Governing Pandora: Leadership, Trust, and Risk in the Age of Exponential Technology

Submitted by on Tue, 05/26/2026 - 15:00
What does leadership require when technology is advancing faster than institutions can adapt? How can government, business, and society capture the promise of generative AI while confronting its risks? And what does it take to build trust, resilience, and responsible governance in an era of exponential change? Join host Michael J. Keegan as he explores these questions with Andrea Bonime-Blanc, author of Governing Pandora: Leading in the Age of Generative AI and Exponential Technology.
Broadcast Date: 
Monday, May 25, 2026 - 10:29
Author: 
Conversation with Authors Series
Audio: 
Audio icon andrea_bonime-blanc_author_podcast_abcd.mp3

Advancing Government Innovation: Selected High-Priority Research Initiatives

Submitted by on Wed, 05/20/2026 - 13:46

From the latest proposal round, a select group of submissions has advanced, reflecting strong alignment with federal priorities in artificial intelligence, governance, data, and cross-sector collaboration.

These proposals stand out for their potential to deliver scalable frameworks, improve operational effectiveness, and strengthen public trust. Summaries of these high-priority projects follow.

Can the Age of AI Foster Broader Policymaker–Citizen Dialogue? by Susan Aaronson and Michael Moreno, George Washington University

Leading in Chaos: Rethinking Leadership for an Uncertain World

Submitted by on Mon, 05/18/2026 - 13:18
What does a new model of leadership look like in this moment? How do leaders stay grounded when the environment is anything but? What does it take to move from trying to control outcomes to creating the conditions for something new to emerge? Join host Michael J. Keegan as he explores these questions and more with Nicholas Janni and Amy Elizabeth Fox, co-authors of Leading in Chaos: A Clarion Call To A New Future From Two Pioneers In Leadership Development And Transformational Change.
Broadcast Date: 
Monday, May 18, 2026 - 10:12
Author: 
Nicholas Janni and Amy Elizabeth Fox
Audio: 
Audio icon janni_fox_authors_podcast_abcd.mp3

Weekly Roundup - May 11-15, 2026

Submitted by on Fri, 05/15/2026 - 16:22
p>ARTIFICIAL INTELLIGENCE & TECHNOLOGY GOVERNANCE

Modernizing Legacy Systems for Zero Trust Success

Submitted by on Tue, 05/12/2026 - 15:54

Guest Blog Author: Lieutenant Colonel LaToya C. Hall, U.S. Army, Training with Industry Fellow with IBM

Weekly Roundup - May 4-8, 2026

Submitted by on Fri, 05/08/2026 - 12:15

ARTIFICIAL INTELLIGENCE — ADOPTION, GOVERNANCE & SECURITY

How Can Responsible Application of AI Help Child Welfare Agencies Serve Children and Families More Effectively?

Submitted by on Wed, 05/06/2026 - 13:34

Frontline child welfare workers carry consequential responsibilities. Every day, they make decisions that directly affect the safety, stability, and futures of children and families. Yet increasingly, these workers have to spend more time navigating administrative systems, managing documentation requirements, and searching for policy guidance — and less time doing the relational, judgment-driven work needed to achieve their mission.

The Mission Generation: A Conversation with Arun Gupta on Reclaiming Purpose and Rebuilding the Future

Submitted by on Tue, 05/05/2026 - 11:21
What is the “Mission Generation”? What motivates talented professionals to pursue careers in public service today? How can government attract and empower a new generation of leaders who want their work to have purpose and impact? Join host Michael J. Keegan as he explores these questions and more with Arun Gupta, co-author The Mission Generation: Rewrite Success, Reclaim Your Purpose, Rebuild Our Future.
Broadcast Date: 
Monday, May 4, 2026 - 11:00
Author: 
Arun Gupta
Audio: 
Audio icon arun_gupta2_author_podcast_abcd.mp3

David R. Schwartz, MSW

Submitted by on Wed, 04/29/2026 - 15:19

David R. Schwartz is a social work researcher and AI policy practitioner whose work at the intersection of technology and human services spans more than two decades. A former frontline child welfare worker, he led one of the first formal evaluations of artificial intelligence in child welfare and was among the first researchers to apply artificial neural networks to predictive modeling in child welfare and juvenile justice—foundational work begun in 1999 that helped establish early principles for computational intelligence in social services.

Using AI to Improve Child Welfare

Submitted by on Wed, 04/29/2026 - 15:12

Across the country, child welfare agencies carry out a vital public mission amid growing complexity—supporting increasing caseloads, navigating evolving policy frameworks, and continually developing a workforce with skills to make consequential decisions for children and families.

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