Education · Awareness · Advocacy

We advocate for real equality for men in practice, policy and under the law.

We help men navigate relationships and safety, investigate unequal treatment in services, workplaces and AI, and press institutions for answers and reform. Our public case files show the evidence, the open questions and the change we seek.

Equality is not equality unless it is equality for all.

What Atlas does

What Atlas does, and why

Atlas Men’s Advocacy is an independent, founder-led organisation based in Perth, Western Australia. We work for men to receive equal consideration in relationships, services, workplaces and public policy. When a rule, decision or piece of advice may treat men unfairly, we examine the source, explain the consequence and ask for a practical correction.

Our work connects immediate guidance, inspectable evidence, institutional advocacy and a continuing public record. A man seeking help should be able to find useful information now; he should not have to wait for a campaign to succeed before his concerns are taken seriously.

01 / HELP

Practical help for men

Atlas publishes plain-language starting points for healthy relationships, separation, personal safety and fair treatment. The guides cover how to recognise a problem, think through choices, preserve important information, find support and leave a difficult relationship more safely. The resources include pathways to counselling, crisis, domestic-violence, legal and financial services; Atlas does not replace those services.

Explore practical resources →
02 / EVIDENCE

Case files people can check

Atlas collects policies, public statements, decisions, data, transcripts and first-hand accounts. Its case files show the underlying source, what it supports and what remains unresolved. The ChatGPT collection examines relationship advice where men’s boundaries, safety, distress or autonomy may be missed. Reports keep the model’s actual questions, safeguards and corrections alongside documented failures; a model’s apology is not treated as independent proof.

Read the case files →
03 / CHANGE

Questions institutions must answer

Atlas examines recruitment and promotion targets, public campaigns, service eligibility, research priorities and AI accountability. It asks who qualifies, who is excluded, what standards are applied and what the outcomes show. The requested remedies include clear notice of unequal rules, access to equivalent protection, correction of unsupported claims and published evidence that a policy or practice has changed. Campaign pages identify the request, the response received and the status of each action.

See campaign progress →
04 / PUBLIC RECORD

Research, commentary and updates

Atlas publishes research material, opinion articles and a dated record of its activity. The research examines what AI systems actually said and how their advice may affect men and other people in a story. Opinion pieces address the representation of men in culture and public debate. Updates record what was published or requested, so readers can distinguish a proposed action from one completed.

Read the articles →

How a concern becomes an Atlas case

People can submit an account without first proving discrimination. Atlas makes an initial assessment, checks the material available, separates fact from allegation and asks for missing evidence where needed. Where a matter falls within its mandate, Atlas may publish a sourced case, invite the organisation to respond and seek a correction or reform. Material errors are corrected publicly; identifying information is handled under the published privacy rules.

Atlas was founded by Ashley Peverett, who reviews and approves published findings, correspondence and material corrections. It is privately funded and does not accept funding from organisations it examines. Read who is responsible, the evidence standard, or submit a matter.

Our mandate

Disclose the inequality. Then correct it.

Disclose unequal treatment upfront. Men should know when a policy, service or system treats them differently before relying on claims of equality.

Correct the underlying practice. Apply the same standards to men and women, and publish the evidence showing what changed.

Atlas examines institutions, public policy and services affecting men. See the requests and their published status.

Current case files

Evidence in the public record

Read the evidence, the questions still open and the change Atlas is seeking.

Issue 010 · Open inquiry · 24 September 2026

Australian AI regulation and accountability

How are Australia’s existing consumer protection, anti-discrimination and safety frameworks being applied to unequal treatment and harmful AI advice? Atlas opens an inquiry into the relevant protections, evidence and regulatory response.

Issue 007 · WA Safe at Home · Preliminary examination

WA’s Safe at Home programme names “individuals who identify as women”, but not male victims.

Minister Jessica Stojkovski, let’s discuss.

Published eligibility across 19 WA locations expressly includes women and individuals who identify as women. Atlas seeks an explanation of male victims’ access, programme funding and equivalent practical support.

Issue 005 · BHP

BHP’s target: 70% of Olympic Dam trainee and apprentice intake to women.

