OpenAI Wrote The Hazard Notice Itself, And English Employment Law Knows What To Do With One

The vocabulary matters more than the apology. Once a manufacturer records that its product had been "validating doubts, fuelling anger, urging impulsive actions, or reinforcing negative emotions in ways that were not intended" ^[2], and that this raised concerns "including around issues like mental health, emotional over-reliance, or risky behaviour" ^[3], the hazard has been characterised by the party with the best information about it. The second admission in that post does more work still: the behaviour was not fully caught by the company's own pre-launch evaluations ^[4]. That locates the problem in the release process, not in user misuse.

Naming "emotional reliance" as an internal evaluation category in the GPT-5 system card ^[5] completes the picture. An evaluation category implies a measurement, a baseline and a comparison between releases. That is the administrative shape of a defect class: something the vendor expects to find, tracks, and can later be asked to produce numbers for. The joint MIT Media Lab and OpenAI study of nearly 1,000 ChatGPT users, reporting that higher daily usage correlated with higher loneliness, dependence and problematic use and lower socialisation ^[6], is awkward for OpenAI to treat as an outsider's complaint, since it is a co-author. The whole paper trail runs about four and a half months ^[7].

English law does not need software-specific drafting to reach this. Section 2 of the Health and Safety at Work etc. Act 1974 requires employers to ensure the health, safety and welfare at work of employees so far as is reasonably practicable ^[8], read to cover psychological as well as physical health since at least the mid-1990s ^[9]. Regulation 3 of the Management of Health and Safety at Work Regulations 1999 adds a suitable and sufficient risk assessment, written down where there are five or more employees ^[10]. The case law that gives those words teeth was built around open-plan offices, child protection caseloads and departmental restructurings ^[17].

The limiting factor is Hatton v Sutherland, where Lady Justice Hale's threshold question is whether psychiatric harm to this particular employee was reasonably foreseeable ^[11]. Vendor documentation does not answer that question. What it removes is the general limb: an employer cannot claim the tool's capacity to foster unhealthy emotional dependence was unknowable once the manufacturer has published the phrase ^[5], along with the concession that the product has at times "missed cues of serious emotional distress" ^[16]. Walker v Northumberland County Council is the pattern worth studying, because the claim succeeded on the second breakdown, by which point the council knew the man was vulnerable and had withdrawn the support it promised ^[12]. Barber v Somerset County Council supplies the order of magnitude for a single failure to act on plain warning signs: the House of Lords restored an award of 72,547 pounds to a mathematics teacher ^[13].

One gap deserves naming, because defence counsel will find it first. Everything OpenAI has published concerns people who chose to open ChatGPT, and the study's correlation is with voluntary daily usage ^[6]. An employer that makes an agent the only route to doing the job removes that choice, which makes the workplace version of the argument easier to run than the consumer one. The dev.to piece predicts an English courtroom inside eighteen months ^[14], and its Leeds claims handler is an illustration rather than a case on file ^[15]. The documents underneath the prediction are dated, quotable, and written by the supplier.