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Women in AI: Rep. Dar'shun Kendrick wants to pass more AI legislation | TechCrunch

May 12, 2024 - techcrunch.com
TechCrunch has been conducting a series of interviews with women who have made significant contributions to the AI revolution. One such woman is Dar’shun Kendrick, a member of the Georgia House of Representatives and a key player in the state's technology and AI policy. Kendrick, who is also a securities attorney, has been involved in raising billions in private investment capital and advising VC funds. She is particularly interested in AI's potential to balance making life easier for people while ensuring machine learning doesn’t disrupt democracy.

Kendrick is proud of her work on legislation around election "deepfakes" and is committed to keeping up with emerging technology. She advises women seeking to enter the AI field to be visionaries, show up in spaces where they're not expected, and continue learning. Kendrick also highlights the pressing issues facing AI, including fraud, privacy, and the need for small businesses to adapt to new technologies. She believes in the importance of a written ethics framework for building AI responsibly and urges investors to push for responsible AI through regular check-ins and accountability measures.

Key takeaways:

  • Dar’shun Kendrick, a member of the Georgia House of Representatives, has a significant career in policy, equity, and technology, and is involved in the Artificial Intelligence subcommittee.
  • She is proud of the legislation passed around the upcoming election and “deepfakes” made by political campaigns to sway elections, marking the beginning of Georgia's conversation about AI.
  • Kendrick advises women seeking to enter the AI field to produce, show up, and continue to learn, emphasizing the importance of being a visionary and providing value in the industry.
  • She identifies fraud, privacy, and slow adaptation by small businesses as some of the most pressing issues facing AI as it evolves, and emphasizes the need for a written ethics framework focusing on privacy, data security, anti-fraud measures, and constant reassessment of discriminatory problems.
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