{"source":"https://society101.targeting.ai/","method":"https://society101.targeting.ai/method","cases":[{"id":39,"level":"institution","title":"Stanford University alters student promotional photo using AI to swap race and appearances","category":"education","kind":"side_effect","url":"https://society101.targeting.ai/cases/39-stanford-university-alters-student-promotional-photo-using-a","country":"US","summary":"Stanford University used generative AI to modify a promotional dining hall photo displayed on campus banners, replacing a Hispanic student with an AI-generated Black female student and altering the appearances of other students. Following campus backlash over fabricated diversity and non-consensual portrayal, the university removed the banners and acknowledged the edit violated its policy prohibiting AI alterations of university members.","adaptation":"verify","category_name":"Education","reported_at":"2026-09-24","evidence":["https://abcnews.com/US/students-outraged-after-stanford-university-ai-alter-race/story?id=136718665"],"last_updated":"2026-09-26T02:58:26.654598Z","institution":"Stanford University","mechanism":"friction-removed","who_pays":"Students whose likenesses were altered or erased without consent, and the student body whose authentic diversity was synthetically fabricated.","first_order_effect":"University staff used generative AI tools to alter a dining hall photo of three students on marketing banners, replacing a Hispanic student with an AI-generated Black female student and altering other students' appearances, sparking campus outrage and ethics concerns.","mechanism_name":null,"pays_group":"students-learners","externality_scale":2,"externality_speed":"fast","first_seen":"2026-09-26T02:51:37.647976Z"},{"id":28,"level":"institution","title":"AI Is Producing More Software. Why Isn’t It Being Used?","category":"commerce","kind":"side_effect","url":"https://society101.targeting.ai/cases/28-ai-is-producing-more-software-why-isn-t-it-being-used","country":null,"summary":"AI coding assistants dramatically increased code generation activity, but failed to translate into a proportional rise in used software. Instead, the bottleneck shifted to human code review and integration, while app stores were flooded with three times as many monthly app releases without any increase in user adoption.","adaptation":"detect","category_name":"Commerce and service","reported_at":"2026-09-24","evidence":["https://knowridge.com/2026/09/ai-is-producing-more-software-why-isnt-it-being-used/"],"last_updated":"2026-09-25T08:33:22.076749Z","institution":"Software marketplaces and code repositories (GitHub, Apple App Store, Google Play Store)","mechanism":"friction-removed","who_pays":"Human software reviewers overwhelmed by machine code, and developers/users facing discovery collapse in flooded app stores","first_order_effect":"Monthly new releases on the Apple App Store surged from roughly 30,000 to 100,000 while total usage remained flat or declined, and a 180% increase in coding activity yielded only a 30% increase in software releases due to review and integration bottlenecks.","mechanism_name":null,"pays_group":"volunteers-reviewers","externality_scale":4,"externality_speed":"fast","first_seen":"2026-09-25T08:14:08.836911Z"},{"id":21,"level":"institution","title":"AI manuscript surge floods academic journals and strains peer review","category":"science","kind":"side_effect","url":"https://society101.targeting.ai/cases/21-ai-manuscript-surge-floods-academic-journals-and-strains-pee","country":"US","summary":"Academic journals and submission platforms are experiencing large surges in AI-generated papers and referee reports. Organization Science found that submissions rose 42% since ChatGPT's release while over 30% of referee reports showed detectable AI involvement, forcing the journal to nearly double its senior editorial bench to manage the influx.","adaptation":"detect","category_name":"Science and