

What happens when artificial intelligence makes critical decisions that affect people's lives? Who's responsible when AI systems produce biased outcomes or legally questionable results? Bryan Ilg, Chief Sales Officer at BABL AI, tackles these pressing questions in our thought-provoking conversation about the future of AI governance.
With a unique background spanning from scooter rental entrepreneurship to pioneering work in AI oversight, Bryan offers rare insight into how organizations can navigate the complex landscapes of AI implementation. "AI governance is probably one of the last jobs that will ever exist," he suggests, highlighting how the oversight of artificial intelligence systems represents the future of work as task-based jobs increasingly shift to automation.
BABL AI stands at the forefront of responsible AI development, providing independent auditing and assurance that evaluates systems for bias, legal compliance, and effective governance. Bryan explains why traditional risk management approaches fall short when dealing with AI's unique challenges, and why diverse perspectives are essential for responsible implementation.
The conversation reveals alarming blind spots many organizations have when deploying AI solutions—from inadequate user training to failing to consider how automated, quantified decisions must be legally defensible in ways human decisions weren't previously scrutinized. "It's much easier to maintain than to fix a big problem," Bryan notes, making the case that proactive AI governance saves organizations from potentially catastrophic failures down the road.
Beyond the technical aspects, Bryan shares a compelling vision for AI's future where technology serves human-centric values rather than merely driving profits. His perspective offers both practical guidance for business leaders and an optimistic outlook on how properly governed AI might help solve our world's most pressing challenges. Want to learn how your organization can implement AI responsibly? This episode provides the roadmap you need.
23 episoder
Inspire AI: Transforming RVA Through Technology and Automation
What happens when artificial intelligence makes critical decisions that affect people's lives? Who's responsible when AI systems produce biased outcomes or legally questionable results? Bryan Ilg, Chief Sales Officer at BABL AI, tackles these pressing questions in our thought-provoking conversation about the future of AI governance.
With a unique background spanning from scooter rental entrepreneurship to pioneering work in AI oversight, Bryan offers rare insight into how organizations can navigate the complex landscapes of AI implementation. "AI governance is probably one of the last jobs that will ever exist," he suggests, highlighting how the oversight of artificial intelligence systems represents the future of work as task-based jobs increasingly shift to automation.
BABL AI stands at the forefront of responsible AI development, providing independent auditing and assurance that evaluates systems for bias, legal compliance, and effective governance. Bryan explains why traditional risk management approaches fall short when dealing with AI's unique challenges, and why diverse perspectives are essential for responsible implementation.
The conversation reveals alarming blind spots many organizations have when deploying AI solutions—from inadequate user training to failing to consider how automated, quantified decisions must be legally defensible in ways human decisions weren't previously scrutinized. "It's much easier to maintain than to fix a big problem," Bryan notes, making the case that proactive AI governance saves organizations from potentially catastrophic failures down the road.
Beyond the technical aspects, Bryan shares a compelling vision for AI's future where technology serves human-centric values rather than merely driving profits. His perspective offers both practical guidance for business leaders and an optimistic outlook on how properly governed AI might help solve our world's most pressing challenges. Want to learn how your organization can implement AI responsibly? This episode provides the roadmap you need.
23 episoder
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