Carnegie Mellon Academics Take Science Diplomacy to Global Stage
Carnegie Mellon University faculty are increasingly stepping into roles as mediators in global science policy conversations, addressing how research institutions should communicate with policymakers and the public as artificial intelligence reshapes scientific discovery.
The shift reflects a broader change in how scientists approach their work. Barbara Shinn-Cunningham, dean of the Mellon College of Science, spoke at a January roundtable hosted by the American Academy of Arts and Sciences and the Royal Society in London on science diplomacy.
"For a long time, scientists enjoyed the luxury of not worrying much about policy or public debate," Shinn-Cunningham said. "Culturally, engaging with such questions was often seen as a distraction or even a sullying of the scientific enterprise."
That distance is no longer tenable. Scientists now need to explain to decision-makers and the public why their work matters-how it drives economic growth, trains workers, addresses disease, and tackles challenges like climate change.
AI Makes Communication Essential
The rise of AI amplifies this responsibility. Modern science generates data at scales no human can interpret alone, Shinn-Cunningham said. AI is now essential to discovery, but only when grounded in domain expertise and built with computational constraints.
As AI becomes embedded in research, maintaining public trust requires that these systems reflect core scientific principles: rigor, transparency, reproducibility, and accountability.
"As AI becomes inseparable from science, maintaining trust requires that these systems embody the same principles that have always defined scientific progress," she said.
Academia as Policy Broker
At the 2026 World Economic Forum, CMU President Farnam Jahanian and other faculty led discussions on industry-academia ties. Jahanian emphasized that preparing for AI-driven change means educating the broader population, not just scientists and engineers.
"It's not just about educating the next generation of scientists and engineers," Jahanian said. "It's really about developing the population such that we all can benefit from it and can leverage that in our day to day work."
Erica Fuchs, director of the Critical Technology Initiative and professor in the Department of Engineering and Public Policy, moderated panels on technology policy, manufacturing, and international industry dynamics. She noted that academia can serve as a neutral arbiter in an increasingly polarized environment.
In a period when the U.S. reassesses domestic industry in light of new technologies, higher education institutions can help establish common ground across borders. Academics working together can develop shared empirical understanding to inform trade negotiations, policy decisions, and diplomatic alliances.
"Academia has historically played an essential role in providing vision for the way the world works, technical possibilities for the future, causal empirical evidence to understand the relationship between actions and outcomes, and as a neutral third party," Fuchs said.
AI Expertise on Demand
Carnegie Mellon's standing as a leading AI institution made its presence felt at the 40th Conference of the Association for the Advancement of Artificial Intelligence in Singapore this January. Ramayya Krishnan, director of the CMU AI Measurement Science and Engineering Center, delivered keynote addresses on AI governance and the capability deployment gap.
Other CMU faculty at the conference included AAAI President Stephen Smith and former presidents Raj Reddy and Manuela Veloso. They discussed how AI expertise must extend across industries as the technology becomes mainstream.
"We've seen, over the past couple of years, AI has sprung into society, and it's in the mainstream now," Smith said. "We've seen some remarkable technical advancements with deep learning and large language models. With that has come raised expectations of both the potential and the concerns about AI as it evolves into the future."
Krishnan emphasized that as scientific advances accelerate, how institutions communicate about the future becomes as important as the discoveries themselves.
For professionals in science and research, understanding how AI integrates into your field requires staying current on both technical developments and governance frameworks. Consider exploring AI for Science & Research to build skills in this evolving landscape.
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