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The more we involved AI in our daily lives, the more we need to  be able to trust the decisions that these systems make. Right now, too much of what AI systems do are a “black box”. We have little visibility into how decisions are being made, conclusions drawn, objects identified, and more. As the consequences of mistakes become more significant, it becomes more important to have visibility into the inner workings of AI decision-making, or in other words, AI Explainability.

Continue reading AI Today Podcast #015: AI Explainability & More – Interview with Mark van Rijmenam at Cognilytica.