Synopsis: In this AI Leadership Insights interview, Amanda Razani speaks with Mike Finley, CTO of AnswerRocket, about the many challenges and concerns that come with trying to carefully craft good AI regulations.
In this episode of the AI Leadership Insights series, Amanda Razani speaks with Mike Finley, CTO and co-founder of AnswerRocket, about the evolving landscape of AI regulations. Finley highlights AnswerRocket’s role in leveraging generative AI for enterprise data solutions and dives into the complexities of regulating such transformative technology. Using the example of the California AI Bill, Finley commends the effort to address AI’s societal impact but criticizes the bill’s execution, arguing that it oversimplifies the nuanced interplay between large and small AI models. He advocates for a balanced, collaborative approach involving government, businesses, and interdisciplinary experts to create adaptive and effective AI regulations without stifling innovation.
Finley emphasizes the need for accountability, transparency, and safeguards in AI systems while highlighting the tremendous potential of generative AI to solve global challenges. He envisions a future where AI not only enhances human life but also addresses existential problems like sustainability and healthcare. However, he warns against overregulation or self-regulation by AI companies, stressing the importance of building trustworthy, interpretable models. Finley leaves the audience with a powerful takeaway: while the challenges of AI are real, embracing this technology responsibly is crucial for driving progress and creating a better world for future generations.
