Where lies the grail? AI, common sense, and human practical intelligence

Phenomenology and the Cognitive Sciences:1-22 (forthcoming)
  Copy   BIBTEX

Abstract

The creation of machines with intelligence comparable to human beings—so-called "human-level” and “general” intelligence—is often regarded as the Holy Grail of Artificial Intelligence (AI) research. However, many prominent discussions of AI lean heavily on the notion of human-level intelligence to frame AI research, but then rely on conceptions of human cognitive capacities, including “common sense,” that are sketchy, one-sided, philosophically loaded, and highly contestable. Our goal in this essay is to bring into view some underappreciated features of the practical intelligence involved in ordinary human agency. These features of practical intelligence are implicit in the structure of our first-person experience of embodied and situated agency, deliberation, and human interaction. We argue that spelling out these features and their implications reveals a fundamental distinction between two forms of intelligence in action, or what we call “efficient task-completion” versus “intelligent engagement in activity.” This distinction helps us to see what is missing from some widely accepted ways of thinking about human-level intelligence in AI, and how human common sense is actually tied, conceptually, to the ideal of practical wisdom, or good (normative) judgment about how to act and live well. Finally, our analysis, if sound, also has implications for the important ethical question of what it means to have AI systems that are aligned with human values, or the so-called “value alignment” problem for artificial intelligence.

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 101,225

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Human and Artificial Intelligence: A Critical Comparison.Thomas Fuchs - 2022 - In Rainer M. Holm-Hadulla, Joachim Funke & Michael Wink (eds.), Intelligence - Theories and Applications. Springer. pp. 249-259.
How Much Like Us Do We Want AIs to Be?Eric Dietrich, Chris Fields, John P. Sullins, Bram Van Heuveln & Robin Zebrowski - 2024 - Techné Research in Philosophy and Technology 28 (2):137-168.

Analytics

Added to PP
2023-11-04

Downloads
47 (#468,162)

6 months
20 (#145,561)

Historical graph of downloads
How can I increase my downloads?

Author Profiles

William Hasselberger
Universidade Católica Portuguesa
Micah Lott
Boston College

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references