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Source note2 min read

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

Source

arXiv

arxiv.org/abs/2607.05363v1

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Plain-Language Brief

The text introduces a new benchmark called SovereignPA-Bench for evaluating user-owned personal agents. The benchmark focuses on aspects like preserving user sovereignty, privacy, consent, and resisting manipulative incentives under evolving intent, platform mediation, and consent constraints.

What the Document Says

  • Personal agents are intermediaries that remember preferences, filter information, use tools, and negotiate with services.
  • SovereignPA-Bench is an evaluative benchmark for user-owned personal agents.
  • The benchmark focuses on task success, alignment, privacy, consent, evidence, manipulation, burden, and auditability.
  • It separates agent-visible ObservableState from evaluator-only HiddenLabels.
  • The text mentions 120 sovereignty stress scenarios across 4 model families and 8 policy baselines.
  • Full-sovereign scaffolding improves sovereignty score compared to several other baselines, while reducing privacy leakage, consent violation, over-concession, and manipulation capture.
  • Human audit shows high agreement on privacy and consent, but lower agreement on manipulation.

Key Concepts Mentioned

  • personal agents
  • SovereignPA-Bench
  • user sovereignty
  • privacy
  • consent
  • evolving intent
  • platform mediation
  • consent constraints
  • burden tradeoffs

Claims Made by the Document

  • Personal agents must consider user sovereignty beyond task completion.
  • SovereignPA-Bench can evaluate user-owned personal agents under specific conditions.
  • Full-sovereign scaffolding outperforms several other baselines in terms of sovereignty, privacy leakage, consent violation, over-concession, and manipulation capture.

Evidence Used

  • The text describes SovereignPA-Bench as an evaluative benchmark for user-owned personal agents.
  • The benchmark's focus on various metrics is detailed in the text.
  • Comparisons between full-sovereign scaffolding and other baselines are presented.

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.