ETHICAL AI DICTIONARY

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Knowledge Gaps

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Old AI is like using last year’s weather to pick clothes today. AI must keep learning new facts to help and be right.

DIVE DEEPER WITH CURATED ARTICLES, VIDEOS, PODCASTS, AND MORE, CAREFULLY CONNECTED TO EACH AI CONCEPT

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Newer AI models are Trained on Its Own AI Data Deliver Lower Quality result than Older AI Models Trained on real Human data

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Understanding Model Decay: The Silent Killer of AI Performance

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Next-gen AI – the answer to cost and energy concerns?

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Machine learning model monitoring: Best practices

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Bridging the Gap Between Data Mining and Machine Learning

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Gap identification for Machine Learning based Research-A simple guide

Designed for those who want to:

  • Learn key AI concepts and reflect on their ethical implications in real-world scenarios
  • Feel empowered to engage with your doctor, knowing your rights and responsibilities in AI-driven care
  • Recognise where AI can fail and critically assess when (or if) its use is appropriate in your care
  • Support PPIE activities and facilitate inclusive conversations about AI in healthcare
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