Artificial Intelligence Narratives: An Objective Perspective on Current Developments
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 6 of its 52 references that are in the map. First posted on arXiv 18 Mar 2021.
Builds on
6 of 52 references.
References · 6
- 2016Practical Black-Box Attacks against Machine Learningcited by 893
- 2019A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAIcited by 403
- 2018A Survey on Data Collection for Machine Learning: a Big Data -- AI Integration Perspectivecited by 111
- 2014Differential Privacy and Machine Learning: a Survey and Reviewcited by 66
- 2015Massively Multitask Networks for Drug Discoverycited by 49
- 2017When Will AI Exceed Human Performance? Evidence from AI Expertscited by 41
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Citing papers per year: 2024: 1.
1 paper.