JUST AI formed in response to the narrowness of dominant frameworks in data and AI ethics research. The high-level ethical principles popularly used to solve issues in data-driven AI development can ignore the social context and incentives that make technology unjust. JUST AI aimed to increase public engagement and foreground voices of difference in ethical work. 

 

Our project applies network theory to explore relationships between the types of work being done in data and AI ethics. We cluster and connect interdisciplinary ideas to encourage difference and reimagine norms in the field. The visualisation of disparate objects and their reconfiguration on our site represent how JUST AI recognizes ideas that do or do not fit together and recombines concepts to perceive them in new ways. As a network, we continually reassemble and locate space between ideas to provoke possibilities. 

 

JUST AI’s unique methodology maps and makes cross-discipline connections to enable creative intervention in issues of fairness, justice, and materiality in relation to data and AI ethics research. The product of the JUST AI project is not only our process but also what it produces. Further explanation and resources on applying our process are in the Process section; while the communities and creative pieces we’ve produced are displayed and documented in the Projects section.

 

JUST AI was established by Dr. Alison Powell from the London School of Economics (LSE) with funding from the Arts and Humanities Research Council (AHRC), part of UK Research and Innovation (UKRI), and support from the Ada Lovelace Institute. Other individuals and institutions who helped us along the way can be found in the People section.