Note:  Our session will begin with a Welcome and OLC Fellows Awards, followed by a Student Lightning Talk, A Learner’s Quest for Digital Excellence, presented by Kyra Welch of GlobalMindED.  This will be immediately followed by the Keynote address.

AI has infiltrated society, growing concerns over its future implications within the education space. AI-assisted tools and platforms, like ChatGPT, are disrupting how instructors are able to assess how much a learner knows and can apply without advanced technological assistance. Whether concerns stem from trying to understand what these tools are capable of or tackling the ethics of students cheating with generative AI assistance, educators and the education community at large (board members, administration and parents) must understand the nuances of these tools.

In this talk, Brandeis Marshall discusses the tensions of contending with the AI-assisted tools’ consequences, institutional use/non-use of these tools, the rapid pace of AI’s new releases, and learner engagement for all levels of education. Brandeis will share small non-disruptive changes for a range of online educators, from those who are wearing multiple hats in the classroom, to those who lead a large teaching staff. Instructional designers, administrators, and digital learning leaders will learn how to navigate the new ear of AI-led learning assistance and how to best both navigate and integrate these tools for better learning outcomes.

Brandeis Marshall is Founder and CEO of DataedX Group, a data ethics learning and
development agency for educators, scholars and practitioners to counteract automated
oppression efforts with culturally-responsive instruction and strategies.

Trained as a computer scientist and as a former college professor, Brandeis teaches, speaks
and writes about the racial, gender, socioeconomic and socio-technical impact of data
operations on technology and society. She wrote Data Conscience: Algorithmic Siege on our
Humanity (Wiley, 2022) as a counter-argument reference for tech’s move fast and break things
philosophy. She pinpoints, guides and recommends paths to moving slower and building more
responsible human-centered AI approaches.

Brandeis centers her work and impact on making data and AI concepts snackable to understand
for practical implementation from the classroom to the boardroom. As co-lead of the Atlanta
Interdisciplinary AI Network, Brandeis is developing data citizens through humanities-centered
critical data literacy community workshops and supporting new AI researchers, who are
grounded in humanistic inquiry. Also Brandeis provides data equity scholarship, professional
development and resources as a team member on the NSF Institute for Trustworthy AI in Law &
Society (TRAILS), a partnership between the University of Maryland, George Washington
University and Morgan State University.

Brandeis’s thought leadership has appeared in Heinrich-Böll-Stiftung, Medium, OneZero, The
Moguldom Nation, and on CNN. Brandeis has spoken to audience across the AI and justice
sectors including ACLU, Harvard, Kapor Center, Stanford, Truist, Urban League and Visa.
Brandeis holds a Ph.D. and Master of Science in Computer Science from Rensselaer
Polytechnic Institute and a Bachelor of Science in Computer Science from the University of
Rochester. She has been a faculty associate at the Berkman Klein Center for Internet & Society
at Harvard University, Stanford PACS Practitioner Fellow and Partner Research Fellow at
Siegel Family Endowment. She has served as an assistant professor at Purdue University and
then associate and full professor at Spelman College.
[For more information, visit Brandeis’ speaker page here.]