R0043/2026-04-01/Q001/SRC08
Aviation human factors research on human-AI teaming terminology
Source
| Field |
Value |
| Title |
Human Factors Requirements for Human-AI Teaming in Aviation |
| Publisher |
MDPI |
| Author(s) |
Multiple |
| Date |
January 2025 |
| URL |
https://www.mdpi.com/2673-7590/5/2/42 |
| Type |
Research article |
Summary
| Dimension |
Rating |
| Reliability |
Medium-High |
| Relevance |
High |
| Bias: Missing data |
Low risk |
| Bias: Measurement |
Low risk |
| Bias: Selective reporting |
Low risk |
| Bias: Randomization |
N/A -- not an RCT |
| Bias: Protocol deviation |
N/A -- not an RCT |
| Bias: COI/Funding |
Low risk |
Rationale
| Dimension |
Rationale |
| Reliability |
Peer-reviewed journal article; MDPI is open-access but peer-reviewed |
| Relevance |
Directly addresses the inadequacy of current terminology for human-AI interaction |
| Bias flags |
Academic research; no commercial interest |
| Evidence ID |
Summary |
| SRC08-E01 |
Aviation terminology including the four-category taxonomy (use, misuse, disuse, abuse) and the argument that existing terms are inadequate for AI |