Explainable AI: Data Scientists Discuss What's Inside the Black Box

AI is increasingly used to make important decisions in our lives like predicting the onset of a disease, the suitability of a job candidate, the likelihood of a criminal to reoffend, or the next president of the United States. In such cases, having AI model outcomes that are explainable, or interpretable, is often just as important as having model outcomes that are accurate. In this episode, Xyonix Data Scientists engage in a robust discussion where we explore model interpretability and discuss why you should care.

Want to dig in more? Some of our related articles:

• Inside the Black Box, Developing Explainable AI Models
• Explaining a Passenger Survival AI Model Using SHAP for the RMS Titanic
  
  

Have an AI problem you need help with? Reach out to us at www.XyoniX.com

Love it! Super intriguing

Great introspective view on AI and its different applications. Highly recommend this podcast to anyone looking to understand the intricacies of AI.