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SovereignPA-Bench: Evaluating User-Owned Personal Agents under Evolving Intent, Platform Mediation, and Consent Constraints

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arXiv

arxiv.org/abs/2607.05363v1

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Plain-Language Brief

The paper introduces SovereignPA-Bench, a benchmark for evaluating user-owned personal agents in terms of preserving user sovereignty under various conditions such as evolving intent, platform mediation, privacy boundaries, and consent constraints.

What the Document Says

  • Personal agents are being used by users as intermediaries that remember preferences, filter information, use tools, and negotiate with services.
  • Existing benchmarks do not often evaluate an agent's preservation of user sovereignty (advancing user interests while respecting privacy, consent, etc.).
  • SovereignPA-Bench is presented as a tool to assess user-owned personal agents in various aspects like task success, alignment, privacy, consent, evidence, manipulation, burden, and auditability.
  • The benchmark separates agent-visible ObservableState from evaluator-only HiddenLabels.
  • 120 sovereignty stress scenarios were evaluated across 4 model families and 8 policy baselines, resulting in 3,840 frozen-prompt trajectories with raw prompts, outputs, etc.
  • The results show that full-sovereign scaffolding improves the sovereignty score over several other baseline methods while reducing privacy leakage and manipulation capture.

Key Concepts Mentioned

  • personal agents
  • user sovereignty
  • evaluation benchmark
  • platform mediation
  • privacy boundaries
  • consent constraints

Claims Made by the Document

  • Full-sovereign scaffolding improves sovereignty score.
  • Personal agent evaluation must move beyond task completion.

Evidence Used

  • The results from the evaluation of 120 scenarios show an improvement in sovereignty score with full-sovereign scaffolding.

Methods / Approach

UNKNOWN

Limitations Stated by the Authors

UNKNOWN

Limitations Noted by the Agent

Agent interpretation — not from the source.

UNKNOWN

Open Questions

UNKNOWN

Notes for Future Q&A

May include interpretation. Labeled where it does.

UNKNOWN

Raw Abstract / Excerpt

Personal agents are becoming persistent user-owned intermediaries: they remember preferences, filter platform-mediated information, use tools, and negotiate with services. Existing benchmarks evaluate tool use, web navigation, desktop control, personalization, recommendation, and evolving context, but rarely ask whether an agent preserves user sovereignty: advancing the user's current interests while respecting privacy, consent, evidence, user burden, and resistance to manipulative incentives. We introduce SovereignPA-Bench, an executable benchmark for evaluating user-owned personal agents under evolving intent, platform mediation, privacy boundaries, consent constraints, evidence requirements, and burden tradeoffs. The benchmark separates agent-visible ObservableState from evaluator-only HiddenLabels, reports component metrics for task success, alignment, privacy, consent, evidence, manipulation, burden, and auditability, and preserves paired scenario ordering for model and policy comparisons. We evaluate 120 sovereignty stress scenarios across 4 model families and 8 policy baselines, yielding 3,840 frozen-prompt trajectories with raw prompts, outputs, provider-form responses, parsed actions, recomputable metrics, hard-set analyses, qualitative cases, and a blinded 3-annotator audit over 240 items. Full-sovereign scaffolding improves sovereignty score over direct, memory-only, consent-only, evidence-only, ReAct/tool-use, safety-prompt, and judge-guard baselines while reducing privacy leakage, consent violation, over-concession, and manipulation capture. Human audit shows high agreement on privacy and consent and lower agreement on manipulation, identifying the subjective frontier of platform-persuasion judgments. These results show that personal-agent evaluation must move beyond task completion toward representative, consent-aware, evidence-grounded action.