Governance & Compliance · Data artifact

Value Alignment Criteria

Data artifactGovernance & ComplianceSafety, Security & Governancearc:ValueAlignmentCriteria

Explicit criteria distinguishing legitimate proactive assistance, which serves users' stated goals and values, from manipulative intervention that exploits user weaknesses or psychological triggers.

Responsibility. Defines which proactive behaviours are permissible versus manipulative.

Also known as: Anti-manipulation criteria, Personalization ethics boundary

Direct neighbourhood (hover for relationship types)

Relationships

constrains control

Design guidance

MUST define explicitly which proactive behaviours serve user interests versus exploit them; engagement optimization alone cannot make this distinction.

Classification

Quality attributes: Interaction capability (ISO/IEC 25010)Transparency and accountability (NIST AI RMF: accountable and transparent)
Risks mitigated: Dark patternsDigital manipulationEngagement optimization against user values

Sources

Ch10.2: T. Nguyen, "Proactive Agents," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 10.2. ISBN: 9798244538229.