BABL AI’s CEO Shea Brown to Speak at the 2nd Annual Conference on AI Law, Ethics, Safety & Compliance

Written by Jeremy Werner

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Posted on 08/09/2024
In Press

BABL AI’s CEO Shea Brown to Speak at the 2nd Annual Conference on AI Law, Ethics, Safety & Compliance

 

BABL AI is thrilled to announce that its CEO and Founder, Shea Brown, will be a featured speaker at the 2nd Annual Conference on AI Law, Ethics, Safety & Compliance, hosted by the American Conference Institute (ACI). The event will be held at the DC Bar Association in Washington, D.C., on September 25-26, 2024.

 

Event Overview

 

The National Conference on AI Law, Ethics, Safety & Compliance is a leading gathering for professionals in technology, law, and governance. As AI continues to evolve at an extraordinary pace, the conference provides practical takeaways for regulators, business leaders, and researchers. It also offers valuable networking opportunities and industry benchmarking. Moreover, this must-attend event will highlight key issues such as AI safety, accountability, and transparency. Attendees will explore new strategies to balance rapid innovation with compliance, fairness, and ethical responsibility.

 

Panel Highlight: Bias Mitigation and Algorithms

 

Brown will join Joseph D. Lockinger, Partner at Cooley LLP, for a panel titled “Bias Mitigation and Algorithms: Developing Best Practices and Policies to Minimize Consumer Harm While Navigating AI Anti-Bias Laws.” Together, they will discuss how organizations can identify, assess, and reduce algorithmic bias in real-world applications. Topics will include:

  • Developing legal and compliance strategies to reduce algorithmic bias.

  • Ensuring equitable access in credit and lending systems.

  • Applying fairness and safety metrics to evaluate AI models.

  • Promoting diversity through bias mitigation tools.

  • Responding to new AI anti-bias legislation.

  • Conducting fairness testing on decision-making systems.

  • Protecting data integrity across the AI lifecycle.

In addition, panelists will share real examples of bias detection methods that improve trust and model performance.

 

A Focus on Accountability

 

Commenting on the session, Shea Brown said, “Bias is one of the most cited compliance risks for AI and machine-learning systems, and it’s also one of the most difficult risks to monitor and manage. This session will explore ways that companies can systematically address the risk of bias and discrimination in their AI and autonomous systems.” Furthermore, Brown’s participation reflects BABL AI’s ongoing mission to advance responsible AI governance. The company continues to help clients worldwide implement transparent, fair, and accountable AI frameworks.

 

Join Us in Washington

 

The 2nd Annual Conference on AI Law, Ethics, Safety & Compliance offers a rare opportunity to learn from thought leaders shaping AI regulation. Attendees will include government officials, corporate executives, academics, and AI governance professionals. Therefore, the event serves as a hub for collaboration and the exchange of best practices in ethical AI.

 

About BABL AI:

 

Since 2018, BABL AI has been auditing and certifying AI systems, consulting on responsible AI best practices and offering online education on related topics. BABL AI’s overall mission is to ensure that all algorithms are developed, deployed, and governed in ways that prioritize human flourishing.

 

About the American Conference Institute (ACI):

 

The American Conference Institute (ACI), part of the C5 Group, produces leading conferences across industries such as technology, finance, and life sciences. Known for programs like the International Conference on the Foreign Corrupt Practices Act, ACI is a respected partner to the legal and compliance community. The organization continues to foster dialogue and innovation through events that shape global standards and best practices.

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