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On Making Lie Detectors

Our Attempt at shining a light into the "black box" of AI.

The Trusted Face began as an untruthfulness prototype developed for the 2020 election: a web-scale lie detector aimed at combatting disinformation. Since then, we’ve expanded our mission to not just combat untruthfulness in tech, but eliminate the lack of understanding that inevitably comes with its development. Machine Learning models are frequently described as “black box” models. Because the computer is, effectively, learning on its own, not even the researchers and computer scientists who have developed the algorithms can consistently explain why they often lead to incorrect or biased results. This creates a need for transparent, easy-to-perform experimentation on user-end models, with subsequent understanding of the context in which these models are being used and applied. Here, on our Blog page, you will find our human-centered, transparency-focused approach to artificial intelligence that is intended to help you, wherever you are in your AI journey, gain insight into the experiments, discussions, and insights that are shaping AI.

Posts

  • 23rd Oct 2023 Andy Tests AI: Not a Hallucination
  • 10th Aug 2023 The Trusted Glossary: Thinking On Artificial Intelligence.
  • 30th Jul 2023 On Mapping The AI Tree
  • 11th Dec 2020 The Angriest Video on YouTube ... Sort Of.
  • 10th Dec 2020 The Story In The Machine
  • 2nd Dec 2020 Yes Sir, We Will Learn To Count To "Tensor!"
  • 21st Oct 2019 What's Dumb About Microexpressions
  • 23rd Sep 2019 The MicroGesture vs. The Microexpression
  • 2nd Jul 2019 One Small Hack for Man. One Giant Hack for Mankind.
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