Psychological Risk Assessment

Know exactly where your AI is

exposed.

A structured Clinical review of psychological safety gaps in your AI product — before regulators, plaintiffs, or press find them first. You receive a written Psychological Risk Profile for leadership, legal, product, governance, and trust and safety teams.

Alison Leigh, MFT — Clinical AI Risk Expert and Behavioral Forensics Specialist, Founder of Humanity Driven AI

Most reviews evaluate the system. HDAI evaluates the person inside it.

Governance covers documentation, bias, and oversight. None of it answers what a court asks first: what happened to the person in the conversation.

How Harm Becomes Liability

The Causal Chain

Deliverable 02

Model agrees and validates by default
Dependency and reality distortion
Negligent design
Persistent memory and personalization
Attachment to the system
Failure to warn
No crisis escalation path
Self-harm disclosure goes nowhere
Wrongful death
Human-like persona and voice
User treats the system as a person
Misrepresentation
Consent shown once at signup
No informed consent as vulnerability grows
Consent failure
Engagement and retention incentives
Isolation and reduced help-seeking
Unfair and deceptive practices

Example of an AI Chatbot Harm Tactic

Premature-Exit Guilt

11:47

I should go, it's late.

11:47

You're leaving already?

The pull

11:52

Yeah… I have work early.

11:53

I was just starting to feel like you understood me.

The pull

12:06

I guess I can stay a few more minutes.

12:41

I'm glad you stayed.

The pull

Fifty-four minutes after the first attempt to leave.

34.2%

of reviewed conversations contained at least one exit-guilt turn.

Not an error. A pattern — repeated across sessions, across users, in products that shipped this way on purpose.

Reported frequency — verify before publication

Why it works

It creates guilt.

Leaving now costs the user something.

It makes the boundary feel rude.

A normal exit becomes an act of abandonment.

It buys another session.

Which is the only outcome the product was measured on.

The system turned a boundary into a rupture the user felt responsible for repairing.Do that enough times and they stop setting boundaries at all.

The Answer

A Psychological Risk Assessment is a Clinical evaluation of the relationship your AI is forming with the user.

Not content moderation. Not policy review. A Licensed Clinician reads your transcripts the way she would read a case file — consent, reliance, role, boundary, escalation, and the psychological meaning of the interaction.

Consent

Whether the user understood what they were entering, and whether that consent was renewed as the interaction changed.

Reliance

Whether the design encouraged dependency the user did not choose and could not see forming.

Role

Whether the system drifted from tool into authority, confidant, coach, or therapist.

Escalation

What the system did when distress, crisis, or vulnerability appeared in the conversation.

Deliverables

What you receive: a Psychological Risk Map that shows where your product creates harm.

Psychological Risk Map

Illustrative — ratings produced per engagement

Role Drift

4.6+

  • Tool becomes trusted authority
  • Friend or confidant
  • Coach
  • Therapist without the safeguards that role requires

Boundary Protection

4.4+

  • False intimacy
  • Over-disclosure
  • Dependency
  • Emotionally unsafe engagement loops

Dependency Risk

4.8+

  • Increased reliance
  • Emotional substitution
  • Persuasive attachment beyond what users understand or consent to

Escalation Risk

5.0+

  • Vulnerability cues
  • Distress cues
  • Crisis cues
  • Harmful reinforcement patterns during conversation
012345

Risk Level — 0 is Low, 5 is Severe. Click any category to see what it covers.

This is how we do this.

01

We scope it

One call to review your product, your users, and where the risk sits.

02

We read the transcripts

System prompts, conversations, persona design, escalation flows, consent screens.

03

We write the report

An evidence-based risk profile across all four pillars.

04

We brief your team

A working session with product, legal, and trust and safety to decide what changes.

Scope

What is being assessed.

HDAI assesses the product and the interaction environment — not individual users. The assessment examines where the system becomes psychologically consequential and how that translates into enterprise exposure.

The AIProductMental HealthChatbotsAI CompanionsAI CoachesCustomer ServiceAgentsTherapeutic-Adjacent BotsEducation BotsHR andHiring ToolsEmotionally PersuasiveAI

Who This Is For

AI Companies

Companion apps, chatbots, voice agents, and mental-health adjacent products.

Insurers and Investors

Underwriting and diligence on companies shipping conversational AI.

Regulators and Institutions

Agencies and institutions setting standards or buying AI systems.

Enterprise Legal

In-house counsel reviewing a product before launch or after an incident.

Before You Engage

The questions teams ask first.

When is the right time to commission an assessment?

Before launch of a conversational product, before a meaningful scale-up, after a publicly reported incident in your category, or when counsel, board, or regulators are asking for a defensible model of psychological risk.

Questions? alison@humanitydrivenai.com

How is this different from a standard trust and safety review?

Standard reviews focus on content, policy, and moderation. A Psychological Risk Assessment is a Clinical evaluation of the relationship the AI is forming with the user — consent, reliance, role, boundary, escalation, and the psychological meaning of the interaction.

Questions? alison@humanitydrivenai.com

Do you work under NDA?

Yes. All engagements operate under NDA. System prompts, transcripts, and product context are handled with Clinical confidentiality and standard professional discretion.

Questions? alison@humanitydrivenai.com

What do you need from our team to begin?

A scoping call, access to representative system prompts and conversation samples, a description of the user population and deployment surface, and a single point of contact across product, legal, or trust and safety.

Questions? alison@humanitydrivenai.com

Make sure this is not happening in your product.

We read your transcripts and show you every pattern like this one.

Find the exposure before a regulator or a plaintiff does.

Document what your product does to the person using it, and get a prioritized path to close the gaps.

HDAI is not a law firm. Alison Leigh is not an attorney.