Events Listing
We are excited to invite the campus community to the 2025 Symposium on Teaching and Learning. Read on for more information or register here.
This year the event will take place on Tuesday, April 8, from 8:30 a.m - 2:00 p.m. in Fairchild-Martindale Library (6th floor south).
Come hear from Lehigh professors about the ways their teaching engages and challenges students, the ways that technology can deepen learning, and how to enhance the value of student projects.
This year’s symposium will highlight the work of our CITL Faculty Fellows with three panel discussions in the following areas:
Explorations in Inquiry-based Learning: Fostering student engagement and critical thinking skill developmentXR as a Pedagogical Tool: Examining XR’s impact on teaching, learning, and engagementTeaching with (or without) AI: Navigating the possibilities and challenges of AI as a pedagogical toolAdditionally, we’ll have an exhibition area where you’ll see student work created in a number of courses taught by our Faculty Fellows.
Lunch will be provided. View full schedule.
As Lehigh embarks on its new Strategic Plan and Leads in Educational Innovation, we’re excited to host this event and showcase the work of faculty who have collaborated with CITL to innovate in their classrooms and beyond.
Registration deadline is Tuesday, April 1, 2025.
Please join us!
Judd Hark
Interim Director, Center for Innovation in Teaching and Learning
Library and Technology Services
What if racism, sexism, and ableism aren't just glitches in mostly functional machinery—what if they're coded into our technological systems? In this talk, data scientist and journalist Meredith Broussard explores why neutrality in tech is a myth and how algorithms can be held accountable.
Broussard, one of the few Black female researchers in artificial intelligence, explores a range of examples: from facial recognition technology trained only to recognize lighter skin tones, to mortgage-approval algorithms that encourage discriminatory lending, to the dangerous feedback loops that arise when medical diagnostic algorithms are trained on insufficiently diverse data. Even when such technologies are designed with good intentions, Broussard shows, fallible humans develop programs that can result in devastating consequences.
Broussard argues that the solution isn't to make omnipresent tech more inclusive, but to root out the algorithms that target certain demographics as “other” to begin with. She explores practical strategies to detect when technology reinforces inequality, and offers ideas for redesigning our systems to create a more equitable world.
Meredith Broussard is an associate professor at the Arthur L. Carter Journalism Institute of New York University and the research director at the NYU Alliance for Public Interest Technology. She is the author of More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech (MIT Press, 2023), as well as the award-winning 2018 book Artificial Unintelligence: How Computers Misunderstand the World. Her research focuses on artificial intelligence in investigative reporting, with particular interests in AI ethics and using data analysis for social good. She appears in the Emmy-nominated documentary “Coded Bias,” now streaming on Netflix. Her work has been supported by the Rockefeller Foundation, the Institute of Museum & Library Services, and the Tow Center at Columbia Journalism School. A former features editor at the Philadelphia Inquirer, she has also worked as a software developer at AT&T Bell Labs and the MIT Media Lab. Her features and essays have appeared in The New York Times, The Atlantic, Slate, Vox, and other outlets.
Sponsored by the Humanities Center and the Friends of the Lehigh University Libraries.