On this episode of AI Innovations Unleashed, we celebrate the remarkable contributions of two African American pioneers in AI: Dr. Mark Dean and Dr. Timnit Gebru. Dr. Dean's work on high-speed processors and computer architecture laid the foundation for modern AI, while Dr. Gebru's research on algorithmic bias and facial recognition technology is pushing the boundaries of ethical AI. Join us as we explore their inspiring journeys and discuss the future of artificial intelligence.

References (General and Contextual)

• Gebru, T., Krause, B., Denton, E., & Morgansen, K. (2018). Fairness in machine learning. Proceedings of the 2018 Conference on Fairness, Accountability and Transparency, 1–12. (Still a core reference for Gebru)

Additional Resources/Readings (Revised and Expanded)

Dr. Mark Dean (Contextualizing his Impact):

• IBM Archives: (ibm.com/about/history - Search for Dr. Mark Dean and keywords like "processor," "bus architecture," "PC development"). While specific articles might be limited, exploring IBM's history related to these topics provides valuable context.
• "The History of the Personal Computer" (Various Authors/Websites): Numerous articles and websites chronicle the development of the PC. These resources often mention key figures and innovations, even if they don't have a dedicated section on Dr. Dean. Look for timelines and overviews of PC architecture.
• "Microprocessor History" (Various Authors/Websites): Similar to PC history, resources on microprocessor development often discuss key advancements in processor speed and architecture, which are directly relevant to Dr. Dean's contributions.
• Focus on the Impact: Instead of looking for articles by Dr. Dean (which are scarce), look for articles about the impact of gigahertz processors on AI, the importance of standard bus architectures in high-performance computing, and the role of the PC in democratizing access to computing resources. These articles will indirectly highlight the significance of his work.
• Example (Illustrative): Search for articles on the history of Intel's x86 architecture (a dominant PC processor architecture). These articles will discuss the evolution of processor speed and capabilities, which is directly related to Dr. Dean's area of expertise.

Dr. Timnit Gebru (Specific Articles and Resources):

• Black in AI Website: (blackinai.org)
• Algorithmic Justice League Website: (ajlunited.org)
• "Coded Bias" (Documentary): (Find streaming options online)
• **Gebru, T., Morgenstern, J., Vecchione, K., Vaughan, J. W., Wallach, H., Daumé III, H., & Crawford, K. (2018). Datasheets for datasets. arXiv preprint arXiv:1803.09010. (A key paper by Gebru on data bias)
• **Buolamwini, J., & Gebru, T. (2018). Gender shades: Intersectional accuracy disparities in facial recognition. Conference on fairness, accountability and transparency, 77-91. (A highly influential paper on facial recognition bias)
• Search for interviews and articles featuring Dr. Gebru on reputable news and technology sites. She is a frequent commentator on AI ethics.