The Data Exchange with Ben Lorica Why Legal Hurdles Are the Biggest Barrier to AI Adoption
Feb 6, 2025
In this conversation, Andrew Burt, CEO of Luminos AI—a startup focused on reducing AI liabilities—dives into the legal complexities surrounding AI adoption. He highlights the significant disconnect between rapid AI advancements and the slower pace of legal compliance. Topics include the challenges of regulation, bias management, and the stark differences in internal versus external app deployments. Burt underscores the importance of collaboration between technical and legal teams to navigate potential hurdles and ensure responsible AI integration.
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Legal Risks Exceed Ethical Concerns
- Legal and compliance risks pose a greater challenge to AI adoption than ethical concerns.
- This is a significant disconnect between those discussing theoretical AI issues and those building practical AI systems.
AI Bias in Customer Service and Facial Recognition
- AI systems used in customer service can create legal issues if they unfairly disadvantage certain demographic groups.
- Facial recognition systems often perform less accurately on people of color, highlighting potential legal risks.
Obtain Legal Sign-off Before AI Deployment
- Data science teams should seek legal sign-off before deploying AI models.
- This involves a back-and-forth process with legal teams, including documentation and quantitative tests.