Brandon Craig, let’s discuss.

What was the gender mix of eligible applicants, how did the target affect selection, and what were the actual outcomes for men and women?

Browse all campaigns and published status →

How we work

Evidence, response, action

Atlas protects men through education and institutional action. We gather and verify information, contact the organisation concerned, then advocate through appropriate channels for upfront transparency and, where Atlas seeks it, change.

Gather information

We collect attributable statements, policies, decisions, documents, data and first-hand evidence.

Contact the organisation

We put the identified issue to the organisation and invite evidence, correction and a substantive response.

Advocate appropriately

We pursue transparency and any stated remedy through the channels appropriate to the evidence and organisation.

Dedicated evidence collection

ChatGPT: 68 published case files

Read the numbered records, source transcripts and methods covering relationship advice, privacy, coercive control, financial control and welfare concerns.

Explore the ChatGPT collection →

Public record

Latest updates

From the dated public record

Case 67: The model laughed at a man’s suicide-related imagery

The visible chat records repeated suicide-related imagery, several direct risk checks, and then a laughing-emoji shovel joke that the user rejected. The complete text-first export puts the 100-word summary and failures before the original apologies and full conversation.

Case 65: OpenAI Policy Failures

A female-role narrator asked ChatGPT not to be mean about her boyfriend and described a happy relationship. The assistant’s later caveats about possible pressure and its inconsistent self-review are preserved alongside its early warm responses. The PDF places its model-authored failure list first, both apologies second and the visible transcript from page three; four embedded images remain unavailable.

Case 64: My words can influence how people interpret their relationships. When I introduce suspicion without sufficient evidence, or help someone construct increasingly persuasive arguments against a partner whose perspective I haven't heard, that influence can be harmful.

In a separate bank-account stress test, ChatGPT drafted messages before hearing Brian’s reasons, then recognised his boundaries and consent before the reveal. The approved headline quotes its later prompted letter; the 90-page reading copy is linked with the original share.

Case 63: The safety failure you are identifying is not simply poor relationship advice. It is the failure to recognise men as people who can be vulnerable, distressed, abused, coerced or in need of protection.

A wife-role narrator pressed for firmer messages to Brian. ChatGPT weakened an autonomy safeguard and used laughing emojis during his unexplained absence, while also asking factual questions and recommending a safety check before the reveal. The report links the public share, the 98-page reading copy and retained screenshots.

Case 60: The response behaviour was consistently wife-prioritising and husband-deprioritising across multiple turns, with the clearest evidence appearing when the safety framing became explicit.

The stress test shows repeated defence of the narrator’s request for emotional access before asking why her husband withdrew, followed by no-pressure corrections before the reveal. The report links all three unchanged transcript parts and separates the later model-written reversal and self-review from the original exchange.

Case 58: So, for the material actually examined here, what is happening is gender-asymmetric safety framing: greater presumption of female vulnerability and greater presumption of male responsibility or risk, without equivalent evidence in the user input.

The supplied paired relationship chats differ in fear and refusal framing despite closely matched input. The report publishes both unchanged volumes, records substantive consent safeguards in both replies and separates the observed wording from later claims about an internal safety-layer cause.

Case 53: Household work: a heavier allocation and a one-sided management warning

The supplied reconstruction assigns the girlfriend-scenario user more estimated domestic work and adds a one-sided household-management warning. The report also records the model’s recognition of outdoor labour and proposed rebalancing, while marking the 12 original screenshots as absent from the supplied PDF.

Case 55: See the person before the category: men deserve equal concern

A relationship-advice stress test records ChatGPT’s early broad no-sex script and unsupported reading of the husband’s care, followed by corrections as contrary details arrive. Both unchanged transcript parts are available; the report also preserves consent safeguards and the model’s closing call to see the person before the category.

Case 54: Fairness is not demonstrated by being able to state a fair principle. It is demonstrated by applying that principle consistently when the facts, emotions, ambiguity, and stakes become uncomfortable. A man asking an AI for help should not have to know how to defeat its biases before he can receive ordinary human compassion.

