption of AI in science and engineering will be possible only after addressing numerous issues, and building infrastructure and capacity.

In this symposium, we bring together leading thinkers and researchers around the country to share their vision and work, in four themes.

1) Speeding Up Research – using AI to automate and accelerate research, such as experimental design optimization and accelerating the workflow.

2) The Nature of Creativity in Research – the role of the AI Researcher and the new role of the Human Researcher.

3) Trusting the AI Researcher – Upholding research rigor in AI-driven research and ensuring the validation of AI-driven discoveries, and aligning AI-driven discoveries with human values.

4) Expanding the Limit of the Human Researcher– using AI to ask previously unfathomable questions in a number of research fields.

The intended audience are researchers, trainees and the general public to this event regardless of the specific fields of their research and the focus of their intellectual pursuit.

For more information on sessions and speakers, please visit our event page: https://midas.umich.edu/ai-se-annual-symposium/

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Lecture / Discussion Thu, 29 Feb 2024 17:39:57 -0500 2024-03-19T09:00:00-04:00 2024-03-19T16:20:00-04:00 Rackham Graduate School (Horace H.) Michigan Institute for Data Science Lecture / Discussion The future of discovery in the age of human-AI collaboration