OSF
open access
A questionnaire survey on context-dependent requirements for the trustworthiness of artificial intelligence and humans
Trustworthiness has become an important focus of artificial intelligence (AI) research. Although trustworthiness is a multifaceted concept and its requirements may depend on the context in which AI is used, little is known about how the public perceives these requirements. To address this issue, we
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
OSF
Related documents
- A questionnaire survey on context-dependent requirements for the trustworthiness of artificial intelligence and humans#1081545
- Towards transparent artificial intelligence: Unravelling the black-box behaviour of intelligent agents#1121554
- Toward a Multilevel Model of Algorithmic Sociocognitive Mediation in Human-AI Interaction#313381
- AI Deployment Accountability Engineering: A Vision for Accountable AI in Safety-Critical Socio-Technical Systems#1084535
- Zero Hallucination, by Construction: Hallucination-Aware Layered Oversight for Trustworthy Enterprise AI#820557
Record · ID 1081429 · SHA-256 181194287ca0a0b3
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive