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Understanding Explainability and Interpretability in AI We're continuing our Geotab series on Responsible AI by diving into the crucial themes of explainability and interpretability in AI with François-Xavier Jeannet. Curious about the "how" and "why" behind AI decisions? This blog unpacks the implications of Generative AI (Gen AI), featuring insights from our recent work, including the launch of Geotab Ace. In today's fast-paced world, AI influences everything from healthcare to finance, but how do we ensure these systems are fair, transparent, and understandable? Discover the importance of: ▪️ Trust & Accountability: Building confidence in AI systems through clearer decision-making. ▪️ Ethical Decision-Making: Identifying & addressing biases for fairer outcomes. ▪️ Regulatory Compliance: Navigating laws & maintaining AI governance. ▪️ Improved User Experience: Enhancing interactions with transparent AI. 🔗 Read more here: https://ow.ly/tNX850TfRW1

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