SovereignPA-Bench: Evaluating User-Owned Personal Agents under Evolving Intent, Platform Mediation, and Consent Constraints
arXiv:2607.05363v1 Announce Type: new Abstract: 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 benchma
The proliferation of personal AI agents necessitates robust evaluation frameworks to address critical aspects beyond mere functionality, especially as these agents assume more critical user-facing roles.
This benchmark introduces a crucial lens for evaluating AI agents, emphasizing user sovereignty, privacy, and consent, which are becoming paramount for public trust and regulatory compliance.
The focus shifts from purely technical performance to ethical and user-centric considerations for personal agents, potentially influencing future development, deployment, and regulatory standards.
- · Users of personal AI agents
- · Developers of ethical AI
- · Privacy-focused AI platforms
- · AI agents designed for manipulative incentives
- · Platforms with weak privacy controls
- · Developers ignoring user sovereignty
The benchmark will drive the development of more trustworthy and user-aligned personal AI agents.
Increased user trust in AI agents could accelerate their adoption across various sectors, leading to more nuanced regulatory frameworks.
The concept of 'user sovereignty' could become a foundational principle in AI development, extending to other forms of human-AI interaction and digital rights.
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Read at arXiv cs.AI