We would like to thank all of the original workshop and interview participants who provided feedback or otherwise informed the recommendations proposed in PAI’s “Responsible Sourcing of Data Enrichment Services” white paper. This case study builds on that white paper by putting its recommendations to the test and developing a set of resources that can be used by AI practitioners to adopt those recommendations. Many PAI staff members contributed to this work. In particular, Katya Klinova helped champion this work, was a part of the implementation team, and provided thoughtful feedback and ideas throughout the process; Hudson Hongo edited and refined the case study’s narrative; and Neil Uhl provided visual design for the case study.
We would like to thank DeepMind for their transparency and for graciously allowing us to publicly share the important lessons learned as they undertook this effort to adopt responsible data enrichment practices organization-wide. We are grateful to all of the DeepMinders who shared their time, experiences, and feedback so that we could co-develop a tested set of practical resources for the broader AI field to use. We would like to especially thank Antonia Paterson and Will Hawkins for their tireless leadership in championing responsible AI practices within DeepMind and being gracious, thoughtful, and amazing partners over the course of this collaboration.