AI, data ownership and liability with Omeed Tabiei
In this episode of Explainable AI, hosts Paul Anthony Claxton and Rohan Hall sit down with Omeed Tabiei, the self-proclaimed “coolest lawyer ever,” to tackle the legal and ethical challenges shaping the future of AI. From data privacy, ownership, and compliance with regulations like GDPR, to the thorny issue of AI liability—who’s responsible when AI systems make mistakes?—this conversation dives deep into the risks, responsibilities, and opportunities of emerging AI technologies.
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The road to responsible AI with Serg Masis
How do we build trust in AI systems? Paul Anthony Claxton and Rohan Hall sit down with Serg Masis, author of Interpretable Machine Learning with Python, to explore the 'trust equation'—from breaking open the black box to ensuring responsible, explainable AI. Discover why transparency, human oversight, and ethics are key to AI’s future.
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Smart cities, urban mobility, and the future of AI with Joe Mayberry
Join Paul Anthony Claxton and Rohan Hall as they dive deep into the cutting-edge world of urban innovation with edge AI expert Joe Mayberry. Explore how artificial intelligence is transforming our cities - from autonomous transportation and crowd monitoring to smart waste management and urban air mobility. Discover how technology is making our urban landscapes more efficient, safe, and connected.
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Overcoming the legal and ethical hurdles of AI with Omeed Tabiei
In this episode, AI venture capitalist Paul Anthony Claxton and serial entrepreneur Rohan Hall sit down with Omid Tabiei, the "coolest lawyer ever" and managing partner at Optimus Legal. They dive deep into the legal and ethical considerations surrounding the rapid advancements in artificial intelligence.From data privacy and ownership to liability and accountability, the panel explores the critical challenges facing AI companies and consumers.
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Navigating the trust equation in AI with Serg Masís
In this insightful interview, host Paul Anthony Claxton sits down with Serg Masís, Lead Data Scientist at Syngenta, to explore the critical topic of Explainable AI. Masís shares his expertise on building trust and confidence in AI systems, discussing the importance of transparency, ethics, and responsible development.
Explainable AI is a podcast that makes AI technology understandable and accessible, featuring co-hosts with deep expertise in entrepreneurship and technology.
Ireland