Data Collection and Analysis

• Conduct comprehensive data collection efforts that draw on a wide range of sources, including historical archives, personal narratives, community surveys, direct interviews with Black Atlantans, and artistic works. The Lab analyzes this data to identify patterns, themes, and insights that can inform AI design and enhance the relevance and accuracy of algorithms.

Development of Ethical AI Frameworks

• Based on the thick data and harm taxonomies, the Lab develops ethical frameworks and guidelines for the design and implementation of AI technologies. These frameworks serve as a foundation for advocating more equitable and just AI practices in both academic and commercial settings.

Collaboration with Technologists, Artists, and Policymakers

• Work closely with AI researchers, technologists, artists, and policymakers to integrate the Lab’s findings into the broader field of AI, machine learning, and cultural studies. The goal is to influence the development of technologies that are attuned to the needs and concerns of Black communities, fostering more inclusive and socially responsible AI systems.

Training Programs and Workshops

• Offer workshops and training sessions that teach students and community members how to engage with digital tools, code, apply AI technologies in socially responsible ways, and explore the role of art in social justice. These programs also cover critical topics such as digital ethics, data privacy, and the implications of AI in society.

Atlanta Black Philosophy, Theology, and Art Archive

• A specialized digital collection focused on the philosophical, theological, and artistic contributions of Black thinkers and creators in Atlanta. This project highlights how these ideas and expressions have influenced social justice movements and broader cultural developments, preserving them for future generations.

Thick Data Collection Initiative

• A project dedicated to the systematic collection of thick data from diverse sources, including focus groups, interviews, ethnographic studies, and artistic works. This data is used to create detailed harm taxonomies and use case schemas that inform AI design, ensuring that AI systems are fairer and more reflective of Black experiences.

Black-Centered Algorithmic Fairness

• An initiative focused on creating and curating datasets that reflect the lived experiences of Black communities. These datasets are used to train AI models, helping them better handle the complexities of social issues and contribute to more equitable outcomes.

Mapping Black Atlanta

• An interactive digital map that traces significant philosophical, theological, artistic, and cultural sites in Atlanta’s Black history. The map includes detailed descriptions, historical context, and multimedia content, providing a comprehensive understanding of the city’s Black heritage.