AI Preferences Signaling: End User Impact
draft-farzdusa-aipref-enduser-00
| Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
|
|
|---|---|---|---|
| Authors | Farzaneh , Lila Bailey , Jo Levy | ||
| Last updated | 2026-05-30 (Latest revision 2025-11-26) | ||
| RFC stream | (None) | ||
| Intended RFC status | (None) | ||
| Formats | |||
| Stream | Stream state | (No stream defined) | |
| Consensus boilerplate | Unknown | ||
| RFC Editor Note | (None) | ||
| IESG | IESG state | Expired | |
| Telechat date | (None) | ||
| Responsible AD | (None) | ||
| Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
Standards can have a major impact on end users across technological, legal, ethical, and governance dimensions, largely centering around access to information, control over their digital contributions, and data privacy. The purpose of this Internet Draft is to document the potential impact of signaling AI preferences on end users other than publishers, and to suggest some principles for the ai-pref working group to consider when assessing proposed vocabulary and definitions IETF wishes to standardize for signaling.
Authors
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)