Artificial Intelligence (AI) offers the potential to transform our lives in radical ways. However, not only do we lack the tools to determine what achievements will be attained in the near future, but we even underestimate what various technologies in AI are capable of today. Certainly, the translation from scientific papers and benchmark performance to products is faster in AI than in other non-digital sectors.
However, it is often the case that research breakthroughs do not directly translate to a technology that is ready to use in real-world environments. This document describes an example-based methodology to categorise and assess several AI technologies, by mapping them onto Technology Readiness Levels (TRL) (e.g., maturity and availability levels).
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