Dynamic Decision Making Laboratory

The C.O.R.A. disaster management game, developed at the NSF AI Institute for Societal Decision Making, is a finalist for the 2026 GEE! Learning Game Awards!

CORA combines human decision-making with advanced AI tools, and challenges players to figure out how to best distribute limited supplies like food, shelter, and emergency personnel under high pressure.

The People’s Choice voting is now live if you’d like to support us!
https://uwmadison.co1.qualtrics.com/jfe/form/SV_3Cpi9pwo8fjz5dQ

To play a demo version of the game: https://www.cmu.edu/dietrich/sds/ddmlab/imgs/research/arcgame2.jpg

To learn more about the AI-SDM C.O.R.A. team: https://www.cmu.edu/ai-sdm/research/research-highlights/arc-game.html

To learn more about the GEE! Awards: https://www.geeawards.com/

GEE! Learning Game Awards The GEE! award recognizes excellence in educational game design. The award is judged by international leaders in the field. Winners are announced at the Play Make Learn conference in Madison, WI.

Lab member Jeffrey Flagg's art submission to the 2026 CMU Community Picnic. The acrylic piece is inspired by CMU's brand standard color palette.

Cleotilde Coty Gonzalez and her recent publication "Toward a science of human–AI teaming for decision making: A complementarity framework" were featured in an article Tech Xplore. Follow the link to learn more about how we can structure Human/AI collaborations to achieve complementarity!

https://techxplore.com/news/2026-04-intelligence-framework-human-ai-teams.html

Collective intelligence framework shows how human-AI teams may make better decisions As artificial intelligence (AI) becomes embedded in critical decisions about health, safety, finance, and governance, a key challenge is no longer whether people and AI will collaborate, but rather how to structure this collaboration to achieve true complementarity. In the new paper, "Toward a Scien...

With the NFL draft approaching, Carnegie Mellon University experts Steve Chase, Cleotilde Coty Gonzalez, and Tim Derdenger explore decision making in these types of uncertain, high pressure, dynamic environments.

https://www.cmu.edu/news/stories/archives/2026/march/inside-the-high-stakes-decisions-of-the-nfl-draft

Inside the High-Stakes Decisions of the NFL Draft On NFL draft day, every team has the chance to win — or lose — big. With millions of dollars on the line and just minutes to make a final decision on each pick, a single choice can shape a franchise for years. Carnegie Mellon University experts said those intense moments offer a window into how ...

A Perspective examines how human-AI teams can be effective, transparent, trustworthy and fundamentally human-centered. The authors draw insights from cognitive science, AI, human factors, organizational behavior, and ethics. In PNAS Nexus: https://ow.ly/SbTf50YxES1

Read this new paper in PNAS Nexus led by Cleotilde Coty Gonzalez, titled "Toward a science of human–AI teaming for decision-making: A complementarity framework." Learn how insights from cognitive science, AI, human factors, organizational behavior, and ethics can improve Human-AI decision making!

https://academic.oup.com/pnasnexus/advance-article/doi/10.1093/pnasnexus/pgag030/8490283

This work began from the NSF AI Institute for Societal Decision Making (NSF AI-SDM)'s inaugural Human-AI Complementarity Workshop. The AI-SDM brings together experts in AI/ML, cognitive & decision sciences, ethics, business, and policy to advance the science of human-centered AI.

Toward a science of human–AI teaming for decision-making: A complementarity framework Abstract. As artificial intelligence (AI) becomes embedded in critical decisions involving health, safety, finance, and governance, the key challenge is no

Please read this new publication Cleotilde Gonzalez, and former DDMLab member Tailia Malloy.

Their paper, “Toward Complementary Intelligence: Integrating Cognitive and Machine AI,” published in Current Directions in Psychological Science, offers a roadmap for the future of AI. Rather than replacing human intelligence, the authors argue for complementary intelligence—designing systems that align with and extend human cognition.

https://journals.sagepub.com/doi/10.1177/09637214251407571

Toward Complementary Intelligence: Integrating Cognitive and Machine AI - Cleotilde Gonzalez, Tailia Malloy, 2026 This article calls for complementary human-AI intelligence. Rather than redefining intelligence to fit machine capabilities, we argue for designing AI that comp...

AI-SDM Director, Aarti Singh, and Co-Director, Cleotilde Gonzalez, will present a tutorial: "Human-Centered AI: Challenges and Opportunities" at the AAAI - Association for the Advancement of Artificial Intelligence's annual Conference on Artificial Intelligence .

They will explore how we can integrate social and decision sciences into AI development to ensure these systems truly complement human goals. Whether you are an AI developer, a practitioner, or a social science researcher looking to contribute to the future of technology, this tutorial offers essential insights into achieving meaningful human-AI alignment.

Learn more about their tutorial here:
https://www.cs.cmu.edu/~aarti/AAAI26_HCAI_tutorial.html

AAAI26 Tutorial - Human-centered AI: Challenges and Opportunities

DDMLab member Anu Aggarwal is at the 59th Hawaii International Conference on System Sciences (HICSS) presenting work titled, "Evidence of Cognitive Biases in Capture-the-Flag Cybersecurity Competitions."

In the future, exploiting cognitive biases may help us design more robust protections against cyber attacks!

As the year winds down, DDMLab members enjoy some of our annual holiday traditions!