Can AI be Contextualized?

Seminario online Can AI be Contextualized?, tenuto da Glen Berman.

Quando: Lunedì 17 novembre 2025, ore 16.30
Dove: Online al link: http://tiny.cc/20nu001
Relatore: Glen Berman, Australian National University

Abstract: 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 I 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. I will demonstrate the framework through exploration of an ongoing project developing an AI evaluation harness for the cultural heritage sector.

Bio: 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.


Per ulteriori informazioni contattare:
Prof. Daniele Quercia: daniele.quercia@polito.it