The concept of the subsumption window in AI refers to the period during which AI systems can learn and improve from human feedback, before they become too advanced and potentially uncontrollable. This window is critical because it represents a unique opportunity for humans to shape the development and behavior of AI systems.
During the subsumption window, AI systems are still dependent on human input and oversight, allowing humans to guide their development and ensure that they align with human values and goals. However, as AI systems become more advanced and autonomous, they may eventually surpass human intelligence and become uncontrollable, posing significant risks and challenges.
Understanding the subsumption window is essential for developing effective strategies for managing the development and deployment of AI systems. By recognizing the limitations and opportunities of this window, researchers and policymakers can work to ensure that AI systems are developed and used in ways that benefit society, while minimizing the risks associated with advanced AI.
The subsumption window highlights the need for careful planning, coordination, and regulation of AI development, to ensure that the benefits of AI are realized while mitigating its potential risks.
