R0021/2026-03-25/Q007
Query: What published research exists on AI decision auditing, explainability requirements, or judgment logging in automated AI systems?
BLUF: Substantial research exists. DARPA invested in a 4-year XAI program (2017-2021). The EU mandates AI explainability through GDPR and the AI Act. Over 2,400 XAI papers were published between 2022-2025 alone. However, practical deployment faces challenges — post-hoc explanation methods are approximations, and traceability constraints hinder regulatory compliance.
Answer: H3 (Active, growing, but challenges remain) · Confidence: High
Summary
| Entity |
Description |
| Query Definition |
Question as received, clarified, ambiguities, sub-questions |
| Assessment |
Full analytical product |
| ACH Matrix |
Evidence × hypotheses diagnosticity analysis |
| Self-Audit |
ROBIS-adapted 4-domain process audit |
Hypotheses
| ID |
Statement |
Status |
| H1 |
Substantial research with practical frameworks |
Partially supported |
| H2 |
Research is minimal or theoretical |
Eliminated |
| H3 |
Active and growing but challenges remain |
Supported |
Key Programs and Frameworks
| Program |
Scope |
Status |
| DARPA XAI |
Explainable AI research (2017-2021) |
Completed; XAITK toolkit released |
| GDPR Article 22 |
Right to explanation for automated decisions |
Active law |
| EU AI Act Article 86 |
"Clear and meaningful explanations" requirement |
Effective 2024-2025 |
| XAI Research Field |
2,425 papers published 2022-2025 |
Rapidly growing |
Searches
| ID |
Target |
Type |
Outcome |
| S01 |
XAI research papers |
WebSearch |
3 selected, 7 rejected |
| S02 |
DARPA XAI program |
WebSearch |
3 selected, 7 rejected |
Sources