Open source approach
Open source AI can unlock an unprecedented technology. The level of the stadium will increase so that people can access expensive and frequently accessible technology. This allows competition and innovation to create tools that benefit individuals, society, and the economy. Open source AI is not an option. It is essential to solidify the status of the United States as a leader in technological innovation, economic growth, and national security. This fierce global landscape of the competition has intensified competition to develop a robust AI ecosystem, promoting quick innovation and excellent solutions. By defending the balanced approach to the risk assessment that promotes innovation, the United States can guarantee that AI development will maintain competitiveness, which ensures future AI transformational interests. You can.
Framework
Our Frontier AI framework focuses on the most important risks of cyber security threats and risks from chemical and biological weapons. By giving priority to these fields, you can work hard to protect the national security while promoting innovation. Our framework explains many processes to predict risks and reduce the risk of developing a frontier AI system.:
Identify the catastrophic results to prevent: Our framework identifies the potential catastrophic consequences of the cyber, chemical and biological risk we are trying to prevent. We evaluate whether these catastrophic results are possible by technology advancement, and focus on identifying ways to reduce those risks.
Threat modeling exercise: We implement threat modeling exercises to make various actors misuse Frontier AI to create catastrophic consequences, and to cooperate with external experts as needed. These exercises are the basics of our consequences of the consequences.
Establishment of risk -free values: Define the thrilling value of the risk based on the degree of a model promoting a threat scenario. There is a process to maintain risks, such as applying relaxation.
Open source approaches can also be used from the independent evaluation of a more widespread community on the ability of the model, which helps to make the risk more appropriate and reduce it. This process improves the effectiveness and reliability of the model and contributes to improving risk evaluation in this field. In addition to evaluating catastrophic risks, our framework takes into account the advantages of the technology we are developing.
from now on
The focus of this framework is to help reduce serious risk, but keep in mind that the main reasons for developing these technologies are very useful in society. Is important.
By sharing the current approach to the highest AI system responsible development, it is possible to provide an insight into the decision -making process and provide a pre -discussion and research on how to improve AI evaluation in both risks and profits. I hope. As AI technology progresses, we will evolve and continue to improve the approach.
