In Spring 2021, the All Aboard! project, funded by the NSF Northeast Big Data Hub, brought together data scientists, disability scholars and activists and social scientists to devise new workflows for making public education on AI and data science more accessible. The group used the existing public education portfolio of the NYU Center for Responsible AI as material for the discussions. In three separate gatherings, selected comics, and videos of the We Are AI course ( served as concrete use cases. The discussions that evolved around these concrete use cases form the basis for this primer.

We hope that the All Aboard! primer will continue to create synergies between the typically distant domains of data science, art, social science and disability studies and activism in order to propel democratic deliberation around AI and data science forward in an accessible and equitable way. We also hope that it will have effects on how data scientists, educators, and government institutions think about and practically engage in deliberation around AI and data science regulation.

The result of this work is our All Aboard! primer on making AI education accessible, produced in partnership with the NYU Tandon Ability Project.

Read more about this work
  1. All Aboard! Making AI Education Accessible
    Falaah Arif Khan, Lucius Bynum, Amy Hurst, Lucas Rosenblatt, Meghana Shanbhogue, Mona Sloane, and Julia Stoyanovich
    Center for Responsible AI, New York University 2023
  2. We are AI: Taking Control of Technology
    Julia Stoyanovich, and Eric Corbett
    Center for Responsible AI, New York University 2021