We strive to anticipate and eliminate risks before deploying our technology. However, these efforts are necessarily limited given the inability of laboratory environments to predict all usages — both positive and negative. Though we do our best to research and test thoroughly, we cannot fathom all the creative and destructive applications made possible by our advances.
Real-world use is an essential factor to focus on to be able to make and distribute AI systems that are increasingly more secure as time progresses. We recognize this fact, so studying from such use is vital to the process.
We progress slowly with introducing new AI systems, in a carefully managed manner, to an increased user base while instituting appropriate safeguards. Refining our systems based on user feedback and lesson learned from their usage is integral to this process.
We offer our most advanced models through our services and as an API so that developers may incorporate the technology into their applications. This allows us to maintain more control over its use, simultaneously monitoring for misuse and continuously creating solutions to address the fundamental ways these systems are abused—not just guesswork.
We have created policies that consider the numerous advantages of our technology while still minimizing people’s vulnerability due to our ever-growing real-world experience. These regulations are designed to tackle dangerous behaviors and help prevent potential risks.
We need to allow society to adjust to more advanced AI, and we believe that those affected should be given a prominent role in determining how this technology progresses. Crucially, enough time must be given for society to adapt.
Iterative deployment has enabled us to involve a wider range of stakeholders in the conversation surrounding AI technology adoption by providing them with direct, hands-on experience. This has been more successful than if we had not implemented these initiatives.
Collaboration and communication among different stakeholders are key to ensuring AI safety. We must work together to establish standards and guidelines for AI development, promote education and awareness about AI and its potential risks, and establish mechanisms for oversight and regulation.
While AI presents significant opportunities for innovation and progress, it also poses potential risks. By adopting a comprehensive and proactive approach to AI safety, we can ensure that AI benefits society while minimizing its risks.