Abstract
While there is no consensus definition of artificial intelligence (AI), machine learning using data mining for refining pattern recognition algorithms is considered AI by most of the public and all the marketers involved. It also fits many of the definitions used by practitioners in the field. Machine learning has proven very effective for maximizing profits for social media companies and also propagating extreme ideologies such as QAnon. The distributed aspects of digital communication curated by social media machine learning and framed as a military psychological operation (psyop) has produced the current QAnon phenomena. Considering the exponential improvements pattern recognition approaches are undergoing and their expansion into many more domains, not just text and art creation but a whole range of what have been termed roboprocesses. It seems inevitable that many more new forms of political and social disruptions driven by machine learning pattern recognition AI will profoundly shape society in the near future.
Presenters
Chris Hables GrayFellow and Continuing Lecturer retired, Crown College, University of California at Santa Cruz, California, United States Angel Gordo López
Senior Lecturer, Departamento de Sociología: Metodología y Teoría, Universidad Complutense de Madrid (UCM), Madrid, Spain
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
Artificial Intelligence, Roboprocesses, Machine Learning, Gamification, QAnon
Digital Media
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