Abstract

In the quantum science special exhibition at the National Museum of Natural Science (NMNS), Taiwan, visitors debate quantum mechanics with life-size AI digital twins of Einstein and Bohr, and step into an AI-animated photograph of the 1927 Solvay Conference. These installations are the most visible examples of the museum's work with AI, but this talk focuses on the broader institutional strategy behind them.

From 2023 to 2025, NMNS piloted AI across administration, curation, and visitor services, including meeting transcription, operational data analysis, voice reconstruction, and generative imagery. Two lessons emerged. A study of 268 visitors showed that the ability to change content does not by itself create a sense of participation; visitors need to see that their choices produce a meaningful response. Operational experience also showed that maintaining trust requires continuous staff attention through hallucination monitoring, content validation, and clear labeling of AI-generated interactions.

Building on these experiences and staff training that reached about 450 participants, NMNS launched a museum-wide AI empowerment program in 2026. Twenty bottom-up proposals from fourteen units are supported through consultation, a six-course curriculum, and shared computing and knowledge infrastructure.

The talk also considers unresolved questions, including rights over a scientist's digital identity and whether a digital Einstein should ever learn new physics. The guiding principle is that capacity, evidence, and trust must develop together if AI is to serve a museum's purposes.

Biography

· 2016–present, Assistant Curator, Science Education Division, National Museum of Natural Science, Taiwan
· 2014–2015, Researcher, Laboratoire d'Astrophysique de Marseille (LAM), France

Abstract

The rapid diffusion of generative AI requires science museums and other knowledge institutions to design AI services that preserve the accuracy and context of their collections.
Focusing on the heritage AI service HAI, this presentation examines domain-specific data, RAG-based reliability, generative image services, data control, and operational trade-offs.
Drawing on HAI’s selection and introduction as an international case at the AI for Good Global Summit 2026, the presentation offers practical implications for the design and governance of AI services in science museums.

Biography

· 2006–Present, Head of the AI Data Team, Korea Heritage Agency
· 2023–2024, Completed AeG Program (Served as Secretary General), KAIST
· 2008, Completed ITCEO Program, Soongsil University
· 2003–2004, CEO, WAAYO Corporation

Abstract

Science museums are under pressure to present something about AI. The usual response is an exhibition of the newest tools. That exhibition is out of date before it opens, and it often leaves visitors worried or impressed but no better informed.

For Adventures in AI, the Exploratorium took a different approach. We built hands-on exhibits about the parts of AI that do not change: how a system learns from examples, where training data comes from, what a model cannot perceive, and why a confident answer is not always a correct one. These ideas will still be true when today's tools are gone.

This presentation tours the exhibits we built, including the ones that did not work. It describes how we designed for the fear and the excitement visitors bring with them, without pushing them toward either. It shares the decisions that mattered most: exhibits that make disagreement visible, activities that ask visitors to state an opinion, and experiences that let a group build a
shared understanding of how a system works.

In the AI era, the most valuable thing a science museum offers is not access to the technology. It is a place to think about it with other people.

Biography

· 2012–Present, Manager, New Media Exhibit Development, Exploratorium
· 2022–Present, Gallery Curator, Human Phenomena Gallery, Exploratorium
· 2025–2028, Lead Developer, SAIL (Supporting AI Literacy through Exhibits and Educators), IMLS
· National Leadership Grant with the Museum of Science, Boston
· 2024–2027, Project Director, EDGE of AI, IMLS Grant, Exploratorium
· 2020–2023, Lead Exhibit Developer, Kiewit Luminarium, Omaha, Exploratorium
· 2019–2022, Lead Exhibit Developer, The Scientific Center Kuwait, Exploratorium