AI Knowhow
Explainable AI vs. Understandable AI
Nov 18, 2024
In this enlightening discussion, Dom Nicastro, Editor-in-Chief at CMSWire, explores AI's transformative role in customer experience and journalism. He emphasizes the vital differences between explainable AI, focused on technical compliance, and understandable AI, which fosters trust with users. Nicastro also highlights how AI empowers frontline agents and aids journalists, enhancing their work instead of replacing it. Additionally, the episode features a segment on AI's impressive capabilities in fraud detection, showcasing its potential for good in real-world applications.
30:31
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Quick takeaways
- Explainable AI is crucial for technical insights and regulatory compliance, while understandable AI enhances user trust and experience.
- AI plays a transformative role in customer service and journalism by automating tasks and empowering employees without replacing human expertise.
Deep dives
Distinguishing Explainable AI and Understandable AI
Explainable AI refers to the technical aspects of how artificial intelligence models arrive at their predictions, detailing the specific algorithms and inputs used. In contrast, understandable AI focuses on conveying this information in a way that is accessible to humans, ensuring they grasp the significance of the AI's workings. The distinction is crucial for establishing trust in AI systems, particularly in fields like healthcare and finance, where decision-making directly affects people's lives. By breaking down these concepts, businesses can better assess when to implement each type, enhancing user confidence and collaboration with technology.
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