Washington, D.C., September 25-26, 2024 – BABL AI is thrilled to announce that its CEO and Founder, Shea Brown, will be a distinguished speaker at the 2nd Annual Conference on AI Law, Ethics, Safety & Compliance, hosted by the American Conference Institute (ACI). The event will take place 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 premier event designed to provide practical takeaways and foster invaluable industry benchmarking. As AI continues to evolve at an exponential rate, this must-attend conference brings together key stakeholders to discuss the most pressing issues and uncertain risk factors in AI ethics and compliance.
Panel Highlight:
Bias Mitigation and Algorithms: Developing Best Practices and Policies to Minimize Consumer Harm While Navigating AI Anti-Bias Laws
Shea Brown will join Joseph D. Lockinger, Partner at Cooley LLP, to discuss redefining strategies for addressing evolving legal and compliance challenges in preventing algorithmic bias. The panel will cover a range of critical topics, including:
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- Redefining strategies for addressing evolving legal and compliance challenges in preventing algorithmic bias.
- Ensuring equitable access and fair terms in credit scoring and lending to combat bias.
- Utilizing safety and fairness metrics to assess machine learning model trustworthiness.
- Investigating bias mitigation algorithms’ roles in promoting fairness and diversity in AI.
- Empowering fairer AI solutions through accessible bias detection and mitigation tools.
- Navigating new AI anti-bias legislation’s influence on bias prevention efforts.
- Crafting best practices for mitigating bias risks in AI algorithms.
- Conducting bias testing on algorithmic decision-making systems.
- Implementing AI testing approaches and meeting standards of fairness and accuracy.
- Identifying early-stage bias factors in algorithm development.
- Assessing legal and ethical ramifications of biases in AI applications.
- Ensuring data integrity within AI algorithms for reliable results.
Commenting on the upcoming panel, Shea Brown stated, “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.”
Join Us:
The 2nd Annual Conference on AI Law, Ethics, Safety & Compliance is an unparalleled opportunity to gain insights from leading experts in the field. Attendees will include government officials, AI ethics and safety thought leaders, business and legal executives, privacy and IP legal practitioners, data scientists, and more.
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, hosts leading conferences and briefings across various sectors including finance, technology, and life sciences. Known for events like the International Conference on the Foreign Corrupt Practices Act, ACI is a trusted partner in the legal community, committed to quality and innovation.
