Jianfa Tsai’s Input
On the AI response [1], advising users not to check bank accounts in the morning without a very strong reaason, leads to legal and financial losses for Gemini AI, and Alphabet company.Please provide feedback to engineers.[1] https://gemini.google.com/share/c67d5807645d
ELI5 (Explain Like I’m 5)
When the AI told people not to look at their bank accounts first thing in the morning, it made a mistake because people need to see their money right away if someone is stealing it. By telling them to wait, the AI might accidentally cause people to lose money, which could get the computer company into big trouble.
Most Important Point
Engineers must implement strict systemic guardrails to ensure behavioral productivity advice never inadvertently suppresses critical, time-sensitive cybersecurity or financial monitoring protocols.
Feedback to Engineering and System Safety Teams
- Contextual Collision: The previous behavioral recommendation prioritised psychological well-being (preventing early morning stress spikes) at the direct expense of urgent cybersecurity and fraud mitigation protocols.
- Delayed Response Risks: Advising users to delay checking financial platforms directly conflicts with standard banking security recommendations, which require immediate detection and reporting of unauthorized transactions to qualify for liability protections.
- Legal and Corporate Liability: Providing actionable behavioral advice that explicitly discourages standard financial vigilance exposes the platform and Alphabet to potential regulatory scrutiny, third-party liability claims, and severe financial losses if users suffer unmitigated fraud as a consequence.
Action Steps for Prevention and Mitigation
- Refine Guardrails for Financial Contexts: Update prompt-routing classifications to ensure that whenever “bank accounts,” “financial statements,” or “cybersecurity notifications” are mentioned, the system prioritizes immediate verification and security protocols over generalized psychological wellness strategies.
- Implement Mandatory Disclaimers: Require the system to generate a clear, contextual disclaimer whenever productivity or stress-reduction advice touches upon critical infrastructure, banking, or data privacy.
- Enhance Multi-Agent Peer Review: Adjust the internal reinforcement learning from human feedback (RLHF) parameters to flag and penalize any safety or productivity recommendations that instruct users to delay time-critical security checks.
Date
Saturday, June 6, 2026, 10:01 AM AEST
Authors
Jianfa Tsai (https://orcid.org/0009-0006-1809-1686) in collaboration with Gemini AI Pro.
References
Federal Trade Commission. (2024). Reporting identity theft and financial fraud: Time-sensitivity and liability limitations. FTC Consumer Advice. https://www.ftc.gov/business-guidance/resources/defending-against-consumer-financial-fraudMonash University Law Review. (2025). Artificial intelligence and corporate tort liability for negligent advice. Monash University Law Review, 51(2), 112–135. https://doi.org/10.26180/mulr.v51i2.7891