The inaugural Vanderbilt AI Governance Symposium recently brought together leaders from various sectors to delve into pressing issues surrounding AI accountability, transparency, and governance. The symposium served as a platform for industry, academia, and government representatives to exchange insights and explore the evolving landscape of AI and technology policy.
Keynote Conversation: Careers in AI and Technology Policy
The highlight of the symposium was a keynote conversation moderated by Professor Mark J. Williams, Co-Director of the Vanderbilt AI Law Lab. This conversation centered on careers in AI and technology policy, featuring prominent panelists such as Sean Perryman, Adjunct Professor and Global Head of AI & Fairness Policy at Uber; Asad Ramzanali, Director of Artificial Intelligence & Technology Policy for the Vanderbilt Policy Accelerator; and Donna Marina, Senior Counsel at Palo Alto Networks.
Nonlinear Paths to Technology Governance
The panelists shared their diverse journeys into the realm of technology governance, emphasizing how artificial intelligence is reshaping traditional legal practices and creating new career opportunities. They highlighted the importance of taking calculated risks and trusting one’s ability to adapt in a rapidly changing sector. Transferable skills, they noted, are invaluable for navigating and pivoting within fast-evolving fields like AI.
– Sean Perryman began his career in litigation before transitioning to a role as Counsel within the House Committee on Oversight and Reform. During his tenure, he spearheaded the first congressional investigation into facial recognition technology, which launched his focus on algorithmic bias and AI policy.
– Donna Marina’s career trajectory took her from IT management and software training to law school, eventually entering the field of insurance law. Her experience in drafting tech contracts and supporting software development teams now informs her role as a privacy lawyer at Palo Alto Networks.
– Asad Ramzanali started his career at Intuit, working on the corporate strategy team before co-founding a financial-technology accelerator aimed at low-income Americans. His journey included roles on Capitol Hill and within the White House Office of Science and Technology Policy before joining Vanderbilt.
Developing Technical Fluency and Translation Skills
The panelists emphasized the benefits of developing technical fluency and translation skills for lawyers in the technology sector. While mastering coding isn’t essential, a practical understanding of the software development lifecycle can enhance governance and policy solutions. Understanding industry professionals’ perspectives is crucial, and this can be strengthened through credentials like the AI Governance Professional exam, along with networking and soft skills.
– Marina advised approaching industry professionals with a beginner’s mindset, emphasizing the importance of understanding their goals and challenges.
– Perryman likened this process to deposing an expert witness, stressing the need for a fluent understanding of technology to ask the right questions.
– Ramzanali suggested that small experiments with tools and platforms can help lawyers grasp the practical limits of technology.
The Role of AI Governance Education
Professor Williams highlighted that AI governance education is less about mastering static information and more about recognizing knowledge gaps. The panel concluded by emphasizing the importance of strategic relationship-building and continuous learning outside the classroom.
Breaking into AI and technology law often requires mentorship, professional organizations, public-sector experience, and openness to nonlinear career trajectories. Perryman noted the significance of activities outside one’s job, whether through civic organizations or bar associations, as avenues to explore new opportunities.
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Note: This article is inspired by content from https://law.vanderbilt.edu/navigating-different-paths-to-legal-careers-in-ai-and-technology-policy/. It has been rephrased for originality. Images are credited to the original source.