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Fear and Loathing in Explainability and Transparency: A Savage Journey to the Heart of AI

Delve into the complex world of artificial intelligence, exploring the need for explainability and transparency in AI systems. Unpack the significance of understanding AI context, TRINITY, and the importance of knowing the egg supply chain. Discover how AI effectiveness is hindered by the lack of explainability, and the role of human intelligence in this evolving landscape. Join the journey of cultivators, curators, and innovators striving for WOW moments in AI products.

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Fear and Loathing in Explainability and Transparency: A Savage Journey to the Heart of AI

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  1. Fear and Loathing in Explainability and Transparency:A Savage Journey to the Heart of AI artificial intelligence for the real world

  2. But what do we have to explain?

  3. What is the context of your AI? Its TRINITY

  4. Lots of choice in AI chickens

  5. Night vision goggles for neural nets/deep learning The moral of the story is: if you need explainability, you can get it

  6. And, also be aware of the common cold

  7. The point: Know your chickens their breeds and breeders

  8. Now, about that egg on your face

  9. You need to know the egg supply chain The effectiveness of [AI] systems is limited by the machine's current inabilityto explain their decisions and actions to human users. – DARPA, 2016

  10. This means… The eggs come first!

  11. My moment on AI

  12. Product WOW food chain… “it’s the org, stupid” Cultivators, curators, instigators, innovators, understanders, whisperersof the data & They are motivated by WOW!

  13. The point: Eggs are best free range and minimally processed

  14. The chicken is involved, the pig is committed

  15. This is not about artificial intelligence. This is about human intelligence.

  16. The point: Metrics have no moral compass We need you!

  17. A chicken, eggs and bacon walk into a bar… Shut down in ~18h • 660 million users • Avg use 60x/month • Passed Turing test

  18. AI gives you plenty of opportunity for explainability & transparency With the right framework

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