# AI quality: Garbage in, garbage out

DevFeed: [AI quality: Garbage in, garbage out](<https://devfeed.tech/articles/ai-quality-garbage-in-garbage-out-7809.md>)

Original publisher: [Read original article](<https://snyk.io/blog/ai-quality-garbage-in-garbage-out/>)

Author: Michael Biocchi

Published: 2024-06-11T05:00:00Z

Content type: article

Language: en

Sources: [Blog RSS Feed | Snyk](<https://devfeed.tech/sources/blog-rss-feed-snyk.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [data](<https://devfeed.tech/topics/data.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Code](<https://devfeed.tech/topics/code.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [awareness](<https://devfeed.tech/tags/awareness.md>), [blog](<https://devfeed.tech/tags/blog.md>), [code](<https://devfeed.tech/tags/code.md>), [data](<https://devfeed.tech/tags/data.md>), [developer](<https://devfeed.tech/tags/developer.md>), [devops](<https://devfeed.tech/tags/devops.md>), [executive](<https://devfeed.tech/tags/executive.md>), [inference](<https://devfeed.tech/tags/inference.md>), [knowledge-base](<https://devfeed.tech/tags/knowledge-base.md>), [pitfalls](<https://devfeed.tech/tags/pitfalls.md>), [post](<https://devfeed.tech/tags/post.md>), [quality](<https://devfeed.tech/tags/quality.md>), [reasoning](<https://devfeed.tech/tags/reasoning.md>), [security](<https://devfeed.tech/tags/security.md>)

## AI overview

The article explains the garbage-in, garbage-out principle for AI and machine learning: poor input data can produce harmful or unreliable outputs even when the resulting code or system appears polished. It illustrates this through an expert system that uses a knowledge base and inference engine to identify animals from user-provided attributes.

## Source excerpt

In this post, we discuss AI output quality and how to avoid the common pitfalls.