Artificial Intelligence, or better Machine Learning, is increasingly becoming part of everyday IT, but it is still unclear (at least to me) which are its real potentials, limits, risks etc.

For example, very recently there have been 2 somehow contradictory news from Google/Alphabet funded research in AI/ML:

• the paper “Underspecification Presents Challenges for Credibility in Modern Machine Learning” (here the full paper) studies some possible reasons why “ML models often exhibit unexpectedly poor behaviour when they are deployed in real-world domains“, but it is unclear (at least to me) how much these Challenges can be overcome;
• CASP has announced (here the announcement) that DeepMind AlphaFold has practically solved the problem of predicting how proteins fold, which is fundamental to find cures to almost all diseases, including cancer, dementia and even infectious diseases such as COVID-19.