UPDATE — MARCH 2026:
Since the July 2024 QuantPi Trustworthy AI virtual event series, discussions around AI governance and trustworthy AI have continued to expand as organizations face growing regulatory expectations and technical challenges associated with deploying advanced AI systems. Events such as QuantPi’s series have become part of a broader industry effort to bring together researchers, policymakers, and practitioners to exchange ideas on responsible AI development and governance.
In the years following the event, global regulatory frameworks—including the EU AI Act, emerging national AI governance policies, and expanding industry assurance standards—have increased the demand for practical guidance on AI oversight. Conferences, webinars, and expert panels continue to play an important role in helping organizations interpret evolving requirements and translate governance principles into operational practices.
Thought leaders from academia, industry, and regulatory communities have increasingly emphasized the importance of independent testing, transparency, and risk management in AI deployments. These themes align closely with the core topics explored during the QuantPi event series, including how organizations can prepare for rapid technological advancement, manage regulatory uncertainty, and develop effective governance strategies.
Collaborative initiatives between AI developers, assurance organizations, and research institutions have also grown, with many organizations exploring new methods for evaluating AI performance, fairness, and safety. These efforts reflect the continuing need for interdisciplinary dialogue as AI systems become more widely deployed across sectors such as finance, healthcare, insurance, and public services.
As the AI governance landscape continues evolving, industry events and collaborative discussions remain an important forum for sharing best practices, advancing research, and supporting organizations navigating the complex challenges associated with trustworthy AI development and deployment.
ORIGINAL PRESS RELEASE:
BABL AI CEO to Speak at QuantPi’s Virtual Event on Trustworthy AI Governance
BABL AI is excited to announce that Dr. Shea Brown, CEO of BABL AI, will be one of the distinguished speakers at QuantPi’s upcoming virtual event series on Trustworthy AI. This week-long event explores the complexities of AI governance and brings together global leaders in the field. Also, attendees can join from anywhere, making it an easy way to connect with experts.
Event Highlight: Panel Discussion with Q&A – “Can We Outsmart the Machines? The Race to Shape AI Governance”
Date: July 24th, 2024
Time: 12:00 – 12:45 PM ET / 6:00 – 6:45 PM CEST
Platform: Zoom
As organizations embrace AI, they face new governance challenges. With Artificial General Intelligence (AGI) now part of the discussion, the stakes are higher than ever. According to Dr. Brown, the key is not to get lost in the flood of new regulations, but to focus on their intent: protecting consumers from harm.
Topics to Be Explored
This panel will address pressing questions, including:
- How can organizations prepare for unforeseen advancements in AI capabilities?
- Should companies build their own frameworks or rely on external specialists?
- What are the most practical strategies for navigating shifting regulations?
Also, attendees can expect a thought-provoking discussion that encourages critical thinking about how best to govern AI as technology evolves.
Speakers:
- Dr. Shea Brown – CEO, BABL AI
- Prof. Dr. Jilles Vreeken – Tenured CS Faculty, CISPA Helmholtz Center for Information Security
- Philipp Adamidis – CEO, QuantPi
- Nicole Sweet – Session Moderator, QuantPi
Register Now: Registration Link
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 QuantPi:
QuantPi specializes in developing advanced AI solutions that prioritize transparency, security, and trustworthiness. Through cutting-edge research and practical applications, QuantPi aims to shape the future of AI governance and foster an ecosystem where AI technologies can thrive responsibly.
