Artificial Intelligence as a Culturological Problem

P L Zaitsev

Article Details

Artificial Intelligence as a Culturological Problem

Authors:

P L Zaitsev

Publisher:

KnE Social Sciences

Journal:

KnE Engineering Vol.3 Issue 8, pp.147-151

Document Type:

Article

Publication Date:

12/2018

Document Language:

English

Document ID (Org No.):

2001523620

pISSN:

2518-6841

Keywords:

Abstract:

 The article poses the question of cultural interpretation of artificial intelligence. It is revealed that in relation to artificial intelligence in modern culture there are at least two conflicting strategies. The first strategy is based on the idea of the superiority of artificial intelligence over the human intellect, and as a response serves as a breeding ground for the ideas of techno-apocalypse. The second strategy, which arose and developed within the framework of the Soviet Information Society project, sees in artificial intelligence the possibility of building a more perfect and just society.

Article Details

Artificial Intelligence as a Culturological Problem

Authors:

P L Zaitsev

Publisher:

KnE Social Sciences

Journal:

KnE Engineering Vol.3 Issue 8, pp.147-151

Document Type:

Article

Publication Date:

12/2018

Document Language:

English

Document ID (Org No.):

2001523620

pISSN:

2518-6841

information society

artificial intelligence

induction of artificial intelligence

cultural problem

intercultural space

Issues

Article Details

Artificial Intelligence as a Culturological Problem

Authors: P L Zaitsev

Publisher: KnE Social Sciences

Journal: KnE Engineering Vol.3 Issue 8, pp.147-151

Document Type: Article

Publication Date: 12/2018

Document Language: English

Document ID (Org No.): 2001523620

pISSN: 2518-6841

information society

artificial intelligence

induction of artificial intelligence

cultural problem

intercultural space

Issues

Authors:

P L Zaitsev

Publisher:

KnE Social Sciences

Journal:

KnE Engineering Vol.3 Issue 8, pp.147-151

Document Type:

Article

Publication Date:

12/2018

Document Language:

English

Document ID (Org No.):

2001523620

pISSN:

2518-6841