Home Faculty and Staff Advancing New Directions (Faculty Initiative) Rackham Student AI Working Groups Program Rackham Student AI Working Groups Program In 2026, Rackham Graduate School launched the Rackham Student AI Working Groups Program to explore and contribute to the dynamic and quickly evolving use of AI in graduate education through collaborative learning in interdisciplinary working groups. Our Mission Rackham Student AI Working Groups Symposium 2026 Symposium Lightning Talks Our Mission Artificial intelligence (AI) promises to transform graduate research and education, at the same time that it is transforming personal experience and the social and material environments in which we live. Rackham Graduate School recognizes the need for increased understanding of: the current and emerging research uses of AI by graduate students; opportunities and challenges that AI poses to graduate research and education; the ways AI will reshape graduate students’ future careers; and, the resources, training, and support in AI that will be necessary to impact the public good through the scholarship, discoveries, and creative production of its students. Rackham Student AI Working Groups Symposium 2026 Back to Top On May 4, Rackham Graduate School hosted a capstone symposium to feature the research of the Rackham Student AI Working Groups Program. Organized during the winter 2026 term, the program was designed to allow students to explore and contribute to the dynamic and quickly evolving use of AI in graduate education through collaborative, interdisciplinary learning. More than 100 graduate students and postdocs participated in a total of 12 working groups. Their topics of inquiry ranged from AI’s role in teaching and research to its impact on the workforce; its ramifications for governments, public safety, and mental health; connections between AI and creative practice; and the sustainability implications of data centers, among others. Representatives from each group shared their findings in a series of lightning talks, which are listed here. Symposium Lightning Talks Back to Top Group 1: Responsible AI in Education and Teaching Presenters: Keanu Heydari (History) and Bailey Apollonio (Film, Television, and Media) Other Working Group Members: Eda Bozkurt (Architecture), Elysia Chou (Computational Medicine and Bioinformatics), Soyoung Lee (Information), John Mobley IV (Engineering Education Research Program), Onyinye Nwankwo (Climate and Space Sciences and Engineering), Nolgie Oquendo-Colón (Engineering Education Research Program), Michelle Ratering (English and Education) Group 2: Labor and Society Transformations in the Age of AI (on Campus) Presenters: Abdul Kizito (Anthropology) and Gina Hsu (Women’s and Gender Studies) Other Working Group Members: Ira Anjali Anwar (Information), Karissa Beesley (Psychology), Dili Maduabum (Economics) Group 3: Bias, Fairness, and Ethics in AI Systems Presenters: Ayushi Gupta (Data Science and Statistics) and Eric Whitmer (Musicology) Other Working Group Members: Em Buten (Engineering Education Research Program), Urvi Mehta (Data Science and Statistics), Kehinde Motunrayo Sowunmi (Germanic Languages and Literatures), Sarah Valdman (Philosophy), Jian Zhang (History) Group 4: Labor and Society Transformations in the Age of AI Presenters: Dionisius Andre Kusuma Dewa (Economics) and Joyce Lai (Electrical and Computer Engineering) Other Working Group Members: Nathan Bailey (Germanic Languages and Literatures), Hal Berdichesky (Naval Architecture and Marine Engineering), Isaac Mier (History, Anthropology, and Science, Technology and Society) Group 5: Sustainability Implications of AI-related Data Center Expansion Presenters: Wendy Palomino Alvarez (Environment and Sustainability) and María Beusterien Pereira (Romance Languages and Literatures) Other Working Group Members: Andrea Cordova-Cruzatty (Mechanical Engineering), Amelia Clark (Environment and Sustainability), Puspita Kaban (Environment and Sustainability), Tongyao Li (Public Policy), Fernando Pliego Perez (Romance Languages and Literatures), Prakriti Shukla (Urban and Regional Planning), Kaitlynn Vo (Interdepartmental Program and the Digital Studies Institute Graduate Certificate), Chenjun Yu (Higher Education) Group 6: Multi-Level