Rethinking Human-AI interactions through the maintainability: a new criterion for Trust and Glue in the Extended Mind Thesis
Deivide Garcia da Silva Oliveira
Trans/Form/Ação April 3, 2025 DOI: 10.1590/0101-3173.2025.v48.n5.e025061 (opens in new tab) via DOAJ
Summary
AI-generated from the abstractThe paper explores the Extended Mind Hypothesis (ExM), which suggests that cognitive processes extend beyond the brain to include external tools and technologies. It examines how ExM changes the understanding of human-AI interaction, challenging the Standard model of AI by arguing that AI, as an active non-organic agent, influences cognition more profoundly than expected. The authors propose adding 'maintainability' as a fourth criterion to ExM's Trust and Glue criteria—alongside trustworthiness, reliability, and accessibility—to better evaluate parity in coupled systems and address concerns about control. They highlight risks from AI's understanding of human psychology, which may cause unintended shifts in objectives and choices, concluding that maintainability is a critical safeguard against evolving challenges in human-AI integration.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Extended mind hypothesis Disruptive technologies |
| Key finding | Proposes that maintainability be added as a fourth criterion to the Trust and Glue criteria of the Extended Mind Hypothesis to address control concerns in human-AI interactions. |
Abstract
This paper explores the implications of the Extended Mind Hypothesis (ExM), as introduced by Andy Clark and David Chalmers in 1998. Focusing on cognitive integration and the Trust and Glue criteria, we have two objectives. First, we examine how ExM reshapes perspectives on human-AI interaction, particularly by challenging the Standard model of AI. We argue that AI, as an active non-organic agent, significantly influences cognitive processes beyond initial expectations. Secondly, we propose the maintainability as a fourth criterion in the Trust and Glue criteria of ExM, in addition to trustworthiness, reliability and accessibility. This addition aims to evaluate parity in coupled systems comprehensively addressing concerns about control in human-AI interactions. We highlight the risks posed by AI’s understanding of human psychology, which may lead to unintended shifts in our objectives and choices. Our analysis concludes that maintainability serves as a critical safeguard against the evolving challenges of human-AI integration. Submission: 13/01/2025 – Decision: 27/02/2025 - Revision: 06/03/2025 – Publication: 04/04/2025