In this HCI Webinar, I talk with Justin Jones-Fosu about his book, I Respectfully Disagree: How to Have Difficult Conversations in a Divided World. Justin Jones-Fosu is the embodiment of energy, both at home as a dedicated father to two spirited children and atop the world's highest peaks, having recently conquered one of the famed 7 Summits. But Justin's passion for elevation doesn't end with trekking, it's mirrored in his professional ascent as a captivating business speaker, innovative social entrepreneur, and insightful workplace researcher. At the helm of Work. Meaningful., Justin is the driving force and CEO behind a movement that empowers organizations across the globe, delivering over 50 keynote addresses a year on the pivotal topics of meaningful work and inclusion. His mission is to ignite a transformation in corporate culture, guiding organizations and individuals to ascend to their peak potential through mastery of mindset, purpose, and performance. Justin is not only a pathfinder in the wilderness but also in the literary world, authoring essential reads such as "Your WHY Matters NOW," "The Inclusive Mindset," and his latest thought-provoker, “I Respectfully Disagree: How to have Difficult Conversations in a Divided World.” His work is a compass for those seeking direction on creating connections in an often-fragmented society. With a flair for infusing humor into his well-researched content, Justin doesn't just give a speech; he crafts an experience, leaving his audience not just informed but transformed. His approach is not merely to inform but to inspire, not just to direct but to make a difference.

This research examines how generative artificial intelligence is fundamentally altering the epistemic foundations of higher education. Rather than viewing AI as a simple tool, the text describes a shift toward an "algorithmic university" where automated systems redistribute power and authority away from human educators. The research identifies significant risks, such as the potential for commercial priorities to overshadow liberal education values and the complication of traditional intellectual authorship. To navigate this transition, the research advocates for participatory governance, critical AI literacy, and the intentional design of human-AI partnerships that prioritize pedagogy. Ultimately, the research argues that universities must exercise institutional courage to ensure technology serves humanistic inquiry rather than mere market efficiency.

This research examines how generative artificial intelligence is fundamentally altering the epistemic foundations of higher education. Rather than viewing AI as a simple tool, the text describes a shift toward an "algorithmic university" where automated systems redistribute power and authority away from human educators. The research identifies significant risks, such as the potential for commercial priorities to overshadow liberal education values and the complication of traditional intellectual authorship. To navigate this transition, the research advocates for participatory governance, critical AI literacy, and the intentional design of human-AI partnerships that prioritize pedagogy. Ultimately, the research argues that universities must exercise institutional courage to ensure technology serves humanistic inquiry rather than mere market efficiency. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Abstract: Artificial intelligence (AI) is fundamentally reshaping the epistemic foundations of higher education, moving beyond simple technological adoption toward a profound transformation of how knowledge is created, validated, and governed in academic institutions. This conceptual article examines AI not as a pedagogical tool to be integrated into existing structures but as an epistemic agent that redistributes knowledge-creation authority across human-algorithmic assemblages. Drawing on distributed cognition theory, posthumanist philosophy, and critical algorithm studies, the analysis reveals three interconnected dimensions of transformation: AI assumes epistemic co-agency in knowledge production, algorithmic governance redistributes institutional power toward automated systems, and workforce preparation imperatives risk subordinating liberal education values to market-driven skill development. The article synthesizes emerging scholarship to articulate how these dimensions cohere into a systemic reconfiguration requiring fundamental reconceptualization of the university as an institution. This framework advances beyond tool-centric implementation discussions toward addressing root questions about educational purposes, epistemic authority, and institutional governance in the algorithmic university. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This research examines how generative artificial intelligence is fundamentally altering the epistemic foundations of higher education. Rather than viewing AI as a simple tool, the text describes a shift toward an "algorithmic university" where automated systems redistribute power and authority away from human educators. The research identifies significant risks, such as the potential for commercial priorities to overshadow liberal education values and the complication of traditional intellectual authorship. To navigate this transition, the research advocates for participatory governance, critical AI literacy, and the intentional design of human-AI partnerships that prioritize pedagogy. Ultimately, the research argues that universities must exercise institutional courage to ensure technology serves humanistic inquiry rather than mere market efficiency. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This research examines how generative artificial intelligence is fundamentally altering the epistemic foundations of higher education. Rather than viewing AI as a simple tool, the text describes a shift toward an "algorithmic university" where automated systems redistribute power and authority away from human educators. The research identifies significant risks, such as the potential for commercial priorities to overshadow liberal education values and the complication of traditional intellectual authorship. To navigate this transition, the research advocates for participatory governance, critical AI literacy, and the intentional design of human-AI partnerships that prioritize pedagogy. Ultimately, the research argues that universities must exercise institutional courage to ensure technology serves humanistic inquiry rather than mere market efficiency. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this HCI Webinar, I talk with Irene Riad about conscious leadership and resilience. Irene Riad is an ICF PCC Executive Coach and Organizational Culture Coach who specializes in success mindset, complex trauma recovery, and Jungian depth psychology. She is the founder of SightCET, The Institute of Authentic Leadership Culture, a keynote speaker, and bestselling author. Her coaching, coach education, mentor coaching, and coaching supervision align professional and personal growth with the wisdom of the mind-body-soul interaction through different modalities that enable her clients to go through a deep transformation of their whole human system as leader, team, and organization. The outcome of her work is experienced as a renewal of identity. There is renewed sight to the energetic power we hold within ourselves, and we hold collectively to live our purpose and create legacy through our work or business. She is deeply fulfilled by empowering others to shine their light and claim their unique magnificence in the world.

In this HCI Webinar, I talk with Juan Betancourt about how companies can operationalize agility for all teams. Juan Betancourt, CEO of Humantelligence, is a visionary leader with a lifelong commitment to reshaping the business landscape for the better. Having observed the limitations of conventional human capital management systems during his time in the software industry, Juan recognized a need for innovation. It was this realization that led him to Humantelligence, where he saw the potential to revolutionize productivity, motivation, and employee retention while making it accessible to all. With a track record of revitalizing global brands like Puma and overseeing the US division of Décathlon, Juan's expertise is unmatched. A Harvard economics graduate with an MBA from The Wharton School, Juan is committed to making work better for all and actively engages in community leadership roles.