Towards Creating Infrastructures for Ethics and Values Work in Software Production

Online seminar Towards Creating Infrastructures for Ethics and Values Work in Software Production, held by Richmond Wong.
The event is part of the “Responsible Artificial Intelligence” (RAI) talk series.

When: Monday 13 July 2026 at 4.30 pm
Where: Online at the link: http://tiny.cc/gww4101
Speaker: Richmond Wong, Georgia Tech (USA)

Abstract: Current research on ethical and responsible AI suggests that technology practitioners involved in the development of new AI systems should reflect a broad range sociotechnical expertise and knowledge. Much research focuses on developing tools to help technology practitioners address responsible AI issues during software production. Yet infrastructures within and beyond an organization can help support the conditions for (or hinder) practitioners’ abilities to do the work of addressing ethics and responsibility in practice. The talk proposes taking an infrastructural view to addressing responsible AI in practice. In addition to creating responsible AI tools, we can also consider and (re)design broader processes, organizations, social systems, and governance structures that affect practitioners’ ability to address ethical issues in practice. The talk reflects on possible strategies and tactics that could assist in promoting responsible AI practices within organizational contexts.

Bio: Richmond Wong is an Assistant Professor of Digital Media at Georgia Tech. He directs the Creating Ethics Infrastructures Lab where his research seeks to create social, cultural, and organizational environments that can support technologists and designers in ethical decision-making. This includes creating design approaches that propose new ways to consider human values, supporting worker and community-led actions, improving organizational ethics review practices, and understanding how law and policy affect technology design and use. Richmond's work utilizes qualitative and design-based methods, and he actively publishes in interdisciplinary research communities including: human computer interaction, computer-supported cooperative work, and science & technology studies. He completed his PhD at the University of California Berkeley School of Information.

Contact: Professor Daniele Quercia