# Introduction to Responsible AI

<br />

How do we build AI systems responsibly, at scale? Learn about Responsible AI,
relevant concepts and terms, and how to implement these practices in products.

> [!NOTE]
> **Estimated Read Time:** 10 minutes

> [!NOTE]
> **Learning objectives:**
>
> - Define Responsible AI and relevant dimensions, including fairness, accountability, safety, and privacy.
> - Describe potential harms and benefits of AI, and the importance of building AI responsibly.
> - Describe examples of Responsible AI dimensions and how they are implemented.

## Develop and scale AI responsibly

Artificial intelligence (AI) powers many apps and services that people use in
daily life. With billions of AI users across fields from business to
healthcare to education, it is critical that companies work to ensure the
benefits of these technologies far outweigh the harms.

**Responsible AI** considers the societal impact of the development and scale of
these technologies, including potential harms and benefits. Google's
[AI Principles](https://ai.google/responsibility/principles/) provide a
framework to create the most helpful, safe, and trusted experiences for all. The
principles include objectives for AI applications as well as applications we
will not pursue in the development of AI systems.

## Responsible AI dimensions

As you develop AI solutions, we recommend considering the following responsible
AI dimensions:

- Fairness
- Accountability
- Safety
- Privacy

Next, we'll explore each of these dimensions.