publishing","reported_at":"2026-09-24","evidence":["https://www.latintimes.com/ai-surge-flooding-academic-journals-what-it-means-peer-review-who-pays-price-599543"],"last_updated":"2026-09-25T08:33:22.076749Z","institution":"Academic journals and peer-review systems","mechanism":"friction-removed","who_pays":"Volunteer academic editors and peer reviewers who must absorb and screen the inflated volume of low-effort manuscripts and referee reports","first_order_effect":"Submissions rose 42% at Organization Science and 33% across ScholarOne in Q1 2026, desk rejections surged 72%, over 30% of referee reports showed AI involvement, and Organization Science had to expand its deputy-editor bench from six to eleven and roughly double senior editors to about 60.","mechanism_name":null,"pays_group":"volunteers-reviewers","externality_scale":4,"externality_speed":"fast","first_seen":"2026-09-25T08:14:08.836911Z"},{"id":25,"level":"institution","title":"Bug bounty programs eliminate or restrict payouts after low-quality AI reports crush triage","category":"open-source","kind":"side_effect","url":"https://society101.targeting.ai/cases/25-bug-bounty-programs-eliminate-or-restrict-payouts-after-low","country":null,"summary":"Public vulnerability disclosure and bug bounty programs are suspending cash payouts, switching to unpaid disclosure, or moving to invite-only tiers after being overwhelmed by a flood of low-quality AI-generated reports and duplicates.","adaptation":"reform","category_name":"Open source and security","reported_at":"2026-09-23","evidence":["https://x.com/LilithDatura/status/2102865373179892131"],"last_updated":"2026-09-25T08:33:22.076749Z","institution":"Bug bounty programs (Curl, HackerOne, GitHub, TYPO3, Intel)","mechanism":"friction-removed","who_pays":"Independent security researchers losing bounty income, maintainers spending triage time on automated noise, and software ecosystems exposed to vulnerabilities that go undiscovered by white-hat researchers","first_order_effect":"Low-quality AI reports overwhelmed triage capacity, driving Curl's confirmed vulnerability rate below 5% and exhausting TYPO3's bounty budget on duplicates, leading multiple major programs to suspend or gut cash rewards.","mechanism_name":null,"pays_group":"platform-workers","externality_scale":3,"externality_speed":"fast","first_seen":"2026-09-25T08:14:08.836911Z"},{"id":32,"level":"institution","title":"Patrons flood libraries with requests for AI-hallucinated books from reading lists","category":"libraries-archives","kind":"side_effect","url":"https://society101.targeting.ai/cases/32-patrons-flood-libraries-with-requests-for-ai-hallucinated-bo","country":"US","summary":"Library patrons are requesting non-existent books hallucinated by AI tools and reprinted in newspaper reading lists. Reference librarians spend time chasing phantom titles across local catalogues and WorldCat, while patrons increasingly trust AI model outputs over library staff.","adaptation":"verify","category_name":"Libraries and archives","reported_at":"2026-09-21","evidence":["https://x.com/SueEllenBelI/status/2102061714162298882"],"last_updated":"2026-09-25T08:33:22.076749Z","institution":"Public and academic libraries","mechanism":"signal-collapse","who_pays":"Reference librarians whose time is wasted running multi-step verification checks on phantom books, and library communities suffering setbacks in information literacy.","first_order_effect":"Patrons submit reference requests for non-existent books attributed to real authors, leading librarians on time-consuming searches and causing friction when librarians inform patrons the requested titles do not exist.","mechanism_name":null,"pays_group":"clerks-public-staff","externality_scale":3,"externality_speed":"fast","first_seen":"2026-09-25T08:14:08.836911Z"},{"id":31,"level":"institution","title":"AI music generation floods streaming platforms with tens of thousands of daily tracks","category":"media","kind":"side_effect","url":"https://society101.targeting.ai/cases/31-ai-music-generation-floods-streaming-platforms-with-tens-of","country":null,"summary":"AI music generation tools have eliminated the friction of producing