<?xml version="1.0" encoding="UTF-8"?>
<reference anchor="I-D.wang-hjs-accountability" target="https://datatracker.ietf.org/doc/html/draft-wang-hjs-accountability-03">
   <front>
      <title>Abstract</title>
      <author initials="Y." surname="wang" fullname="yuqiang wang">
         </author>
      <date month="March" day="29" year="2026" />
      <abstract>
	 <t>   This document defines the Human Judgment System (HJS) v0.3, a privacy-
   flexible accountability layer designed for AI decision systems. HJS
   enforces strict traceability and immutability for AI machine behavior,
   while supporting configurable human identity protection. AI decision
   chains are cryptographically verifiable and fully auditable, and human
   actors MAY remain anonymous, unlinkable, and free from permanent
   tracking.

   This protocol solves the critical flaw of conventional blockchain and
   audit frameworks (mandatory full transparency of all actors), aligning
   with global AI regulations (EU AI Act, national AI security rules) and
   privacy laws. HJS does not assign legal liability, does not implement
   surveillance, and does not govern authority allocation. It only
   provides verifiable records of AI behavior, with optional privacy
   protections for human participants to balance transparency and
   individual rights.

	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-wang-hjs-accountability-03" />
   
</reference>
