AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
The paper critiques the EU AI Act’s deprioritising human trust, advocating for enhanced individual rights and citizen participation in AI governance, to mitigate trust gaps and the declining role of fiduciary relationships.
Assessing the effects of technology reliability (RL), credibility (CR) and technical competence (TEC) on HR professionals’ trust and, subsequently, their intent to deploy AI tools reveals that technology RL, CR and TEC each enhance trust in AI.
It is argued that understanding how perceived trustworthiness is formed and expressed by users can provide a basis for human oversight of AI systems in the wild and how capturing, measuring, and aggregating perceived trustworthiness can be incorporated into oversight processes without substituting accountability mechan...
The present study replicates the path model developed by Karg, Ritz and Asprion (2025) using a business sample to assess the robustness of the original findings and to advance theory building, which largely supports the original findings.
A trust-based mechanism connecting institutional trust, risk perception, AI service trust, and behavioral intention in China's digital government context is examined to indicate that perceived risk constrains acceptance of AI-enabled public services.
The software supply chain is becoming more complex, and AI is reshaping its threat landscape, e.g., raising concerns about the quality of AI-generated dependencies. Seen through the lens of trust, the stakes of eroding trust in the software supply chain are high, yet we lack an empirical baseline on practitioners'trust...
What drives public trust in artificial intelligence (AI)? This study examines the individual and institutional foundations of AI trust across two contrasting democracies: Japan and the United Kingdom. Drawing on original survey data ( N = 3235), we test a set of hypotheses derived from trust-transfer perspective...
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