Update
Responsible and safe use of AI
Learn how to use AI responsibly with best practices for safety, accuracy, and transparency when using tools like ChatGPT.
Published: 2026-04-10 · Source: https://openai.com/academy/responsible-and-safe-use
Responsible and safe use of AI
Learn how to use AI responsibly with best practices for safety, accuracy, and transparency when using tools like ChatGPT.
Source
- Publisher: OpenAI
- Original link: https://openai.com/academy/responsible-and-safe-use
Summary
This entry was generated automatically from an external source feed. Open the original link for the full article.
Related updates
Enterprises power agentic workflows in Cloudflare Agent Cloud with OpenAI
Cloudflare brings OpenAI’s GPT-5.4 and Codex to Agent Cloud, enabling enterprises to build, deploy, and scale AI agents for real-world tasks with speed and security.
Analyzing data with ChatGPT
Learn how to analyze data with ChatGPT by exploring datasets, generating insights, creating visualizations, and turning findings into actionable decisions.
Applications of AI at OpenAI
Explore how OpenAI products like ChatGPT, Codex, and APIs bring AI into real-world use for work, development, and everyday tasks.
Related model pages
Enterprises power agentic workflows in Cloudflare Agent Cloud with OpenAI
Cloudflare brings OpenAI’s GPT-5.4 and Codex to Agent Cloud, enabling enterprises to build, deploy, and scale AI agents for real-world tasks with speed and security.
AI fundamentals
Learn what AI is, how it works, and how tools like ChatGPT use large language models. A clear, beginner-friendly guide to understanding artificial intelligence.
Analyzing data with ChatGPT
Learn how to analyze data with ChatGPT by exploring datasets, generating insights, creating visualizations, and turning findings into actionable decisions.
Related documentation
Open Source vs Closed Models
Comprehensive comparison of open-weight and closed API models — trade-offs in capability, cost, privacy, customization, and selection guidance
Codex CLI Guide
When to use Codex CLI, how it fits terminal engineering workflows, and what to watch when rolling it out in a team.
Deployment Strategies for Production
Serving LLMs in production — API design, autoscaling, load balancing, monitoring, and reliability patterns for high-availability model serving