Artificial Intelligence Narratives: An Objective Perspective on Current Developments
It addresses the need for researchers to gain a clearer, unbiased perspective on AI trends and limitations, though it is incremental as it synthesizes existing knowledge without new empirical findings.
This paper tackles the problem of misinformation in public AI narratives by providing an objective overview of current developments, aiming to help researchers understand AI as a diverse field encompassing various methods and historical movements.
This work provides a starting point for researchers interested in gaining a deeper understanding of the big picture of artificial intelligence (AI). To this end, a narrative is conveyed that allows the reader to develop an objective view on current developments that is free from false promises that dominate public communication. An essential takeaway for the reader is that AI must be understood as an umbrella term encompassing a plethora of different methods, schools of thought, and their respective historical movements. Consequently, a bottom-up strategy is pursued in which the field of AI is introduced by presenting various aspects that are characteristic of the subject. This paper is structured in three parts: (i) Discussion of current trends revealing false public narratives, (ii) an introduction to the history of AI focusing on recurring patterns and main characteristics, and (iii) a critical discussion on the limitations of current methods in the context of the potential emergence of a strong(er) AI. It should be noted that this work does not cover any of these aspects holistically; rather, the content addressed is a selection made by the author and subject to a didactic strategy.