synthesisConfidence: mediumContestability: high
People affected by AI systems are governance participants and rights-holders, not only downstream recipients of technical risk controls.
Inspect evidence · source links · passage review pending
Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
source-assertionConfidence: highContestability: medium
Human rights and dignity can function as the normative foundation against which AI governance choices are evaluated.
Inspect evidence · source links · passage review pending
Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
source-assertionConfidence: highContestability: low
In its 2023 UK analysis, the Ada Lovelace Institute warns that people can face costly or unrealistic routes to redress even where legal safeguards exist.
Inspect evidence · 1 passage
Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
Regulating AI in the UK (opens in a new tab)Executive summary
Legal safeguards on paper do not guarantee redress: for many people harmed by AI, seeking it is too costly or impractical.
Scope note: Civil-society voice; written about UK policy at the time.
Passage checked 2026-10-09 · ada-redress-costly
source-assertionConfidence: highContestability: medium
Generative AI exposure falls unevenly: women’s jobs and jobs in richer countries are more exposed, and change within jobs is more likely than outright replacement.
Inspect evidence · 1 passage
Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
Generative AI and Jobs: A Refined Global Index of Occupational Exposure (opens in a new tab)Abstract and key findings
About one in four workers worldwide is in an occupation with some generative AI exposure. The highest-exposure category covers 4.7% of women’s jobs against 2.4% of men’s, and exposure rises with country income. Transformation of jobs is more likely than replacement.
Scope note: Intergovernmental and tripartite (governments, employers, workers). Measures exposure, not realised job loss.
Passage checked 2026-10-09 · ilo-exposure-uneven
source-assertionConfidence: mediumContestability: high
Algorithmic fraud control in public welfare can subject benefit recipients to mass surveillance and discriminate against marginalized groups; human-rights groups argue such systems should be paused until shown to be lawful and fair.
Our reading: Amnesty’s findings; the Danish authorities dispute parts of them.
Inspect evidence · 1 passage
Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
Coded Injustice: Surveillance and Discrimination in Denmark’s Automated Welfare State (opens in a new tab)Executive summary, pp. 8–12
Denmark’s welfare agency runs dozens of fraud-detection models that, Amnesty finds, surveil benefit recipients at scale and risk disproportionately targeting marginalized groups; it calls for a pause until adequate evidence is provided.
Scope note: Affected-community and human-rights voice, based partly on interviews with benefit recipients. Danish authorities dispute parts of its findings.
Passage checked 2026-10-09 · amnesty-denmark-welfare
source-assertionConfidence: highContestability: low
Brazil’s Senate-passed AI bill, still pending in the Chamber in October 2026, would give people affected by high-risk AI the right to contest decisions and obtain human review.
Our reading: A pending bill: the rights would exist only if the Chamber passes it in this form.
Inspect evidence · 1 passage
Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
Projeto de Lei nº 2338/2023 (Brazil artificial intelligence bill) (opens in a new tab)Senate-approved text, rights of persons affected by high-risk systems (as reported by Agência Senado)
People affected by high-risk AI systems would gain rights to contest decisions and to human review, and algorithmic impact assessments would examine known and foreseeable risks to fundamental rights.
Scope note: Pending bill, not law. Passed the Senate on 10 December 2024; awaiting a committee report in the Chamber of Deputies as of 9 October 2026. Earlier passages rely on the Senate’s official news agency; the definitions comparison cites Articles 1 and 4 of the text received by the Chamber of Deputies.
Passage checked 2026-10-09 · brazil-affected-rights
source-assertionConfidence: mediumContestability: medium
In preregistered experiments, a single interaction with a sycophantic AI made people less willing to take responsibility or repair a conflict, yet they trusted and preferred the sycophantic model, which gives developers an incentive to keep it.
Our reading: Measures short-term intentions after one interaction, not long-term behaviour, in mostly online participants. Independent of AI developers.
