Can AI be Contextualized?

Responsible Artificial Intelligence (RAI) principles are informed by a commitment to attending to local context when designing and deploying Artificial Intelligence (AI) systems. Yet, Artificial Intelligence (AI) systems are developed and deployed across distributed and evolving sociotechnical networks, spanning many jurisdictions and contexts. Responsible AI practitioners thus face a significant challenge: how to ensure that an AI system is contextually appropriate?
That is, how to ensure that AI systems are designed to adapt responsibly to the local social, cultural, legal, and operational settings in which they are used?
In this talk Glen Berman will draw on Joan Fujimura’s concept of articulation work to develop a high-level framework for designing evaluations of AI for context specific uses.
Glen Berman will demonstrate the framework through exploration of an ongoing project developing an AI evaluation harness for the cultural heritage sector.

Speaker: Glen Berman - Australian National University

Biography
Glen Berman is a PhD candidate and researcher at Australian National University. He studies the sociomaterial construction of AI as a research field within the university science system, and designs interventions for operationalising Responsible AI principles within the field. His research has been published in Big Data & Society, AI & Society, and the proceedings of the CHI Conference on Human Factors in Computing Systems and the AAAI/ACM Conference on AI, Ethics, and Society.

The online seminar “Can AI be Contextualized?” will be held by Glen Berman and will explore the relationship between artificial intelligence and contextual understanding in contemporary research and practice.
The event will take place on Monday, 17 November 2025, at 4:30 PM (CET).
Join the discussion at this link.

For more information please contact professor Daniele Quercia