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🔆 Breaking the Black Box: Transparency and Explainability in AI
A closer look at understanding how AI systems make decisions, leaked screenshots from Instagram's AI adventures and AI investment in Kenya.
Sarah, Emma and Allegra at Lumiera.ai
May 02, 2024
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🗞️ Issue 16 // ⏱️ Read Time: 7 min
Hello 👋
Have you heard of the black box problem? This is where AI systems make decisions without providing insight into how those decisions were reached. This means the most honest answer to “How did ChatGPT come up with this response?” is “We do not know.”
Stanford’s Foundation Model Transparency Index has shown that no major foundation model developer is close to providing adequate transparency, revealing a fundamental lack of transparency in the AI industry. There are nuances and layers to this.
Keep reading to learn more about the principles of explainability and transparency, two important pillars of responsible AI.