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Artificial Intelligence as a field of research and also its criticism is dominated by notions such as ‘intelligence’, ‘learning’ or ‘neuronal’. This paper discusses how the use of anthropomorphising language is fueling AI hype. AI hype involves many promises, such as that ‘AI can be creative’, or ‘AI can solve world hunger’. This hype is problematic since it covers up the negative consequences of AI use. Instead, the author proposes to use alternative terminology such as: ‘Automated Pattern Recognition’, ‘Machine Conditioning’, or ‘Weighted Network’.
Machine Learning, Artificial Intelligence, Hype, AI Critique, AI Ethics
Machine Learning, Artificial Intelligence, Hype, AI Critique, AI Ethics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 6K | |
| downloads | 776 |

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