The growing importance and relevance of artificial intelligence (AI) to humanity is undisputed: AI assistants and recommendations, for instance, are increasingly embedded in our daily lives. However, AI does not seem to have a universally agreed definition. Our classification methodology contributes to the understanding of an evolving field with a shifting structure. AI clusters around the areas of Search and Optimization, Fuzzy Systems, Natural Language Processing and Knowledge Representation, Computer Vision, Machine Learning and Probabilistic Reasoning, Planning and Decision Making, and Neural Networks.

In 2020 Prof. Loreta Huber (PI at EureCons GmbH) in her publication “Digitalization, Artificial Intelligence (AI) and the way it will change our future: the changes we should not be afraid of”, discussed the role of AI in our future (read the article in Lithuanian here).
“The future will require technological digitalization and information management skills, it will be full of colors and intoxicating lights, but will also need to achieve, ensure and perpetuate the quality of relationship among members of our society, different generations, empathy and openness to dialogue” (Huber 2020).

Today we are happy to share insights by Dan Olley, Chief Technology Officer (CTO), Elsevier, United States and his Team, who claim that “Europe is the largest and most diverse region in terms of AI scholarly output, with high and rising levels of international collaborations outside of Europe. However, Europe appears to be losing AI talent in recent years, especially in academia.”

Nevertheless, Alessandro Annoni believes that “we are only at the beginning of a rapid period of transformation of our economy and society due to the convergence of many digital technologies. Looking at the world of digital transformation, we live in an era that can be defined as the “Cambrian explosion of data”, and advanced data analytics are needed for us to navigate this world. AI is central to this change and offers major opportunities to improve our lives but ethical and secure-by-design algorithms are crucial to building trust in this disruptive technology. We also need a broader engagement of civil society on the values that need to be embedded in AI and the directions for future development.” (Alessandro Annoni Head of Digital Economy Unit, Joint Research Centre, European Commission)

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