Trust in Automation
Mark discusses the evolving landscape of automation in AI, emphasizing the importance of trust and confidence in systems. As organizations become more comfortable with automation, they seek explainability and an audit trail to validate decisions. The conversation highlights the need for systems to generalize learned behaviors across various scenarios, balancing the trade-off between generalization and cost-effectiveness.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Machine Teaching for Better Machine Learning with Mark Hammond - #43
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