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Do We Hold Algorithms To Higher Standards Than Humans?

The Horizons Tracker

In Noise , Daniel Kahneman, Cass Sunstein, and Olivier Sibony highlight the many ways in which human decision-making is inherently “noisy” Noise can loosely be defined as what ensures that two judgments that should be identical are not. In other words, there are some things that are just not really possible to know.

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Serendipity and a Serving of Humble Pie

Lead Change Blog

However, making time available to reflect and imagine increases the odds of creativity and innovation occurring. Psychologist Daniel Kahneman nailed it when he observed it was incredibly difficult for us to see our own biases. How could I have been so unseeing?

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Marcia Reynolds: Part 1 of a second interview by Bob Morris

First Friday Book Synopsis

She understands organizational cultures, what blocks communication and innovation, and what is needed to bring people together for better results. She has coached leaders, delivered leadership, coaching and emotional intelligence programs, and spoken at conferences for […].

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Competition Can Help Science Progress

The Horizons Tracker

The notion of so-called “adversarial collaboration” was initially coined by Daniel Kahneman, who suggested that “angry science” was largely a waste of effort. My ultimate goal is to improve science as a tool for discovering the truth to help humans flourish.” ” Adversarial collaboration.

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How Can We Rid Biases From Facial Recognition?

The Horizons Tracker

As Daniel Kahneman explains in Thinking Fast and Slow , we often make snap judgments when we first meet people, with these judgments driven in large part by the various biases and heuristics that allow us to shortcut our decision-making.

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Intuition Can Lead Us Astray, And Isn’t Easy To Overcome

The Horizons Tracker

It’s a problem known in behavioral economics as an example of “dual system theory”, which was famously demonstrated by Daniel Kahneman’s fast and slow forms of thinking. It’s an extremely popular thought experiment, precisely because so many people default to $10, despite that clearly being the incorrect answer.

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How To Remove Biases From Algorithms

The Horizons Tracker

As Daniel Kahneman illustrates in Noise , AI-based systems can be effective in reducing the variability in decision making, but they nonetheless suffer from the biases introduced by the quality of the data used to train the algorithms.

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