AI explained in 150 seconds

Short films to understand artificial intelligence, and see how the Koaee assistant uses it for our clients: town hall, clinic, hotel, restaurant, insurer.

12 films online, 0 coming soon

• Speech recognition: how a machine writes “pare a pair of pears” correctly

  How does a machine turn a voice into text? Here's a hint: it doesn't listen, it looks. Three steps and a short history, in 2 min 30.

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• How a transformer works (ChatGPT, Gemini): “The fan waved a fan”

  “The fan waved a fan.” You know which one is a person. And a machine? The answer is one word, attention, and three steps. 2 min 30.

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• Algorithmic bias: why a hiring tool penalised the word “women's”

  Two identical résumés, one word apart. An Amazon tool scored one lower, and nobody meant it to. Three steps to see where the bias comes from. 2 min 30.

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• AI and copyright: who owns an image made by an AI?

  An AI makes an image: who owns it? Whoever typed the prompt, the software company… or nobody? Three questions, 150 seconds.

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• Autonomous drones: who decides where a delivery drone flies?

  Wing, Zipline, Wingcopter, Amazon: drone delivery has already taken off. But when nobody's holding the controls, who decides where the drone goes?

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• Everyday AI: what you see on screen, and what gets sent

  You ask your phone for directions and get an answer in a second. What did you hand over in that second? Three steps, 150 seconds.

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• Forward engineering: add an AI with one line, remove it with one line

  Add an AI to a website with one line, remove it with one line: is that possible? Three ideas, from Garmisch (1968) to the Data Act (2024), in 150 seconds.

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• Stable Diffusion: how does an AI pull a picture out of pure noise?

  An image AI doesn't draw: it starts from pure noise and wipes it away until a picture appears. How? Three steps, in 150 seconds.

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• Trading bot: why it does (almost) nothing, and that's by design

  Thousands of price moves, not one order: is this trading bot broken? No, it waits to be sure. Three steps, in 150 seconds.

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• Computer vision: how does a machine spot a tumour in an image?

  To a radiologist, this is an image. To a machine, it's a grid of numbers. How does it spot a tumour? The answer in three steps.

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• Edge computing: should a car's AI think on board or in the cloud?

  A car at 90 km/h, a pedestrian steps out: in a tenth of a second it covers 2.5 m. Should its AI think on board, or in the cloud?

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• RPA and AI: who handles the invoice, the robot, the AI or a person?

  Every morning, invoices pour in. Who handles them: a robot, an AI… or a person? The answer: all three, each with its own job.

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