Institutional Governance, Oversight, Policy, and Evaluation Presenters: Jiseon Kim (Public Policy) and Saravuth Vong (Public Policy) Other Working Group Members: Andy Buschmann (Political Science), David Gamba (Information), Austin Hegland (Communication and Media), Firas Ben Hmida (Computer and Information Science), Parker Griffith (Public Policy), Erin Leary (American Culture and Museum Studies), Sambathchatovong Na (Computer and Information Science), Xin Ye (Information) Group 7: Responsible AI in Education and Research: GenAI in Graduate Research at U-M: Practices, Trust, and Impact Presenters: Daniel Santos Perez (Pharmacy) and Sami Hadouaj (Computer and Information Science) Other Working Group Members: Nivedhitha Dondati Purushotham (Computer Science and Engineering), Joshua Ashkinaze (Information), Muttaki Bismoy (Computer and Information Science), Francesca Burkett (Earth and Environmental Science), Avishak Chakroborty (Computer and Information Science), Emmanuella Ejichukwu (Industrial and Systems Engineering), Md Abul Kalam (Computer and Information Science) Group 8: Toward Responsible and Equitable AI in Higher Ed: An Environmental Scan of AI Policy Across Health-Related Units at U-M Presenters: Izza Ahmed-Ghani (Health Management and Policy and Health Behavior and Health Equity) and Mrinaalika Sivakumar (Public Policy) Other Working Group Members: Zeinab Alghanem (Health Management and Policy), Idman Gabayre (Neural Engineering), Antonia Gitau (Epidemiology), Sophia Kiselova (Health Behavior and Health Equity), Farhia Mohamed (Nutrition), Angelica Previero (Molecular, Cellular, and Developmental Biology), Andrea Valenzuela (Chemical Biology), Cheryl Wang (Nursing) Group 9: AI and Machine Learning Applications in Oral Microbiome Analysis for Pregnancy Outcomes and Oral-Systemic Health Presenters: Adrian Ma (Operations Management), Ritwika Bera (Dentistry), and Zining Zhu (Nursing) Other Working Group Members: Collins Chimezie (Chemical Biology), Sarah Sculco (Philosophy) Group 10: Artistic and Co-Creative Applications and Challenges Presenters: Asa Zhang (English Language and Literature) and Catherine Brist (English Language and Literature) Other Working Group Members: Ambreen Ben-Shmuel (Business and Sustainability), Sam Butcher (Design Science), Kiana Cook (Dance and Performance), Kelly Hoppenjans (Musicology), Yi Liu (Environment and Sustainability), Timothy Tsang (Dance and Performance) Group 11: AI-Expanded Communication Boundaries Presenters: Álvaro Vega-Hidalgo (Computer Science and Engineering) and Hengxing Zou (Environment and Sustainability) Other Working Group Members: Colton Adams (Psychology), Ruby Guo (Psychology), Mi Huynh (Survey Methodology), Valentin Lewisch (Germanic Languages and Literatures), Charlotte Probst (Environment and Sustainability) Group 12: Bias, Fairness and Ethics in AI Systems (AI Exposure, Usage, and Perceptions Among U-M Grad Students) Presenters: Hadiza Yusuf (Computer and Information Science) and Thandiwe-Kesi Robins (Molecular and Cellular Pathology) Other Working Group Members: Manikandan Pandiyan (Mechanical Engineering), Abdul Ghaniyu-Alidu (Nursing), Simranjeet Singh (Information),
Group 1: Responsible AI in Education and Teaching Presenters: Keanu Heydari (History) and Bailey Apollonio (Film, Television, and Media) Other Working Group Members: Eda Bozkurt (Architecture), Elysia Chou (Computational Medicine and Bioinformatics), Soyoung Lee (Information), John Mobley IV (Engineering Education Research Program), Onyinye Nwankwo (Climate and Space Sciences and Engineering), Nolgie Oquendo-Colón (Engineering Education Research Program), Michelle Ratering (English and Education)
Group 2: Labor and Society Transformations in the Age of AI (on Campus) Presenters: Abdul Kizito (Anthropology) and Gina Hsu (Women’s and Gender Studies) Other Working Group Members: Ira Anjali Anwar (Information), Karissa Beesley (Psychology), Dili Maduabum (Economics)
Group 3: Bias, Fairness, and Ethics in AI Systems Presenters: Ayushi Gupta (Data Science and Statistics) and Eric Whitmer (Musicology) Other Working Group Members: Em Buten (Engineering Education Research Program), Urvi Mehta (Data Science and Statistics), Kehinde Motunrayo Sowunmi (Germanic Languages and Literatures), Sarah Valdman (Philosophy), Jian Zhang (History)
