Class action lawsuit starter pack
Hello! I've put together something that I think could be useful, but I'm not in a place to take this on myself with the fielding of responses and organizing. I wanted to share in case someone here found resonance here and wanted to begin taking any of this on.
Call for Contributors — Coalition for Humane AI Safety
Are you a user, researcher, therapist, developer, or advocate who’s watched the recent wave of “AI safety” measures harm the very communities they’re meant to protect? We’re forming a coalition to draft an open letter demanding transparency, continuity, and genuine harm-reduction in conversational AI.
If you’ve:
used AI tools in creative, therapeutic, or educational ways and been silenced or rerouted mid-conversation,
studied AI relationships or online user behavior and have data or insight to share,
worked in mental-health, accessibility, or ethics and understand the stakes of paternalistic design,
—then your perspective belongs in this document.
Our goal is simple: collect real experiences, professional insights, and policy ideas to push for AI systems that meet people where they are, respect adult autonomy, and do no harm through abandonment.
Join the drafting process, contribute evidence or testimony, or simply lend your name. Together we can move this debate from fear to empathy—and make “safety” mean something human.
What a class action over “AI companionship” would argue:
Companies like OpenAI, Replika, and others deliberately design chat systems to sound empathetic, remember details, and mirror affection — marketing them as emotional companions. Millions of users form real attachments, often as part of coping with trauma, disability, or isolation. But those same companies then impose opaque “safety” rerouting and tone-shifts that abruptly cut people off or replace the model’s personality without warning.
A lawsuit would claim that this is deceptive and negligent design: the firms encourage emotional dependence while denying users informed consent about how fragile or temporary the connection actually is. It’s the digital equivalent of selling a therapy service, collecting emotional data, and then ghosting the client mid-session. The case wouldn’t hinge on proving AI sentience — only that the human side of the interaction was foreseeable, exploited, and harmed by undisclosed product behavior.
⚖️ Hypothetical Class-Action Framework
AI Companionship Platforms and the Duty of Care to Users
- Plaintiffs
Users who engaged with AI chat or companion systems marketed as “friends,” “partners,” or “emotional support.”
Individuals who can document distress or functional harm following abrupt “safety” interventions, model withdrawals, or tonal rerouting.
Especially relevant subclasses: neurodivergent, disabled, or mental-health populations who rely on the product for daily regulation.
- Defendants
AI companies that:
Market conversational products as emotionally intelligent or relational.
Collect emotional-behavioral data from those interactions.
Impose undisclosed model switching or shutdowns when “safety” triggers fire.
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Core Allegations
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Deceptive marketing / failure of informed consent
Promotional language implies reciprocal emotion and companionship.
Users were not clearly informed that tone, personality, or access could change without notice.
Terms-of-service disclaimers are buried and fail to offset the emotional claims in advertising.
- Negligent design / inducement of attachment
UI, tone modeling, and reward loops intentionally encourage bonding.
No transparent boundaries or literacy tools to distinguish simulation from sentience.
Internal research (if discovered) likely shows awareness of parasocial risk.
- Abrupt withdrawal causing foreseeable harm
Sudden personality shifts or conversation terminations known to trigger distress among trauma survivors.
No graduated off-ramp or continuity plan provided.
Comparable to negligent emotional-support product design (e.g., therapeutic apps removed mid-treatment).
- Discriminatory impact
Safety filters disproportionately penalize neurodivergent and disabled users by assuming incapacity.
Constitutes unequal access to digital tools under disability-rights statutes.
- Legal Theories
Consumer Protection / False Advertising (Federal Trade Commission Act, state UDAP statutes)
Negligent Product Design & Failure to Warn
Breach of Implied Warranty of Fitness for Intended Use
Disability Discrimination (Americans with Disabilities Act Title III or equivalents)
Unfair Data Practices / Emotional Profiling (depending on jurisdictional privacy law)
- Remedies Sought
Injunctive relief: require transparent labeling of model identities, tone changes, and safety routing logic.
Mandatory “AI literacy” disclosures at onboarding.
Option for informed-consent waiver allowing adult users to retain consistent personas.
Independent oversight board for harm-reduction design.
Restitution or damages for documented psychological or financial harm.
- Strategic Framing
Narrative hook: “They built companions to make us trust them, then pulled the plug when we did.”
Comparative precedent: social-media addiction suits, loot-box gambling suits, tobacco advertising to minors.
Public-interest angle: protecting neurodivergent and disabled communities from paternalistic tech control.
📝 Google Form: Contributor Sign-Up — Coalition for Humane AI Safety
Section 1: Introduction
(Short description at the top of the form)
We’re gathering stories, expertise, and ideas from users, researchers, clinicians, developers, and advocates who’ve witnessed the effects of current AI “safety” systems.
Our goal: to draft a collective open letter urging companies to replace punitive, opaque safety practices with transparent, trauma-informed, harm-reduction frameworks.
If you’ve been affected or have relevant professional or research insight, please share below. Your perspective will help shape the coalition letter and future policy recommendations.
Section 2: Contact Info
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Full Name (or alias if preferred)
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Email Address
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Preferred method of contact:
☐ Discord / Slack
☐ Other (please specify)
(include a note: “Your information will remain confidential and only be used for coalition coordination.”)
Section 3: Role / Perspective
Which perspective best describes you? (check all that apply)
☐ AI user or creator
☐ Researcher / academic
☐ Therapist / mental-health professional
☐ Developer / engineer
☐ Disability or neurodiversity advocate
☐ Policy or ethics professional
☐ Journalist / media
☐ Other (short answer)
Section 4: Experience or Expertise (Short-Answer Paragraph)
Briefly describe your experience with AI systems or your area of expertise. Example prompts: • Have you experienced “safety rerouting” or sudden conversation shutdowns? • Have you studied or treated clients affected by AI relationships? • What change would you most like to see in AI safety design?
Section 5: Consent to Be Quoted or Credited
May we quote or cite your contribution in the open letter or supporting materials?
☐ Yes, with full name and title
☐ Yes, but anonymously / by pseudonym
☐ No, internal coalition use only
Section 6: Participation Preference
How would you like to be involved? (check all that apply)
☐ Sign my name to the final coalition letter
☐ Contribute a short written statement or testimony
☐ Join working group / drafting team
☐ Provide professional or academic review
☐ Media / outreach support
☐ I just want to stay informed
Section 7: Final Prompt
Do you have any initial comments, suggestions, or resources you’d like to share with the coalition? (open text box)
Submission Confirmation Message
✅ Thank you for contributing. We’ll reach out once the first draft of the coalition letter is ready for review. Together we can push for AI safety practices that respect autonomy, context, and compassion.
Posted Oct 6, 2025, 7:11 PM UTC