November 1, 2024
In a thought-provoking episode, Dr. Drew explores the trade-off between high capability and explainability in neural networks. While powerful, these models can sometimes be opaque in their decision-making.
Here’s the key takeaway: Transparency is crucial. Solution providers, like RNL, can bridge the gap by openly discussing limitations and helping clients understand the complexities of AI.
Industry leaders acknowledge these uncertainties, but the focus remains on crystal-clear communication and managing expectations for successful AI adoption.
Ready to dive deeper? Listen to the full episode and gain valuable insights from Dr. Drew.