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Women In AI: Rashida Richardson, senior counsel at Mastercard focusing on AI and privacy | TechCrunch

Feb 20, 2024 - techcrunch.com
TechCrunch is launching a series of interviews focusing on women who have contributed to the AI revolution. One of these women is Rashida Richardson, senior counsel at Mastercard, who specializes in legal issues relating to privacy, data protection, and AI. Richardson, a former civil rights attorney, was drawn to AI after witnessing the early stages of government adoption of AI-based technologies and recognizing the potential risks and policy gaps. She decided to focus her legal practice and academic work on AI, specifically policy and legal issues concerning their development and use.

Richardson highlights the need for AI users to understand the capabilities and limitations of different AI applications and models, and the uncertainty of current and prospective laws to resolve conflicts or concerns regarding AI use. She also emphasizes the importance of clear principles, policies, guidance, and standards for responsible AI development and use. She suggests that investors can push for responsible AI by defining what constitutes responsible AI development or use, and taking action when AI actor’s practices do not align.

Key takeaways:

  • TechCrunch is launching a series of interviews focusing on women who have contributed to the AI revolution, with Rashida Richardson, senior counsel at Mastercard, being one of them.
  • Rashida Richardson, who specializes in race and emerging technologies, has a background as a civil rights attorney and has worked on technology policy efforts in New York State and City.
  • Richardson believes that AI users should be aware of the capabilities and limitations of different AI applications and models, and the uncertainty regarding the ability of current and prospective laws to resolve conflict or certain concerns regarding AI use.
  • She suggests that the best way to responsibly build AI is to have clear principles, policies, guidance, and standards for responsible AI development and use that are enforced through internal oversight, benchmarking, and other governance practices.
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