AIR5: Five Pillars of Artificial Intelligence Research
This work provides a conceptual framework to guide future research in AI and CI, but it is incremental as it synthesizes existing ideas without introducing new methods or data.
The paper identifies five key research questions—rationalizability, resilience, reproducibility, realism, and responsibility—as fundamental pillars for advancing artificial intelligence and computational intelligence, framing them as essential elements for the sustained growth of these fields.
In this article, we provide and overview of what we consider to be some of the most pressing research questions facing the fields of artificial intelligence (AI) and computational intelligence (CI); with the latter focusing on algorithms that are inspired by various natural phenomena. We demarcate these questions using five unique Rs - namely, (i) rationalizability, (ii) resilience, (iii) reproducibility, (iv) realism, and (v) responsibility. Notably, just as air serves as the basic element of biological life, the term AIR5 - cumulatively referring to the five aforementioned Rs - is introduced herein to mark some of the basic elements of artificial life (supporting the sustained growth of AI and CI). A brief summary of each of the Rs is presented, highlighting their relevance as pillars of future research in this arena.