In recent years, a proliferation of critiques of data and AI have addressed inequalities embedded in (and produced by) these technical systems as they are deployed in health care, the workplace, education, policing, social work, transportation, and more. And with the advent of ChatGPT and other systems trained on large language models (LLMs), we are in the midst of an explosion of public debate about AI. While often brilliantly argued, exposés and critical works can leave a pragmatic reader like myself wondering, OK, so how do we take action? And, as a former software developer, I also wonder, When does the path toward equity involve technical design and development and when does it require law, policy, advocacy, or other interventions outside of a tech and design space?
Enter Data Conscience: Algorithmic Siege on Our Humanity by Brandeis Marshall. Marshall is a well-known public scholar who has a PhD in computer...
