BABL AI’s Shea Brown Featured in Panel Discussion on AI Governance: “Can We Outsmart the Machines?” Now Available On-Demand

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 09/24/2024
In Press

BABL AI is proud to announce that its CEO, Dr. Shea Brown, was a featured speaker in the compelling panel discussion, “Can We Outsmart the Machines? The Race to Shape AI Governance,” which is now available on-demand. This insightful session focused on the rapidly evolving landscape of artificial intelligence (AI) and the pressing need for robust governance as AI capabilities continue to advance.

 

Event Overview:

The panel, which also included industry experts such as Prof. Dr. Jilles Vreeken (CISPA Helmholtz Center for Information Security) and Philipp Adamidis (CEO, QuantPi), addressed the challenges that organizations face in governing AI, particularly with the rise of Artificial General Intelligence (AGI). Moderated by Nicole Sweet from QuantPi, the discussion explored key issues such as:

 

  1. The Challenges of AI Advancements:

As AI technology evolves, organizations are grappling with how to prepare for unforeseen advancements in AI capabilities. The panel discussed the inherent difficulties in staying ahead of technological leaps and the need for governance structures that can adapt to rapid changes.

 

  1. Balancing Regulations and Innovation:

Dr. Shea Brown contributed his deep expertise in AI ethics, discussing how regulatory frameworks can play a pivotal role in fostering responsible innovation without stifling progress. He highlighted the importance of striking a balance between regulation and the need for AI systems to evolve.

 

  1. Practical AI Governance Strategies:

The panel also offered practical considerations for navigating the complexities of AI governance. Dr. Brown emphasized that successful AI governance requires collaboration between governments, businesses, and researchers to ensure accountability and transparency.

 

This on-demand session is a must-watch for professionals interested in AI governance, ethics, and the challenges of balancing innovation with regulatory requirements. To access the panel discussion, please click this 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 was founded from top German and Swiss universities with a mission to make black box AI understandable. As a spin-off from CISPA – Helmholtz Center for Information Security, we developed world-leading eXplainable AI (XAI) technology.

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