Group 4: Labor and Society Transformations in the Age of AI Presenters: Dionisius Andre Kusuma Dewa (Economics) and Joyce Lai (Electrical and Computer Engineering) Other Working Group Members: Nathan Bailey (Germanic Languages and Literatures), Hal Berdichesky (Naval Architecture and Marine Engineering), Isaac Mier (History, Anthropology, and Science, Technology and Society)
Group 5: Sustainability Implications of AI-related Data Center Expansion Presenters: Wendy Palomino Alvarez (Environment and Sustainability) and María Beusterien Pereira (Romance Languages and Literatures) Other Working Group Members: Andrea Cordova-Cruzatty (Mechanical Engineering), Amelia Clark (Environment and Sustainability), Puspita Kaban (Environment and Sustainability), Tongyao Li (Public Policy), Fernando Pliego Perez (Romance Languages and Literatures), Prakriti Shukla (Urban and Regional Planning), Kaitlynn Vo (Interdepartmental Program and the Digital Studies Institute Graduate Certificate), Chenjun Yu (Higher Education)
Group 6: Multi-Level Institutional Governance, Oversight, Policy, and Evaluation Presenters: Jiseon Kim (Public Policy) and Saravuth Vong (Public Policy) Other Working Group Members: Andy Buschmann (Political Science), David Gamba (Information), Austin Hegland (Communication and Media), Firas Ben Hmida (Computer and Information Science), Parker Griffith (Public Policy), Erin Leary (American Culture and Museum Studies), Sambathchatovong Na (Computer and Information Science), Xin Ye (Information)
Group 7: Responsible AI in Education and Research: GenAI in Graduate Research at U-M: Practices, Trust, and Impact Presenters: Daniel Santos Perez (Pharmacy) and Sami Hadouaj (Computer and Information Science) Other Working Group Members: Nivedhitha Dondati Purushotham (Computer Science and Engineering), Joshua Ashkinaze (Information), Muttaki Bismoy (Computer and Information Science), Francesca Burkett (Earth and Environmental Science), Avishak Chakroborty (Computer and Information Science), Emmanuella Ejichukwu (Industrial and Systems Engineering), Md Abul Kalam (Computer and Information Science)
Group 8: Toward Responsible and Equitable AI in Higher Ed: An Environmental Scan of AI Policy Across Health-Related Units at U-M Presenters: Izza Ahmed-Ghani (Health Management and Policy and Health Behavior and Health Equity) and Mrinaalika Sivakumar (Public Policy) Other Working Group Members: Zeinab Alghanem (Health Management and Policy), Idman Gabayre (Neural Engineering), Antonia Gitau (Epidemiology), Sophia Kiselova (Health Behavior and Health Equity), Farhia Mohamed (Nutrition), Angelica Previero (Molecular, Cellular, and Developmental Biology), Andrea Valenzuela (Chemical Biology), Cheryl Wang (Nursing)
Group 9: AI and Machine Learning Applications in Oral Microbiome Analysis for Pregnancy Outcomes and Oral-Systemic Health Presenters: Adrian Ma (Operations Management), Ritwika Bera (Dentistry), and Zining Zhu (Nursing) Other Working Group Members: Collins Chimezie (Chemical Biology), Sarah Sculco (Philosophy)
Group 10: Artistic and Co-Creative Applications and Challenges Presenters: Asa Zhang (English Language and Literature) and Catherine Brist (English Language and Literature) Other Working Group Members: Ambreen Ben-Shmuel (Business and Sustainability), Sam Butcher (Design Science), Kiana Cook (Dance and Performance), Kelly Hoppenjans (Musicology), Yi Liu (Environment and Sustainability), Timothy Tsang (Dance and Performance)
Group 11: AI-Expanded Communication Boundaries Presenters: Álvaro Vega-Hidalgo (Computer Science and Engineering) and Hengxing Zou (Environment and Sustainability) Other Working Group Members: Colton Adams (Psychology), Ruby Guo (Psychology), Mi Huynh (Survey Methodology), Valentin Lewisch (Germanic Languages and Literatures), Charlotte Probst (Environment and Sustainability)
Group 12: Bias, Fairness and Ethics in AI Systems (AI Exposure, Usage, and Perceptions Among U-M Grad Students) Presenters: Hadiza Yusuf (Computer and Information Science) and Thandiwe-Kesi Robins (Molecular and Cellular Pathology) Other Working Group Members: Manikandan Pandiyan (Mechanical Engineering), Abdul Ghaniyu-Alidu (Nursing), Simranjeet Singh (Information),