audio, leading to 75,000 synthetic tracks uploaded daily to Deezer (44% of new daily uploads) and prompting Spotify to purge over 75 million spam and AI-flooded tracks in a single month.","adaptation":"detect","category_name":"Media and culture","reported_at":"2026-09-21","evidence":["https://x.com/sensationahenry/status/2102065320949326151"],"last_updated":"2026-09-25T08:33:22.076749Z","institution":"Music streaming platforms (Deezer, Spotify)","mechanism":"friction-removed","who_pays":"Legitimate human musicians competing against massive synthetic catalogs for algorithmic recommendations and stream share.","first_order_effect":"Deezer receives 75,000 AI-generated uploads per day (44% of all new daily uploads), and Spotify removed over 75 million spam and AI-flooded tracks in one month.","mechanism_name":null,"pays_group":"creators-small-publishers","externality_scale":3,"externality_speed":"fast","first_seen":"2026-09-25T08:14:08.836911Z"},{"id":30,"level":"institution","title":"Indeed CEO says the job market is stuck in a ‘vicious cycle’ if 1,000 qualified candidates can’t get hired: ‘Something’s wrong’","category":"hiring","kind":"side_effect","url":"https://society101.targeting.ai/cases/30-indeed-ceo-says-the-job-market-is-stuck-in-a-vicious-cycle-i","country":"US","summary":"Job seekers using AI to generate and tailor resumes and cover letters have flooded hiring pipelines, while employers deploy AI tools to triage applications. According to Greenhouse, applications per job rose 111% between 2022 and 2025 even as recruiting headcount dropped 56%, creating an 'AI doom loop' where volume and polish no longer indicate genuine qualification or intent.","adaptation":"detect","category_name":"Hiring and work","reported_at":"2026-09-21","evidence":["https://finance.yahoo.com/small-business/articles/indeed-ceo-says-job-market-150709023.html?fr=sycsrp_catchall"],"last_updated":"2026-09-25T08:33:22.076749Z","institution":"Corporate recruiting and job platforms (Indeed, Greenhouse)","mechanism":"signal-collapse","who_pays":"Legitimate job applicants who spend time applying only to be ignored, and employers unable to distinguish real, qualified candidates from synthetic volume.","first_order_effect":"Applications per job spiked by 111% between 2022 and 2025 while recruiter headcount dropped by 56%, leaving recruiters inundated with AI-generated and fake resumes and leaving qualified candidates routinely ghosted in an application 'black hole'.","mechanism_name":null,"pays_group":"job-candidates","externality_scale":5,"externality_speed":"fast","first_seen":"2026-09-25T08:14:08.836911Z"},{"id":8,"level":"institution","title":"AI conference ICLR is drowning in abstracts, with roughly 50,000 submissions before the deadline","category":"science","kind":"side_effect","url":"https://society101.targeting.ai/cases/8-ai-conference-iclr-is-drowning-in-abstracts-with-roughly-50","country":null,"summary":"ICLR experienced an influx of roughly 50,000 abstract submissions, representing a 156% year-over-year increase from 19,500, driven in part by AI-assisted paper generation and corporate publication incentives, straining the peer-review system and degrading quality signals.","adaptation":"none","category_name":"Science and publishing","reported_at":"2026-09-19","evidence":["https://the-decoder.com/ai-conference-iclr-is-drowning-in-abstracts-with-roughly-50000-submissions-before-the-deadline/","https://keynews.ai/news/ai-conference-iclr-is-drowning-in-abstracts-with-roughly-50-48439","https://developmentstoday.com/ai-robotics/iclr-2027-50000-abstracts-ai-paper-flood"],"last_updated":"2026-09-25T08:14:08.836911Z","institution":"International Conference on Learning Representations (ICLR)","mechanism":"friction-removed","who_pays":"Peer reviewers and academic researchers facing diluted signal and degraded quality standards across the research ecosystem.","first_order_effect":"Submission volume jumped by 156% in a single year to approximately 50,000 abstracts, resulting in degraded review quality and submission