Equitable Pathways & GenAI: Expert Panel
Hosted by the Equitable Pathways Accelerator at One Child Every Child
Location: EDC 179 (the room is located on the first floor of Werklund School of Education by the Good Earth Coffeehouse).
GenAI is reshaping research, teaching, health systems, industry, and everyday life, influencing how knowledge is produced, decisions are made, and value is assigned. These systems are not neutral; they reflect the data, assumptions, and design choices that underpin them.
Chaired by Dr. Malinda Smith, Professor & Associate Vice-President Research-EDI, this multidisciplinary panel examines why inclusive research excellence requires an IDEA (Inclusion, Diversity, Equity, and Accessibility) lens, in the design, use, and governance of AI. Drawing on perspectives from engineering, education, ethics, and health data science, panelists will examine key challenges and opportunities for research and innovation, including bias, accountability, and responsible use, and consider how to integrate AI in ways that strengthen rigour, relevance, and impact.
This event convenes researchers, trainees, industry partners and the public for a focused discussion on advancing inclusive excellence in a rapidly evolving research and innovation landscape.
Panelists
Laleh Behjat, Professor, University of Calgary | NSERC Chair for Women in Science and Engineering
Dr. Laleh Behjat’s internationally recognized work brings together artificial intelligence, optimization, and electronic design automation to advance modern AI hardware and intelligent systems. Alongside her technical leadership, she is widely recognized for her work in inclusive innovation and engineering culture change, offering an important perspective on how excellence, equity, and technological development must be pursued together. She is the recipient of the 2025 North American Women in AI Champion Award.
Sarah Elaine Eaton, Professor, University of Calgary
Dr. Sarah Elaine Eaton is an internationally recognized scholar of academic integrity, academic ethics, and educational leadership. Her research examines plagiarism, contract cheating, academic misconduct policy, and the evolving ethical challenges facing teaching, learning, and assessment in higher education. More recently, she has become a leading voice on artificial intelligence and academic integrity, including the emerging concept of postplagiarism, which explores how generative AI is reshaping long-standing assumptions about authorship, originality, and ethical academic practice.
Jessalyn Holodinsky, Assistant Professor and Director, Artificial Intelligence & Data Education and Ethics, Cumming School of Medicine, University of Calgary
Dr. Jessalyn Holodinsky works focuses on using administrative and big data, advanced modelling, and machine learning to improve decision-making in complex health system contexts, particularly emergency care. She also advances AI and data literacy across the Cumming School of Medicine, helping educators, clinicians, and researchers engage AI critically, responsibly, and in ways that are accessible to practice.
Nadia Delanoy, Assistant Professor, Generative AI and Educational Innovation Program Coordinator, University of Calgary
Dr. Delanoy’s research focuses on how people lead and learn in complex, dynamic systems. Using a data science lens, she examines how organizational leaders can become more adaptive and apply innovative approaches to strategy, policy, governance, and professional learning in rapidly changing environments. She also works at the intersection of artificial intelligence, academic integrity, and assessment innovation as Generative AI and Educational Innovation Program Coordinator, supporting educators and learning professionals in engaging generative AI through human-centred, ethical, and pedagogically informed approaches.