OUR MISSION IS TO ACCELERATE THE SEARCH FOR SAFE HUMAN-LEVEL ARTIFICIAL INTELLIGENCE BY ENCOURAGING, STUDYING, MAPPING AND COMPARING ROADMAPS TOWARDS THIS GOAL
There is a significant lack of unified approaches to building generally intelligent machines. Artificial intelligence research frequently operates within a very narrow field of focus, oftentimes without considering the importance of the ``big picture''. In artificial intelligence (AI) research, akin to the natural sciences, many researchers, universities and institutes frequently operate within limited boundaries, clearly defined by their narrow focus of interest. Their specialization inherently limits their consideration of the field as a whole and hence hinders progress.
In an attempt to provide a platform for better collaboration and understanding between researchers and to measure genuine progress in the search for general AI, we founded this institute. It is an initiative to investigate how to effectively and meaningfully collate and study various AI roadmaps proposed by those working in the field, map them into a common representation and therefore enable their comparison.
The institute strives to devise architecture-agnostic common terminology to compare roadmaps, allowing research groups with different internal terminologies to communicate effectively. The institute is concerned with ``big picture'' thinking, without unnecessarily focusing on local problems in the search for general AI.
The amount of research into AI has exploded over the last few years, with many new papers appearing daily. The institute is also concerned with consolidating this research into a comprehensible summary which outlines the similarities and differences among roadmaps and which maps progress in the field in general. This summary will identify where roadmaps branch and converge, show stages of roadmaps which need to be addressed by new research, and highlight examples of skills or abilities of general AI systems and testable milestones.
The output of the institute will be presented in a clear and comprehensible way to maximize its impact on as wide an audience as possible, minimizing the need for significant technical expertise, at least at its ``big picture'' level.
With a point of comparison among different roadmaps and with links to relevant research, the institute can highlight aspects of AI development where solutions exist or are needed. This means that individual researchers and research groups can take inspiration from or suggest new milestones for better roadmaps.
Finally, the institute is for the entire scientific community and everyone is invited to contribute.