What Companies Need To Consider When Implementing AI | Lunchtime BABLing 30

Written by Jeremy Werner

Jeremy is an experienced journalists, skilled communicator, and constant learner with a passion for storytelling and a track record of crafting compelling narratives. He has a diverse background in broadcast journalism, AI, public relations, data science, and social media management.
Posted on 01/22/2024
In Podcast

In the latest episode of Lunchtime BABLing, Shea Brown, CEO of BABL AI, and Bryan Ilg, VP of Sales, delve into the intricacies of AI governance, ethical considerations, and the imperative of building trust in AI technologies. Their conversation sheds light on the evolving landscape of artificial intelligence and its implications for businesses.

The Core of AI Governance

The dialogue opens with an exploration of AI’s potential and the necessity of addressing bias and ethical risks. Shea emphasizes that while AI offers immense benefits, it also presents significant challenges, particularly in terms of regulatory and reputational risks. The discussion underscores the importance of a robust governance strategy to navigate these challenges effectively.

Addressing Blind Spots

A crucial part of their conversation revolves around identifying and addressing the blind spots business owners might have when implementing AI. Regulatory risk, reputational risk, and the erosion of trust emerge as critical concerns. The importance of understanding the impact of AI on various groups and ensuring its ethical deployment is highlighted as a means to mitigate these risks.

Building a Governance Strategy

Bryan probes further into the development of an AI governance strategy, prompting Shea to outline a foundational approach that includes assigning responsibility, inventorying AI systems, conducting risk assessments, and implementing mitigation measures. This process underscores the necessity of a comprehensive strategy to manage AI’s complexities.

Enhancing Existing Governance Frameworks

For businesses with existing governance frameworks, the discussion transitions to leveraging and enhancing these systems to incorporate AI governance effectively. Shea advocates for a federated approach, emphasizing education, integration, and local management of AI risks to harness the benefits of AI while mitigating its challenges.

The Role of AI Compliance Teams

The conversation also touches on the formation of internal AI compliance teams, highlighting the importance of specialized training and the limitations that necessitate external assurance for comprehensive compliance and risk management.

The Value of Third-Party Audits

Bryan and Shea discuss the critical role of third-party audits in establishing trust and transparency with customers and stakeholders. BABL AI’s approach to providing external assurance is presented as a key differentiator, helping businesses navigate regulatory requirements and build a foundation of trust.

Early Adoption of Regulatory Policies

The episode concludes with a discussion on the strategic advantages of early adoption of regulatory policies, such as the EU AI Act. Shea draws parallels with the movement towards sustainability, suggesting that early compliance can significantly enhance a company’s trustworthiness and competitive edge.

Conclusion

This episode of Lunchtime BABLing provides invaluable insights into the challenges and opportunities presented by AI in the business world. Through their engaging discussion, Shea and Bryan highlight the critical importance of ethical governance, transparency, and trust in harnessing the full potential of AI technologies. As AI continues to evolve, businesses are encouraged to adopt a proactive and thoughtful approach to governance, ensuring that innovation is balanced with responsibility and ethical considerations.

 

Lunchtime BABLing listeners can use coupon code “BABLING” to receive a 20% discount on our AI and Algorithm Auditor Certification Program.

 

All Lunchtime BABLing episodes are available on YouTube, Simplecast, and all major podcast streaming platforms.

 

 

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