To shine a spotlight on AI-focused women academics and professionals, TechCrunch has been featuring a series of interviews highlighting remarkable women who have made significant contributions to the AI field. This ongoing series aims to recognize the important work of women in AI that often goes unnoticed. For more profiles, click here.
Dar’shun Kendrick, a member of the Georgia House of Representatives since 2010, has a diverse background in policy, equity, and technology. She serves on various committees related to small business development, jobs creation, technology, and infrastructure, including the Artificial Intelligence subcommittee. Kendrick is also actively involved in the National Black Caucus of State Legislators and spearheaded the creation of Georgia House of Representative's bipartisan caucus dedicated to Technology, Innovation & Entrepreneurship.
Kendrick holds a law degree from the University of Georgia School of Law and has a successful legal career. In 2017, she established a law and investment advisory firm aimed at empowering women and Black founders in understanding capital raising.
How did you initially get involved in AI and what drew you to the field?
In my initial involvement in tech as a securities attorney helping founders raise investment capital, I was exposed to cutting-edge technologies, including AI. The intricate balance between leveraging AI to enhance human lives while safeguarding against potential disruptions to democracy piqued my interest. As an attorney, the notable trend of AI startups raising substantial investor capital further fueled my fascination with the field.
Reflecting on your work in AI, what accomplishments are you most proud of?
During the recent Georgia General Assembly session, I played a role in passing legislation addressing the impact of AI-generated deepfake content on elections. This initiative marks the beginning of crucial conversations around AI within the state. Addressing emerging technology in legislation is vital, especially as AI, particularly generative AI, continues to evolve.
How do you navigate the challenges posed by the male-dominated tech and AI industries?
By actively participating in industry events, conferences, and discussions, I challenge the male-dominated narrative and showcase my expertise in tech and AI. Breaking into traditionally male-dominated sectors, whether in venture capital or AI, involves demonstrating knowledge, value, and confidence in one's contributions.
What advice would you offer to women aspiring to enter the AI field?
Embrace your multitasking abilities and leverage them to drive innovation in AI. As visionary leaders, women can conceptualize AI products that cater to societal needs. Continual learning and active engagement in AI discussions and learning resources are key to making a lasting impact in the field.
What do you see as the primary challenges AI faces as it progresses?
Key issues such as fraud, privacy concerns, and the slow adoption of AI in sectors like small business and government pose significant challenges. Safeguarding against malicious AI use, ensuring data privacy, and promoting swift AI integration are critical factors that require attention.
What should AI users be mindful of when utilizing AI technology?
Users must exercise caution in sharing personal information with AI platforms to mitigate fraud risks. Additionally, remaining vigilant of discriminatory practices facilitated by AI algorithms, such as biased hiring processes, is crucial for users.
How can responsible AI development be promoted?
Establishing a comprehensive ethics framework centered on privacy, data security, anti-fraud measures, and addressing discriminatory issues within AI systems is essential. Implementing a structured ethics plan and fostering a culture of accountability can bolster responsible AI development.
How can investors advocate for responsible AI practices?
Investors can drive responsible AI by demanding adherence to ethics frameworks, conducting regular responsibility evaluations, and emphasizing environmental, social, and governance (ESG) standards. Holding companies accountable for their ethical commitments and setting clear metrics for ESG compliance can encourage responsible AI practices.
It is imperative for all stakeholders - government, private sector, and individuals - to strike a balance between innovation and safeguarding fundamental rights. By prioritizing privacy, liberty, due process, and nondiscrimination, we can navigate the evolving AI landscape effectively and advance societal well-being.
