Understanding the regulatory landscape in AI governance is essential for organizations to comply with emerging regulations, such as the EU AI Act. Responsible AI goes beyond principles to accountability, requiring organizations to demonstrate ethical practices in their AI implementations. Model transparency ratings provide a valuable tool for evaluating large language models and assessing their risk factors based on public disclosure.

In this episode we sit with Gerald Kierce, co-founder and CEO of Trustible AI, a leading technology provider focused on responsible AI governance. Gerald provides insights into his background, including his experience at FiscalNote and his vision for Trustible AI. The discussion covers how Trustible AI helps organizations manage AI risks, comply with emerging regulations, and implement responsible AI practices. Gerald also shares his thoughts on the regulatory landscape, the role of third-party audits, and the challenges and strategies in building an AI governance platform. The conversation also touches upon Trustible AI's recent feature, the model transparency ratings, and the complexities of fundraising in the AI sector.

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Founder Bio:

Gerald Kierce is the Co-Founder & CEO of Trustible – a leading technology provider of responsible AI governance. Its software platform enables AI and compliance teams to scale their AI Governance programs to help build trust, manage risk, and comply with AI regulations. Prior to founding Trustible, Gerald was an executive at FiscalNote (NYSE: NOTE) where he spent nearly a decade at the company across a variety of roles including VP & General Manager of their AI Solutions division, Corporate Development, Chief of Staff, Product Marketing, and Customer Success. FiscalNote was the most recent DC-based company to go public in the New York Stock Exchange in August of 2022. He is originally from San Juan, Puerto Rico.

Time Stamps:

01:46 Gerald's background and journey into AI

03:58 Navigating AI without a technical background

07:45 Trustible AI pain point: AI Governance and Compliance

13:36 Managing AI risks and mitigation strategies

17:13 The shift from responsible AI to accountable AI

21:34 Navigating AI governance and regulatory compliance challenges

25:50 AI in practice: Real-world applications

28:25 Challenges and solutions in deploying generative AI models

30:04 Building an AI startup: From vision to product adoption

36:31 Understanding model transparency ratings for evaluating AI risks

41:14 Fundraising and market dynamics in AI

45:23 Future Directions and how to get in contact with the Trustible team

Resources

Company website: https://www.trustible.ai/

LinkedIn: https://www.linkedin.com/company/trustible/

Twitter: https://twitter.com/TrustibleAI