Mary Lacity

I sat down with Michael J Keegan at IBM Center for The Business of Government on their Federal News Network radio show to discuss our recent work (Yi Ming Andy Xia Michael Overton, Ph.D Nisa Gurbuz Brandon De Bruhl, MPP, MA) on Generative AI and the federal labor market. A link to that interview is here: https://lnkd.in/gzWH6TzJ The report on which it's based can be found in the comments below.

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This is an interesting study which shows that old theories work interestingly in new contexts and how teams communicate really matters for addressing quality of requirements. Enjoy!

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Are we entering the AI disillusionment phase in higher education? AI in higher education appears to be moving past the hype phase. This Inside Higher Ed article outlines five predictions for how AI will shape higher ed in 2026, from scaling enterprise AI strategies to growing faculty and student disillusionment, and increasing pressure to demonstrate real return on investment. What stood out to me is this shift in focus: AI’s future in higher education won’t be defined by tools alone, but by trust, governance, and intentional adoption aligned with institutional mission. Worth a read for anyone working at the intersection of teaching, learning, analytics, and campus operations. https://lnkd.in/gk5P7qrE #AIinEducation #HigherEd #EdTech #InstitutionalEffectiveness #AIGovernance

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White House officials are preparing an executive order targeting tech companies with what they see as “woke” artificial-intelligence models, their latest effort to go after diversity, equity and inclusion initiatives. https://lnkd.in/eYnx9esf

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Special Issue of Production and Operations Management on "Generative AI (GenAI) and Agentic AI at the Marketing–Operations Interface." Guest edited by Roland Rust, Ming-Hui Huang, Shane Wang, Praveen Kopalle. Commitment to Timeliness   Given the rapid pace of research and practice in this domain, the editorial team is committed to quick turnaround and timely decisions. A paper submitted to the special issue will be processed right away. Authors are encouraged to submit as soon as they are ready. Our goal is to ensure that accepted papers are published swiftly, with the special issue scheduled for print publication in early 2027 to maximize its relevance and impact.   First-round submission deadline: June 30, 2026   First-round decisions: August 31, 2026   Revised submission deadline: November 15, 2026   Final decisions: December 31, 2026

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