standards.","mechanism_name":null,"pays_group":"volunteers-reviewers","externality_scale":4,"externality_speed":"fast","first_seen":"2026-09-25T05:54:53.240773Z"},{"id":14,"level":"institution","title":"Shopify CEO says employees' 'slop grenades' are making more work for everyone else","category":"workplace","kind":"side_effect","url":"https://society101.targeting.ai/cases/14-shopify-ceo-says-employees-slop-grenades-are-making-more-wor","country":"CA","summary":"After mandating AI usage as a baseline expectation across the company, Shopify's CEO reported that employees began generating unreviewed, verbose emails and bloated code with AI and passing them off to coworkers. The practice—dubbed 'slop grenades' or 'workslop'—shifts the burden of comprehension and editing from the author onto colleagues and reviewers.","adaptation":"none","category_name":"Workplace","reported_at":"2026-09-17","evidence":["https://fortune.com/2026/09/17/shopify-tobias-lutke-ai-slop-grenades/"],"last_updated":"2026-09-25T08:14:08.836911Z","institution":"Shopify","mechanism":"friction-removed","who_pays":"Coworkers and reviewers who lose hours parsing, verifying, and fixing unvetted AI-generated drafts and code.","first_order_effect":"Employees send AI-generated missives and code without reading them; recipients spend hours revising the output, with a study finding 38% of desk workers receive 'workslop' costing an average of 3.4 hours per month to clean up.","mechanism_name":null,"pays_group":"other","externality_scale":3,"externality_speed":"fast","first_seen":"2026-09-25T05:54:53.240773Z"},{"id":1,"level":"institution","title":"Emergency applications at the social courts more than doubled in a year","category":"courts","kind":"side_effect","url":"https://society101.targeting.ai/cases/1-emergency-applications-at-the-social-courts-more-than-double","country":"DE","summary":"Lower Saxony's eight social courts received 3,083 applications for emergency relief in the first half of 2026 against 1,495 a year earlier; lawsuits rose from 11,685 to 14,120. The court's vice-president attributes most of the rise to AI-written filings.","adaptation":"none","category_name":"Courts and tribunals","reported_at":"2026-09-16","evidence":["https://landessozialgericht.niedersachsen.de/startseite/aktuelles/pressemitteilungen/ki-verursacht-deutlich-hohere-verfahrenseingange-an-den-niedersachsischen-sozialgerichten-und-am-sozialgericht-bremen-253867.html"],"last_updated":"2026-09-25T05:27:38.757974Z","institution":"Lower Saxony social courts","mechanism":"friction-removed","who_pays":"every other litigant, whose case waits","first_order_effect":"Emergency applications +106%, lawsuits +21%; briefs cite judgments that do not exist; every other case waits longer.","mechanism_name":null,"pays_group":"patients-clients","externality_scale":4,"externality_speed":"fast","first_seen":"2026-09-25T05:23:37.939148Z"},{"id":10,"level":"institution","title":"AI agents are flooding public services with new requests","category":"public-admin","kind":"side_effect","url":"https://society101.targeting.ai/cases/10-ai-agents-are-flooding-public-services-with-new-requests","country":null,"summary":"As generative AI tools make drafting complaints and petitions effortless, public agencies face surges in filings. UK housing ombudsman complaints grew from 2,600 in 2022 to over 7,000, while US CFPB complaints multiplied fivefold, straining administrative resources without a commensurate budget increase.","adaptation":"none","category_name":"Public administration","reported_at":"2026-09-10","evidence":["https://techcrunch.com/2026/09/10/ai-agents-are-flooding-public-services-with-new-requests/"],"last_updated":"2026-09-25T06:08:19.498617Z","institution":"Public services and administrative ombudsmen","mechanism":"friction-removed","who_pays":"Public service agencies and agency staff handling exponentially larger complaint volumes with unchanged budgets, leading to delays and processing backlogs","first_order_effect":"A massive surge in formal filings, inquiries, and complaints across 84 administrative and judicial bodies in 