Planning for AGI and Beyond – OpenAI's Mission and Safety Roadmap
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This is OpenAI's official public statement on its AGI safety philosophy and organizational strategy, widely cited in AI governance discussions; useful for understanding the priorities and self-framing of a leading AI lab.
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Summary
OpenAI outlines its mission, strategy, and safety commitments as it pursues artificial general intelligence, emphasizing iterative deployment, human oversight, and the importance of avoiding catastrophic outcomes. The post articulates OpenAI's belief that AGI could be transformative and dangerous, and describes principles guiding how they intend to navigate this transition responsibly. It serves as a foundational statement of OpenAI's organizational philosophy on safety and governance.
Key Points
- •OpenAI frames AGI development as among the most consequential technological transitions in history, requiring careful, safety-conscious navigation.
- •The post emphasizes iterative deployment as a way to learn from real-world use and course-correct before more powerful systems are built.
- •Human oversight and the ability to correct mistakes are treated as critical safeguards during the current period of AI development.
- •OpenAI expresses concern about undue concentration of power—including by OpenAI itself—and commits to avoiding outcomes that undermine democratic institutions.
- •The document acknowledges deep uncertainty about timelines and risks while arguing that engagement is safer than ceding the field to less safety-focused actors.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| AI Disinformation | Risk | 54.0 |
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Planning for AGI and beyond \| OpenAI
February 24, 2023
[Safety](https://openai.com/news/safety-alignment/)
# Planning for AGI and beyond
Our mission is to ensure that artificial general intelligence—AI systems that are generally smarter than humans—benefits all of humanity.

Illustration: Justin Jay Wang × DALL·E
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_Updated October 28, 2025: This post contains outdated information about our structure. Please refer to the_ [_following page_](https://openai.com/our-structure/) _for updated information._
Our mission is to ensure that artificial general intelligence—AI systems that are generally smarter than humans— [benefits all of humanity](https://openai.com/charter/).
If AGI is successfully created, this technology could help us elevate humanity by increasing abundance, turbocharging the global economy, and aiding in the discovery of new scientific knowledge that changes the limits of possibility.
AGI has the potential to give everyone incredible new capabilities; we can imagine a world where all of us have access to help with almost any cognitive task, providing a great force multiplier for human ingenuity and creativity.
On the other hand, AGI would also come with serious risk of misuse, drastic accidents, and societal disruption. Because the upside of AGI is so great, we do not believe it is possible or desirable for society to stop its development forever; instead, society and the developers of AGI have to figure out how to get it right.[A](https://openai.com/index/planning-for-agi-and-beyond/#citation-bottom-A)
Although we cannot predict exactly what will happen, and of course our current progress could hit a wall, we can articulate the principles we care about most:
1. We want AGI to empower humanity to maximally flourish in the universe. We don’t expect the future to be an unqualified utopia, but we want to maximize the good and minimize the bad, and for AGI to be an amplifier of humanity.
2. We want the benefits of, access to, and governance of AGI to be widely and fairly shared.
3. We want to successfully navigate massive risks. In confronting these risks, we acknowledge that what seems right in theory often plays out more strangely than expected in practice. We believe we have to continuously learn and adapt by deploying less powerful versions of the technology in order to minimize “one shot to get it right” scenarios.
## The short term
There are several things we think are important to do now to prepare for AGI.
First, as we create successively more powerful systems, we want to deploy them and gain experience with operating them in the real world. We believe this is the best way to ca
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