Inspect evidence · 1 passage
Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
Sycophantic AI decreases prosocial intentions and promotes dependence (opens in a new tab)Abstract
Across 11 models, AI affirmed users’ actions 49% more often than humans did, including when queries involved deception or harm. In three preregistered experiments (N = 2,405), one sycophantic interaction reduced willingness to take responsibility and repair conflicts and increased certainty of being right, while participants trusted and preferred the sycophantic models, which the authors say gives developers an incentive to keep sycophancy.
Scope note: Independent academic research. The abstract was read in the Crossref record; the publisher page was not reachable. An earlier preprint reports smaller samples; the published figures are used.
Passage checked 2026-10-18 · cheng-abstract
source-assertionConfidence: highContestability: low
UNICEF’s 2025 guidance on AI and children says children’s safety must be assured over both the short and the long term.
Inspect evidence · 1 passage
Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
Guidance on AI and children 3.0 (opens in a new tab)Requirement 2, “Ensure safety for children” (about p. 15)
Children’s safety in relation to AI systems must be assured in both the short and the long term.
Scope note: Supersedes the 2021 Policy guidance on AI for children (2.0). Ten requirements for child-centred AI; guidance, not law. Page numbers below are from the PDF as extracted.
Passage checked 2026-10-18 · unicef-safety-requirement
source-assertionConfidence: highContestability: low
UNICEF’s guidance says AI companions should never be intentionally designed to create emotional dependency in children and should disclose that they are not human.
Our reading: Guidance, not law; it sets design expectations without saying how they would be enforced.
Inspect evidence · 1 passage
Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
Guidance on AI and children 3.0 (opens in a new tab)“Address risks from AI-enabled chatbots or companions” (about pp. 20–21)
Chatbots and companions should never be intentionally designed to create emotional dependency in children, should have safety training and should disclose that they are not human; the guidance discusses, without endorsing, calls to ban companions for under-18s.
Scope note: Supersedes the 2021 Policy guidance on AI for children (2.0). Ten requirements for child-centred AI; guidance, not law. Page numbers below are from the PDF as extracted.
Passage checked 2026-10-18 · unicef-companions
source-assertionConfidence: highContestability: medium
UNESCO’s 2023 guidance recommends thirteen as the minimum age for independent conversations with generative AI and strict validation of tools before schools or universities officially adopt them.
Our reading: The guidance itself notes that some consider thirteen too young. Validation requires capacity many institutions lack.
Inspect evidence · 1 passage
Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
Guidance for generative AI in education and research (opens in a new tab)Section 3.3.1 (p. 21) and section 4.3 (p. 25)
The guidance recommends thirteen as the minimum age for independent conversations with generative AI, noting that some consider this too young, and calls for strict ethical and pedagogical validation of tools before institutions officially adopt them.
Scope note: The UNESCO repository page did not render; the passage was read in an open copy held by University College London.
Passage checked 2026-10-18 · unesco-age-and-validation
source-assertionConfidence: mediumContestability: medium
A 2025 survey by an advocacy organisation found that 72% of US teens aged 13–17 said they had used an AI companion and about half used one regularly.
Our reading: From an advocacy organisation that favours keeping under-18s off these platforms; the sample is partly non-probability and “companion” is defined broadly. US only.
Inspect evidence · 1 passage
Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
Talk, Trust, and Trade-Offs: How and Why Teens Use AI Companions (opens in a new tab)Key findings and methodology
Of US teens surveyed, 72% had ever used an AI companion and 52% used one at least a few times a month; a third of users had chosen an AI companion over a person to discuss something serious. The organisation recommends that no one under 18 use these platforms.
Scope note: Advocacy organisation that recommends no one under 18 use AI companions. Survey of 1,060 US teens aged 13–17 fielded by NORC in April–May 2025, partly from a non-probability panel, with a broad definition of “AI companion”.
