Spaces:
Sleeping
Sleeping
File size: 1,511 Bytes
f2b2ace |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
# Artificial Intelligence, FOIA, and the Architecture of Democratic Transparency
## Abstract
This article examines Federal FOIA Intelligence Search as a case study
in the responsible deployment of artificial intelligence within public
records research.
It argues that **architectural restraint**, not model sophistication,
is the key determinant of legitimacy in civic AI systems.
---
## I. Introduction
FOIA was designed for an analog era. As records proliferate, the challenge
has shifted from access to navigation.
AI promises assistance—but introduces risk.
---
## II. Design Philosophy
The system adopts four governing principles:
1. No data custody
2. No automation of judgment
3. No opacity
4. No default AI
This sharply contrasts with commercial AI search tools.
---
## III. Evidentiary Boundaries
By separating:
- Source material
- Organizational metadata
- Analytical commentary
the system preserves traditional evidentiary doctrine.
---
## IV. Institutional Trust
Courts, journalists, and agencies rely on predictability.
Explicit AI disclosures and hashes restore that predictability.
---
## V. Implications for FOIA Reform
Rather than expanding AI authority, policymakers should:
- Standardize reading rooms
- Improve metadata
- Preserve human accountability
---
## VI. Conclusion
> The future of transparency does not require smarter machines—
only better boundaries.
Federal FOIA Intelligence Search demonstrates that such boundaries are
both feasible and effective. |