# Ethics and Society Newsletter #6: Building Better AI: The Importance of Data Quality

DevFeed: [Ethics and Society Newsletter #6: Building Better AI: The Importance of Data Quality](<https://devfeed.tech/articles/ethics-and-society-newsletter-6-building-better-ai-the-importance-of-data-quality-7183.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/ethics-soc-6>)

Author: Avijit Ghosh; Lucie-Aimée Kaffee; Yacine Jernite; Margaret Mitchell; Irene Solaiman; Daniel Vila; Florent Daudens; Brigitte Tousignant; Giada Pistilli; Sasha Luccioni

Published: 2024-06-24T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Data Quality](<https://devfeed.tech/topics/data-quality.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [data](<https://devfeed.tech/topics/data.md>), [AI Strategy](<https://devfeed.tech/topics/ai-strategy.md>)

Tags: [ai-development](<https://devfeed.tech/tags/ai-development.md>), [article](<https://devfeed.tech/tags/article.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [data-quality](<https://devfeed.tech/tags/data-quality.md>), [ethics](<https://devfeed.tech/tags/ethics.md>)

## AI overview

This article explains why high-quality data is essential for reliable AI and machine learning outputs. It presents data quality as a holistic, responsible practice across the AI development lifecycle, covering relevance, completeness, timeliness, privacy, fairness, safety, and sustainability. It emphasizes evaluating data according to its intended use case and adopting safety by design from the data stage.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.