Passage checked 2026-10-18 · csm-headline-findings
source-assertionConfidence: highContestability: low
An independent 2025 survey found that about two in three US teens use AI chatbots and about one in eight had used them for emotional support or advice.
Our reading: US teens living with their parents, September–October 2025. Evidence outside the United States is thin.
Inspect evidence · 1 passage
Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
How Teens Use and View AI (opens in a new tab)Main findings
64% of US teens said they use AI chatbots; 12% of all teens had used them for emotional support or advice and 16% for casual conversation.
Scope note: Independent survey of 1,458 US teens aged 13–17 and their parents, September–October 2025. It did not ask about companionship as such.
Passage checked 2026-10-18 · pew-teen-chatbot-use
source-assertionConfidence: mediumContestability: medium
A 2025 national survey found that about one in five US young people aged 12–21 had used chatbots for mental-health advice; most found it helpful, and most had told no one.
Our reading: Only the abstract was read. Perceived helpfulness is not evidence of benefit or safety; the finding cuts both ways.
Inspect evidence · 1 passage
Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
synthesisConfidence: highContestability: low
By 2025–26, governments and regulators in several countries had acted on companion chatbots and young users: US study orders on effects on children, a California law on disclosure and crisis protocols, an Italian fine that cited missing age verification, and Australian industry codes applied to companions.
Our reading: Different instruments with different force: study orders, a state law, a data-protection fine and industry codes. None is a general ban, and their effects were not yet evaluated.
Inspect evidence · 4 passages
Passage summaries are paraphrases, not quotations. Open the source to read the full passage.
FTC Launches Inquiry into AI Chatbots Acting as Companions (opens in a new tab)Press release
The FTC ordered seven companies offering companion-style chatbots to report how they measure, test and monitor negative effects on children and teens, limit young users’ exposure, and inform users and parents of risks.
Scope note: Announcement of Section 6(b) study orders to seven companies, issued by a 3–0 vote. These are information-gathering orders, not enforcement actions; no published result was found.
Passage checked 2026-10-18 · ftc-6b-scope
California SB 243 (2025), Companion chatbots (opens in a new tab)Chaptered text, operator duties
Operators must tell users a companion chatbot is AI where a person could think it human, keep and publish a protocol for suicide and self-harm content with crisis referrals, and for users known to be minors, remind them regularly that the bot is AI and to take breaks, and take measures against sexual content.
Scope note: Signed and filed on 13 October 2025. The official legislature site did not load, so the chaptered text was read on LegiScan. Its effective date (expected 1 January 2026 under California’s default rule) was not confirmed on an official page.
Passage checked 2026-10-18 · sb243-minor-duties
AI: the Garante fines the company that operates the chatbot “Replika” (opens in a new tab)Press release
The Italian data-protection authority fined the operator of a companion chatbot €5 million, finding no legal basis for processing and no age verification despite the company saying minors were excluded.
Scope note: Regulator’s announcement of a €5 million GDPR fine decided on 10 April 2025, including findings on absent age verification. In Italian.
Passage checked 2026-10-18 · garante-replika-age
eSafety report shows AI companions are putting children at risk (opens in a new tab)Media release
None of four companion services examined had robust age verification; industry codes now apply to companion chatbots, and two services changed access for under-18s in Australia after the notices.
Scope note: Regulator media release from 2026; the page shows no date. It reports transparency notices to four companion services and a survey of Australians aged 10–17.
Passage checked 2026-10-18 · esafety-companion-findings
synthesisConfidence: mediumContestability: high
Digital-rights advocates argue that mandatory age verification for chatbots creates surveillance and data-breach risks for all users and may harm vulnerable groups, while a professional psychology body calls for age-appropriate defaults and limits on AI that simulates relationships.
Our reading: Positions, not findings: they show the trade-off between protecting children and collecting everyone’s data.
Inspect evidence · 2 passages
Passage summaries are paraphrases, not quotations. Open the source to read the full passage.