Project Evident recently launched the Equitable AI Adoption Framework, a practical guide designed to help practitioners responsibly integrate artificial intelligence into their programs and operations to drive stronger, more equitable outcomes. This episode explores one component of the framework: data governance and risk. We’ll ensure you’re establishing the necessary firewalls to protect your organization’s data and discuss managing privacy risks, data governance, center humans in high-risk scenarios, and avoiding bias.
This episode is hosted by Sarah Di Troia, Managing Director of OutcomesAI & Chief Innovation Officer at Project Evident, and features interviews with Sarah Gripshover, Director of Research at PERTS, Kait Sweetman, Vice President of Technology and Data at OneGoal, and Eduardo Hernandez, EVP of AI tech Solutions at Per Scholas.