---
title: "3 pernicious myths of responsible AI"
url: https://daily.dev/posts/3-pernicious-myths-of-responsible-ai-bzocyrg3d
source_url: https://www.infoworld.com/article/3715440/3-pernicious-myths-of-responsible-ai.html
type: article
source: "InfoWorld"
published: 2024-05-02T09:04:15.078Z
updated: 2024-05-09T08:43:33.910Z
tags: ["data-science", "ethics", "responsible-ai"]
reading_time: 6
upvotes: 0
comments: 0
language: en
---

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# 3 pernicious myths of responsible AI

**[InfoWorld](https://daily.dev/sources/infoworld)** · 6 min read · 0 upvotes · 0 comments

## Summary

Responsible AI (RAI) is needed to drive trust, adoption, and prevent potential risks. Three pernicious myths about RAI include the belief that it is about principles, ethics, or explainability. RAI is actually about managing risk through a multi-layered strategy involving people, processes, and technology.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.infoworld.com/article/3715440/3-pernicious-myths-of-responsible-ai.html>

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---

Tags: [#data-science](https://daily.dev/tags/data-science), [#ethics](https://daily.dev/tags/ethics), [#responsible-ai](https://daily.dev/tags/responsible-ai)

[View this post on daily.dev](https://daily.dev/posts/3-pernicious-myths-of-responsible-ai-bzocyrg3d)