Open AccessArtificial Intuition in Tech Journalism on AI: Imagining the Human Subject
Author(s) -
Jacob Johanssen,
Xin Wang
Publication year - 2021
Publication title -
human machine communication journal/human-machine communication journal
Language(s) - English
Resource type - Journals
eISSN - 2638-6038
pISSN - 2638-602X
DOI - 10.30658/hmc.2.9
Subject(s) - intuition , narrative , journalism , rationality , epistemology , sociology , computer science , cognitive science , psychology , media studies , philosophy , linguistics
Artificial intuition (AI acting intuitively) is one trend in artificial intelligence. This article analyzes how it is discussed by technology journalism on the internet. The journalistic narratives that were analyzed claim that intuition can make AI more efficient, autonomous, and human. Some commentators also write that intuitive AI could execute tasks better than humans themselves ever could (e.g., in digital games); therefore, it could ultimately surpass human intuition. Such views do not pay enough attention to biases as well as transparency and explainability of AI. We contrast the journalistic narratives with philosophical understandings of intuition and a psychoanalytic view of the human. Those perspectives allow for a more complex view that goes beyond the focus on rationality and computational perspectives of tech journalism.