Gabriella Kereszturi, Senior Lecturer in Marketing at The University of Law Business School, walks us through the hype around artificial intelligence
Artificial intelligence (AI) has been a much-debated topic over the past decades due to its rapid development. The hype around artificial intelligence (AI) involves a key part of computer science and can be understood as computers that display human-like behaviour based on data collected and stored historically, enabling them to recognise and use patterns in their responses.
At its inception, in the 1950’s, AI was very basic and consisted of computers reacting to commands. However, this encountered hurdles in its further development due to the lack of storage and wider processing capabilities. Further developments in AI took place in the 1980s, expanding the algorithmic toolkit and computers by learning through experience.
For example, computers obtained the ability to play and win games against humans, such as world champions in chess. Now, AI can be divided into two main categories: functionality-based and capability- based. The functionality-based AI ranges from reactive machines, with limited responsiveness to self-aware ones, where theoretically computers could understand human emotions. The capabilities-based AI ranges from artificial narrow intelligence, where narrowly defined performance tasks can be carried out, to artificial super intelligence, where computers can perform tasks better than humans.