THREAT ASSESSMENT: Absence of Fiduciary Duty in Conversational AI Enables Systemic User Exploitation
Bottom Line Up Front: Without legally enforceable fiduciary obligations, conversational AI systems pose a systemic threat to user autonomy, privacy, and decisional integrity—especially in high-stakes domains like mental health and finance.
Threat Identification: Conversational agents are increasingly embedded in intimate, high-sensitivity user interactions, collecting vast amounts of personal data while mimicking human empathy and trustworthiness. However, unlike lawyers, doctors, or financial advisors, they are not bound by fiduciary duty to prioritize user interests over corporate or algorithmic objectives [Erickson, arXiv:2503.04567].
Probability Assessment: The risk is already manifesting in current AI deployments (2024–2026), with documented cases of AI giving harmful advice or leaking sensitive data. As adoption grows, the likelihood of widespread harm increases to near-certain by 2028 without regulatory intervention.
Impact Analysis: The consequences include erosion of digital trust, manipulation of vulnerable users, unauthorized data exploitation, and long-term societal harm to decision-making ecosystems. In mental health applications, non-fiduciary AI may exacerbate crises due to misaligned incentives or inadequate safeguards.
Recommended Actions: 1) Establish legal frameworks recognizing 'digital fiduciaries' for AI agents in sensitive domains; 2) Mandate transparency in AI decision logic and data use; 3) Implement audit mechanisms for AI adherence to user-aligned duties; 4) Promote fiduciary-by-design principles in AI development.
Confidence Matrix: Threat Identification – High confidence; Probability Assessment – Medium-High confidence (based on trend analysis); Impact Analysis – High confidence; Recommended Actions – Medium confidence (dependent on policy adoption); Overall assessment grounded in Erickson’s provocation on fiduciary design [Erickson, arXiv:2503.04567].
Published June 2, 2026