=Paper=
{{Paper
|id=Vol-2852/abstract2
|storemode=property
|title=Artificial Intelligence: Trends and Challenges - Abstract
|pdfUrl=https://ceur-ws.org/Vol-2852/abstract2.pdf
|volume=Vol-2852
|authors=Sergei Kuznetsov
}}
==Artificial Intelligence: Trends and Challenges - Abstract==
<pdf width="1500px">https://ceur-ws.org/Vol-2852/abstract2.pdf</pdf>
<pre>
Artificial Intelligence: Trends and Challenges - Abstract
Sergei Kuznetsov

     National Research University Higher School of Economics, Moscow, Russia

                 Abstract
                 In this talk, dedicated to the memory of two first presidents of the Russian Association for
                 Artificial Intelligence, Dmitry A. Pospelov and Gennady S. Osipov, I will cover some aspects
                 of the history of AI. The contours of this multifaceted discipline will be discussed, most striking
                 recent achievements, societal implications and challenges will be highlighted. I would also
                 touch the history of AI research in Russia [1], as well as recent advances in NLP research at
                 Higher School of Economics, based on graph text models, called parse thickets, and their
                 processing with techniques based on lattices of closed descriptions.
                 AI has a long prehistory in various branches of science, including philosophy, logics,
                 neurophysiology and computer science. The term was coined by John McCarthy after the
                 famous Dartmouth seminar in 1956. By 2020 after several waves of interest and
                 disillusionment AI became one of the hottest scientific and technological frontiers. Almost
                 every branch of human activity is experiencing the arrival of AI-based approaches. Recently
                 most striking applications of AI in computer vision, speech understanding and modeling are
                 related to the breakthrough in artificial neural networks. However, their instability and lack of
                 interpretability, which have serious societal implications urge the appearance of new
                 approaches to interpretable and explainable AI.




Proceedings of the Linguistic Forum 2020: Language and Artificial Intelligence, November 12-14, 2020, Moscow, Russia
EMAIL: skuznetsov@hse.ru
ORCID: 0000-0003-3284-9001
              ©️ 2020 Copyright for this paper by its authors.
              Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
              CEUR Workshop Proceedings (CEUR-WS.org)

</pre>