The project team adopted a community-centric approach to audio data collection by organizing curated events in several cities, centering around Black panelists who both live and work in those communities.Â
These panelists facilitated open and transparent discussions focused on Black culture, the intersection of technology and Black experiences, the growing presence of AI, and the importance of the Black community’s active participation in innovation.
These events created a space where community members felt seen and heard, fostering engagement and trust. At the end of each event, the team introduced a three-week audio data collection initiative, inviting participants to sign up and contribute their voices and experiences to the project.
To address concerns around privacy and data usage, the Howard University research team created and presented FAIR AI usage guidelines to explain the ways in which the collected audio data would be used and handled responsibly.Â