Human-Centered Design for AI Systems

A panel talk considering the politics of AI, its apparent “neutrality”, and its current ubiquitous presence.

What does it mean to bring the human experience into AI systems? Academic Daniel Chávez Heras and visual artist Kristina Pulejkova unpack the complex and emotionally charged relationship between humans and AI, asking if we can ever harmoniously work together. Moderated by co-founder of Feminist Internet, Dr. Charlotte Webb, the panel reflect on some of the controversial topics surrounding AI and how we can frame these debates from a human-centred perspective.

This panel was part of Click & Collect: Show Me Your Dataset, a Somerset House Studios event that brought together artists, curators, researchers and storytellers reflect upon the current ecology of AI. Curated by Doreen A. Rios, the programme involved discussions, workshops, a performance and a tour through the artwork from the PATH AI Residency Programme. 

PATH-AI Commissions

Watch three new film commissions created by artists and researchers Nouf Aljowaysir, Juan Covelli and Chris Zhongtian Yuan reflecting upon the creative potential, challenges and limitations of human-AI relationships.

A narrator teaches an AI assistant the intricacies of her cultural identity as she journeys back through her heritage.

Harmful algorithms lead us through chaos, conflict and celebration in Covelli’s 3D animated film.

Cloudy Song

  • Chris Zhongtian Yuan

An AI care robot helps rebuild the memory of an amnesiac in the near future.


Privacy, Agency, and Trust in Human-AI Ecosystems (PATH-AI) is a collaborative and multidisciplinary research project between The Alan Turing Institute, the University of Edinburgh, and the RIKEN research institute in Japan. The aim of the project is to examine how the three interrelated values of privacy, agency, and trust work together in the very different cultural contexts of the UK and Japan in relation to AI and other data-driven technologies. Grounded in new research summarised in the PATH-AI interim report, the residency supports artists to engage with the report’s themes and findings, from the theoretical and cultural background of these values, to how they are being expressed and performed through everyday lived experience during the COVID-19 pandemic, with the aim of exploring how differing intercultural understandings of these values can inform the ongoing shaping of the international landscape. This work is supported by the Economic and Social Research Council and the Japan Science and Technology Agency.

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Julia Kaganskiy unpacks the works whilst reflecting on the challenges posed by AI and data-driven technologies.