Τεχνητή νοημοσύνη : προκλήσεις, ζητήματα και ευκαιρίες

Χατζηγεωργίου, Θεόδωρος - Ραφαήλ

Master Thesis

Author

Χατζηγεωργίου, Θεόδωρος - Ραφαήλ

Date

2022

Abstract

Artificial Intelligence is a branch of Information Science. As a term, Artificial Intelligence describes the field of computer science, which investigates the relationship between human intelligence and computer intelligence (and computer systems in general). Its methods are memory, learning, knowledge, perception, and creativity. The techniques of this science are Machine Learning, Deep Learning, Reinforcement Learning, Supervised Learning and Unsupervised Learning. Since the 1950s, when the term "Artificial Intelligence" was first heard, there have been myths and misunderstandings influencing public opinion. Artificial Intelligence is divided into three types, Special Artificial Intelligence, Artificial General Intelligence and Artificial Hypersensitivity. Artificial Intelligence is now found in every field of human activity. From communications and industry to transportation and autonomous weapons systems. Of course, this type of Artificial Intelligence, called Special Artificial Intelligence, is a simple tool to perform, quickly and efficiently, tasks assigned by man. Countries have also presented their strategies on how to harness Artificial Intelligence and integrate it into the new Digital Transformation. Artificial Intelligence affects the present but will further affect the future of humans in various areas of human activity. Of course, there are ethical dilemmas as to whether Artificial Intelligence will be controlled in the future. Will the person be incapable of work? Will machines or Artificial Intelligence systems in general replace man in all his fields of action? What is urgent and of the utmost importance is the anthropocentric approach that Artificial Intelligence researchers must take to be able to control such systems.

Postgraduate Studies Programme

Ψηφιακά Συστήματα και Υπηρεσίες

Department

Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών Συστημάτων

Number of pages

111

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/14455
http://dx.doi.org/10.26267/unipi_dione/1878

Collections

Τμήμα Ψηφιακών Συστημάτων

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Αναφορά Δημιουργού-Όχι Παράγωγα Έργα 3.0 Ελλάδα