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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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The Surprising Power of Business Experiments

Skip Prichard

Daniel Kahneman. The behavioral economist Daniel Kahneman once noted that “if you follow your intuition, you will more often than not err by misclassifying a random event as systematic. A good hypothesis helps delineate those variables and suggests metrics. Thus, it is difficult either to support or to reject it.

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The Hidden Indicators of a Failing Project

Harvard Business Review

Daniel Kahneman, in his book Thinking Fast and Slow , recounts a bit of a planning pickle he and his Israeli Ministry of Education colleagues encountered when estimating how long it would take to complete a high school textbook on judgment and decision making. Too many projects measure success based on two metrics: time and budget.

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3 Ways to Get More Out of Your Web Analytics

Harvard Business Review

” Perhaps someone makes an effort to tie analytic metrics to business targets, but in no real depth, and the next item on the meeting agenda swiftly takes over without any action items being set as a result of the review. Match Your Business Goals to Metrics. These metrics should be measurable month over month, year over year.

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Life is Luck — Here’s How to Plan a Career Around It

Harvard Business Review

Daniel Kahneman has claimed the following as his favorite equation: Success = talent + luck. Kahneman’s implication is that the difference between moderate and great success is mostly luck, not skill. Great success = a little more talent + a lot of luck.

Career 8
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3 Ways to Make Less Biased Decisions

Harvard Business Review

As Nobel Prize winner Daniel Kahneman said: “The odds of limiting the constraints of biases in a group setting rise when discussion of them is widespread.” Another place to encourage accountability is in diversity metrics. ” Reorganizing structures and systems can also help reduce the impact of bias.

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Research: Could Machine Learning Help Companies Select Better Board Directors?

Harvard Business Review

Since the mandate of the board is to represent shareholders’ interests, shareholder votes stand out as a natural performance metric. The second challenge we face is that we only have that measure of director performance for directors who are actually selected to join the board.