11 jurisdictions, including a 5x increase at the US CFPB and a doubling of housing complaints in the UK.","mechanism_name":null,"pays_group":"clerks-public-staff","externality_scale":5,"externality_speed":"fast","first_seen":"2026-09-25T05:54:53.240773Z"},{"id":34,"level":"institution","title":"AI Faked Citations In More Than 2,000 Cases As Google Pitches Legal Model","category":"courts","kind":"side_effect","url":"https://society101.targeting.ai/cases/34-ai-faked-citations-in-more-than-2-000-cases-as-google-pitche","country":"US","summary":"A database tracking legal hallucinations identified over 2,000 court decisions globally where AI-generated content or fake citations were submitted to courts, with self-represented litigants accounting for the majority of incidents. Courts have spent time detecting non-existent precedent, largely responding with warnings and occasional monetary sanctions.","adaptation":"verify","category_name":"Courts and tribunals","reported_at":"2026-09-08","evidence":["https://www.aol.com/articles/ai-faked-citations-more-2-205601000.html"],"last_updated":"2026-09-25T08:33:22.076749Z","institution":"Judiciary / Courts","mechanism":"friction-removed","who_pays":"Judges, court clerks, and opposing counsel who expend time attempting to verify non-existent citations, as well as litigants harmed by ungrounded filings","first_order_effect":"AI-generated citations and hallucinations appeared in at least 2,022 court decisions worldwide between April 2023 and September 2026, forcing courts to identify fake authorities, issue warnings, and sanction filers.","mechanism_name":null,"pays_group":"clerks-public-staff","externality_scale":4,"externality_speed":"fast","first_seen":"2026-09-25T08:14:08.836911Z"},{"id":29,"level":"institution","title":"FWC hit by wave of AI-assisted dismissal claims from Uber drivers","category":"courts","kind":"side_effect","url":"https://society101.targeting.ai/cases/29-fwc-hit-by-wave-of-ai-assisted-dismissal-claims-from-uber-dr","country":"AU","summary":"Australia's workplace relations tribunal, the Fair Work Commission, experienced a backlog of unresolved claims as unfair dismissal and deactivation applications from gig workers surged from virtually none to 500 in a year, driven in part by AI-generated filings.","adaptation":"none","category_name":"Courts and tribunals","reported_at":"2026-09-08","evidence":["https://www.afr.com/work-and-careers/workplace/fwc-hit-by-wave-of-ai-assisted-dismissal-claims-from-uber-drivers-20260908-p60vhu"],"last_updated":"2026-09-25T08:33:22.076749Z","institution":"Fair Work Commission","mechanism":"friction-removed","who_pays":"The Fair Work Commission tribunal through an administrative backlog and case delays","first_order_effect":"Unfair dismissal claims involving gig workers surged from virtually none to 500 in the first year, creating a backlog of unresolved cases at the commission.","mechanism_name":null,"pays_group":"clerks-public-staff","externality_scale":2,"externality_speed":"fast","first_seen":"2026-09-25T08:14:08.836911Z"},{"id":17,"level":"institution","title":"Major AI conferences desk-reject papers over LLM-hallucinated citations","category":"science","kind":"side_effect","url":"https://society101.targeting.ai/cases/17-major-ai-conferences-desk-reject-papers-over-llm-hallucinate","country":null,"summary":"Academic machine learning conferences introduced automated reference verification and desk rejections after discovering widespread LLM-hallucinated citations in submitted and accepted papers, leading to hundreds of desk rejections, high false-positive rates, and appeals.","adaptation":"verify","category_name":"Science and publishing","reported_at":"2026-09-05","evidence":["https://strictcite.com/blog/neurips-2026-hallucinated-citations-desk-reject"],"last_updated":"2026-09-25T06:08:19.498617Z","institution":"Academic computer science conferences (NeurIPS, ICLR, ICML, ACL)","mechanism":"friction-removed","who_pays":"Program chairs, senior area chairs, and reviewers spending hours adjudicating flagged references, plus authors