<?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-04">
   <front>
      <title>HJS: An Accountability Layer for AI Agents(v0.4) Event Recording Layer for AI Agents</title>
      <author initials="Y." surname="wang" fullname="yuqiang wang">
         </author>
      <date month="March" day="29" year="2026" />
      <abstract>
	 <t>This document defines the HJS: An Accountability Layer for AI Agents v0.4,
an event recording layer designed for AI decision-making systems. HJS
implements strict traceability and immutability of AI machine behavior,
with configurable human identity protection, enabling AI decision chains
that are cryptographically verifiable and fully auditable.

HJS does not assign legal liability, enforce monitoring, or manage
authorization distribution. It provides only verifiable records of AI
behavior and optional privacy protection for human participants to
balance transparency with individual rights.

	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-wang-hjs-accountability-04" />
   
</reference>
