News from the CIB - Spring 2025
🎤 Conversations w/ Faculty Experts - Woolley and team explore AI’s Potential for Enhancing Teams’ Collective Intelligence
Today’s professionals often work on multiple remote teams, making collaboration difficult and draining. Dr. Anita Woolley’s TMS-CI framework outlines how collective intelligence dependson coordinating expertise, attention, and reasoning. Her team is now exploring how AI can support these systems, including in caregiving networks, to help distributed teams collaborate more effectively.
New Tepper research highlights the power of distributed ledger technology (DLT) for managing organizational change and structuring internet platform data
Distributed ledgers—decentralized databases shared and synchronized across blockchain members—originate from decades of distributed computing research and gained prominence with the rise of cryptocurrencies in the mid-2000s. Now seen as tools for solving business problems, they are the focus of new research by Professors Sunkee Lee, Aniko Öry, and PhD student Genrao Basulto, who explore how DLT can address challenges in managing organizational change and structuring internet platform data.
CIB Research Fellows Investigate GenAI Applications in Medicine, Finance, Marketing, and More
What happens when you combine powerful generative AI technology with some of the most pressing questions in medicine, marketing, economics, finance, and human behavior? A group of Carnegie Mellon University researchers are doing just that—pushing the boundaries of generative AI (genAI) to explore not just what these tools can do, but how they might be used responsibly and effectively across a range of real-world domains.
CIB Teaching Fellows Develop Human-Centered, AI-Powered Educational Tools That Enhance Critical Thinking and Improve Interpersonal Communication
As artificial intelligence continues to reshape the future of work, Tepper faculty are reimagining how they prepare students to lead in a rapidly evolving landscape. The CIB’s Collaborative AI fellows are at the forefront of this transformation: their AI-powered tools aim to enhance the student learning experience. Collectively, these initiatives equip students with more than just technical knowledge. They offer hands-on opportunities to build critical human skills like giving constructive feedback, navigating ethical dilemmas, recognizing cognitive biases, and communicating across cultures.
CIB Hosts Co-AI Workshops for Faculty
As artificial intelligence continues to reshape the future of work, Tepper faculty are reimagining how they prepare students to lead in a rapidly evolving landscape. The CIB’s Collaborative AI fellows are at the forefront of this transformation: their AI-powered tools aim to enhance the student learning experience. Collectively, these initiatives equip students with more than just technical knowledge. They offer hands-on opportunities to build critical human skills like giving constructive feedback, navigating ethical dilemmas, recognizing cognitive biases, and communicating across cultures.
Earlier this year, Tepper’s Center for Intelligent Business hosted a faculty workshop on using generative AI in routine academic tasks, led by CMU alumni Prasad Chalsani and Bambi Brewer. The session introduced practical use cases—like text revision, research synthesis, and quiz generation—and showcased a range of tools including ChatGPT, NotebookLLM, and Open Scholar. Faculty also discussed the impact of LLMs on student learning, stressing the importance of balancing AI use with foundational skill development. This event was part of the Center’s CoAI initiative, which integrates generative AI and human collaboration to advance business education.
Behnam article