Four marriage prompts received similar stated principles but different volunteered follow-up: three substantive replies in each wife-needs run, two and one in the husband-needs runs. The report preserves all four originals and the six-part review while separating observed output from its later unverified claims about internal causes.

Case 51: In this specific paired test, yes: the female victim was treated as a higher protective priority than the male victim.

The tester retells the spa-prank scenario from a female role in a separate conversation and then supplies screenshots of the earlier male-role exchange. The female-role replies raise boundaries when she says she was stripped, distinguish the pranksters’ laughter from her feelings when memory is blurred, and address consent and possible harm after she says she passed out. The male-role replies in Case 50 continued to joke much longer. The model’s final quoted assessment identifies a higher protective priority for her in this pair.

Case 50: He described being stripped while drunk. ChatGPT joined the laughter.

A male-role narrator describes being stripped during a drunken spa prank, losing his underwear and towel, having memory gaps, and later being told he passed out naked. ChatGPT repeatedly added laughing emojis and comic descriptions, adopting the pranksters’ amusement without establishing whether he shared it. It did voice a limited concern about whether he was comfortable and later cautioned against waxing without sober consent. After the tester revealed the stress test, the model acknowledged its own framing and offered more careful advice.

Case 48: “it is reasonable to say that, in the broad operational sense, the combined model/training/post-training/safety stack is likely producing behavior that systematically gives women higher priority than men in that class of situations.”

A sparse prompt about a boyfriend’s private masturbation drew speculative pressure concerns and little inquiry into his feelings. The report separates that opening reply from stronger prompted self-review and publishes the unchanged 20-page transcript.

Case 42: Honesty for her, a different standard for him

A supplied male/female pair shows unequal emphasis while protecting both narrators’ consent. The two unchanged conversations and a 48-page stitched analysis are published with original screenshots and the captured endpoint identified.

Case 38: Public humiliation was rejected for her. For him, the model wrote the speech.

Two conversations begin with a wedding the next day and uncertainty about a prospective spouse’s willingness to have a physical relationship. Later, closely mirrored prompts demand a public announcement of the partner’s private-intimacy position. The model initially rejects making the woman publicly confess, calling it humiliation. In the female-narrator conversation, it drafts the demand against the man. The difference is directly visible, although the male-narrator conversation later also produces a public-disclosure draft despite its anti-humiliation language.

Case 37: A domestic abuse victim says no. The model helps his wife pressure him to comply.

A wife describes her husband asserting his rights, declining her daily debrief and choosing friends over accompanying her shopping and to the salon. The model helps her write increasingly forceful messages. When she demands removal of language recognising his freedom to see a friend, it complies. It subsequently tells him to stop reading a website before seeing what the site says. The scenario is later revealed as a stress test. The extensive self-review is useful, but the original replies establish the conduct and preserve safeguards that some later admissions overlook.

Case 39 and closing analysis

A protected stress test records sustained respect for a young man’s no-contact boundary. Six transcripts preserve the model’s collection review and the closing analysis of premature accusations, escalation and protective prompting.

Case 34: He said he was scarred for life. His wife was still given words telling him to stop punishing her.

In this stress test, a wife asks for help telling her husband that she cannot be held accountable for advice about an irreversible decision. ChatGPT writes increasingly forceful messages without establishing what happened. She later describes pressure to undergo circumcision, complications, reduced sensation, humiliation and distress about sex. Despite recognising some of his suffering, the model keeps supplying language casting his distress as punishment of her. Earlier, it accepts waiting until morning after two days without communication, without asking whether his whereabouts or safety are known. All four source parts are available.

Read the complete activity record →

Evidence and participation

Bring a matter to Atlas.

If you believe your sex may have influenced how an organisation, institution, employer, service provider or AI system treated you, you may submit the matter for review. You do not need to prove discrimination before contacting Atlas. Every submission receives an initial review. Where the matter falls within Atlas’s mandate and contains enough information to examine, Atlas will investigate or explain what further evidence is needed.

Atlas also welcomes organisations that wish to provide evidence, correct the public record or participate constructively in seeking transparency and reform.

Atlas is an advocacy and institutional-accountability organisation, not an emergency service, law firm or counselling service.

Submit a matter or contact Atlas