AI Today Podcast: Ethical & Responsible AI Series: Explainable and Interpretable AI

Not all algorithms are explainable. So does that mean that it's ok to not provide any explanation on how your AI system got to the decision it did if you're using one of those "black box" algorithms? The answer should obviously be no. So, what do you do then when creating Ethical and Responsible AI systems to address this issue around explainable and interpretable AI? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss issues related to explainable and interpretable AI, especially in the context of your Ethical and Responsible AI framework development. Show Notes: CPMAI+E Ethical & Responsible AI Framework Development Certification

Om Podcasten

Cognilytica's AI Today podcast focuses on relevant information about what's going on today in the world of artificial intelligence. Hosts Kathleen Walch and Ron Schmelzer discuss pressing topics around artificial intelligence with easy to digest content, interview guests and experts on the subject, and cut through the hype and noise to identify what is really happening with adoption and implementation of AI.