Unpacking the dynamics of generative AI use in our daily lives: towards an integrative trust calibration framework
The growing use of conversational generative AI agents by an increasingly diverse set of individuals gives rise to the following question: How do individuals calibrate their trust in a dynamic, seemingly general-purpose technology that learns from and adapts to their behavior and may take an increasingly central role in their online interactions? In this article, we propose the first steps towards an integrative framework for trust calibration in genAI agents focusing on individuals using these
Record details
Published: 11 August 2026
Source: AI & Society
Category: Research
Topics: Agents & autonomy
Retrieved: 12 August 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Toward a Theory of Value in AI Alignment
arXiv · 10 August 2026
Hierarchical Compositionality for An Assistive AI Agent
arXiv · 11 August 2026
Nutrition Data Infrastructure for the AI Era: Operationalizing FAIR for Agent-Mediated Research
arXiv · 11 August 2026
Self-evolving Agentic Customer Support System at LinkedIn
arXiv · 10 August 2026
SKILLER: Language-Level Reinforcement Learning for Reusable Skill Extraction in Small Language Models
HuggingFace Daily Papers · 10 August 2026
Self-Evolving Embodied Agents via Skill-Harness Evolution
HuggingFace Daily Papers · 10 August 2026
How to cite this record
ethics.ai (11 August 2026), “Unpacking the dynamics of generative AI use in our daily lives: towards an integrative trust calibration framework,” evidence record 18470, https://ethics.ai/record/18470 (originally published by AI & Society).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.