Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI
Por um escritor misterioso
Last updated 15 julho 2024
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When it comes to artificial intelligence and inequality, algorithmic bias rightly receives a lot of attention. But it’s just one way that AI can lead to inequitable outcomes. To truly create equitable AI, we need to consider three forces through which it might make society more or less equal: technological forces, supply-side forces, and demand-side forces. The last of these is particularly underemphasized. The use of AI in a product can change how much customers value it — for example, patients who put less stock in an algorithmic diagnosis — which in turn can affect how that product is used and how those working alongside it are compensated.
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HBR: Eliminating Algorithmic Bias Is Just the Beginning of
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Biased Algorithms Are Easier to Fix Than Biased People - The New
![Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI](https://mediajustice.org/wp-content/uploads/2022/04/AI-QA-INFO-1024x1024.jpg)
Greenlining Institute: Algorithmic Bias Explained – Q&A with
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Managing AI chatbots to be less discriminatory: An exclusive Q&A
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Podcast Episode: Algorithms for a Just Future
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Navigating Bias and Fairness Challenges in AI/ML Development
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Applied Sciences, Free Full-Text
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Addressing Bias in AI
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