Most of life is fuzzy. Our AI should understand that.

Trust through Transparency

FLAIR brings together students and researchers who build AI that can explain itself, using fuzzy logic.

A short history of fuzzy logic

1965

Lotfi A. Zadeh 1921 to 2017

Fuzzy sets

At UC Berkeley, Lotfi Zadeh publishes "Fuzzy Sets", a mathematics for things that are partly true. It starts the field.

Photo: BBR100, CC BY-SA 4.0, via Wikimedia Commons

FLAIR raises public awareness of fuzzy logic and explainable AI, and builds a community that grows fuzzy logic in Cincinnati and around the world.

The global fuzzy community

Organizations we look up to

Where fuzzy research lives

Listed for reference. These organizations and universities are not FLAIR sponsors unless stated.

Most human judgment lives somewhere between 0 and 1.

Try it

Move the slider. A yes or no rule flips at a hard line. Fuzzy logic says how much each word fits, so the answer can explain itself.

Temperature23 °C

Yes or no logic

Warm? Yes.

Warm means exactly 15 to 25 °C. One degree changes everything.

Fuzzy logic

Each word fits to a degree between 0 and 1.

Our vision: an explainable AI-first world, where every AI system that touches people's lives can be understood, trusted, and certified.

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