The research and development of artificial intelligence (AI) technologies involve choices that extend well beyond the search for narrow engineering solutions to problems. The label ‘constructivism’ is used to capture this larger realm of social choice. Drawing on the history of AI, a distinction is made between limited artificial narrow intelligence (ANI) and artificial general intelligence (AGI). Both forms, the paper argues, carry risks. Following this history, the paper outlines how different approaches to rationality have led to different ‘tribes’ of AI. No universal model of rationality is available to AI engineers. Choice is everywhere. The paper then moves to an exploration of the links between AI and chess. It argues that chess, far from being an objective measure of rationality and intelligence, reveals the subjective biases and risks involved in the pursuit of AI. The paper moves on to provides examples of various unstable and potentially dangerous race heats taking
place in AI, including those among various AI research groups (public and private), among corporations and among states. The final section draws together the various risks of AI.

PAGES
322 – 346
DOI
All content is freely available without charge to users or their institutions. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission of the publisher or the author. Articles published in the journal are distributed under a http://creativecommons.org/licenses/by/4.0/.
Issues
Also in this issue:
-
Agnes Horvath, Magic and the Will to Science: A Political Anthropology of Liminal Technicality
-
Gibson Burrell, Ronald Hartz, David Harvie, Geoff Lightfoot, Simon Lilley and Friends, Shaping for Mediocrity: The Cancellation of Critical Thinking at our Universities
-
Bas de Boer, How Scientific Instruments Speak: Postphenomenology and Technological Mediations in Neuroscientific Practice
-
Bjørn Lomborg, False Alarm
-
How does innovation arise in the bicycle sector? The users’ role and their betrayal in the case of the ‘gravel bike’
Constructivism and its risks in artificial intelligence
Paper