Explainable AI: How to Build Next-Gen AI Models That You Can Trust | Webinar by Quantzig
ML models are often thought of as black boxes that are impossible to interpret and hence lack trust at many levels by business leaders.
- ML models are often thought of as black boxes that are impossible to interpret and hence lack trust at many levels by business leaders.
- Bias in the data sets has been a long-standing risk in training AI models.
- Explainable AI is one of the key requirements for implementing responsible AI, a methodology for the large-scale implementation of AI methods in real organizations with fairness, model explainability, and accountability.
- In this webinar, our top minds will talk about what Explainable AI is and how organizations can build and deploy models at scale with utmost trust and confidence.