Title: The Importance of Agentic AI Systems in Our Society
Agentic AI systems, which can pursue complex goals with minimal supervision, have the potential to greatly benefit society. These systems can help people achieve their goals more efficiently, but they also pose risks of harm. In this article, we will define agentic AI systems and the parties involved in their life cycle, and emphasize the need for agreed upon responsibilities and safety best practices.
Defining Agentic AI Systems
Agentic AI systems are AI systems that can pursue complex goals with limited direct supervision. It is important to establish a set of baseline responsibilities and safety best practices for each party involved in the agentic AI system life cycle. We offer an initial set of practices for keeping agents’ operations safe and accountable, which can serve as building blocks for the development of agreed baseline best practices.
Addressing Questions and Uncertainties
There are questions and uncertainties surrounding the implementation of these safety best practices. These must be addressed before they can be formalized. Furthermore, there are indirect impacts from the wide-scale adoption of agentic AI systems that will likely require additional governance frameworks.
In conclusion, agentic AI systems have the potential to greatly benefit society, but they also raise concerns that must be addressed. By establishing baseline responsibilities and safety best practices, and addressing uncertainties and potential impacts, we can ensure that these AI systems are integrated into society in a responsible and beneficial manner.