navigating erroneous desk-rejections caused by false positives","first_order_effect":"Four major machine learning and NLP conferences (NeurIPS, ICLR, ICML, ACL) instituted automated cross-checks of citations against bibliographic databases and desk-rejected submissions with non-existent references, causing over 100 desk rejections at ACL alone, elevated desk-rejection rates at ICLR, and emergency review processes for false positives.","mechanism_name":null,"pays_group":"volunteers-reviewers","externality_scale":3,"externality_speed":"fast","first_seen":"2026-09-25T05:54:53.240773Z"},{"id":9,"level":"institution","title":"AI-generated submissions with fake references flood Australia's parliament inquiry system","category":"public-comment","kind":"side_effect","url":"https://society101.targeting.ai/cases/9-ai-generated-submissions-with-fake-references-flood-australi","country":"AU","summary":"An investigation found that at least 39 submissions to the Australian parliament contained hallucinated academic citations, with fake research attributed to real academics and at least one parliamentary committee report citing the invented material.","adaptation":"none","category_name":"Public consultation","reported_at":"2026-09-01","evidence":["https://4news.com.au/briefs/ai-hallucinations-parliamentary-submissions-20260901","https://completeaitraining.com/news/ai-generated-submissions-with-fake-references-flood/"],"last_updated":"2026-09-25T08:14:08.836911Z","institution":"Parliament of Australia","mechanism":"friction-removed","who_pays":"Parliamentary inquiries, lawmakers, and public policy decisions reliant on fabricated evidence","first_order_effect":"At least 39 submissions to the current parliament contained fabricated references, over 100 carried ChatGPT metadata tags, and at least one committee report incorporated the hallucinated evidence.","mechanism_name":null,"pays_group":"clerks-public-staff","externality_scale":4,"externality_speed":"fast","first_seen":"2026-09-25T05:54:53.240773Z"},{"id":36,"level":"institution","title":"Instagram Imposes Reach Penalties on Unlabeled and Mass-Produced AI Influencers","category":"media","kind":"side_effect","url":"https://society101.targeting.ai/cases/36-instagram-imposes-reach-penalties-on-unlabeled-and-mass-prod","country":null,"summary":"As generative AI lowered the cost of creating convincing personas, Instagram saw a proliferation of mass-produced accounts and hundreds of synthetic 'virtual doctors' dispensing unverified health advice. To address the resulting crisis of account authenticity, the platform introduced mandatory 'AI-Generated Profiles' labeling and reduced distribution for unlabeled or mass-generated accounts.","adaptation":"reform","category_name":"Media and culture","reported_at":"2026-08-31","evidence":["https://news.aibase.com/news/30733"],"last_updated":"2026-09-26T02:58:26.654598Z","institution":"Instagram","mechanism":"friction-removed","who_pays":"Instagram users and patients exposed to unverified medical advice and synthetic personas, and genuine creators competing against mass-generated accounts","first_order_effect":"A surge in synthetic virtual influencers, including hundreds of AI-generated 'virtual doctors and health celebrities' promoting health products and giving medical advice to divert traffic.","mechanism_name":null,"pays_group":"patients-clients","externality_scale":4,"externality_speed":"fast","first_seen":"2026-09-26T02:51:37.647976Z"},{"id":18,"level":"institution","title":"Rise of Hallucinated Citations in Legal Filings Spawns Verification Tool Industry","category":"courts","kind":"side_effect","url":"https://society101.targeting.ai/cases/18-rise-of-hallucinated-citations-in-legal-filings-spawns-verif","country":"US","summary":"Generative AI creates authoritative-sounding briefs with fabricated or altered legal citations, leading judges to sanction attorneys and triggering the emergence of dedicated citation-verification tools to audit both firm filings and opposing counsel.","adaptation":"verify","category_name":"Courts and tribunals","reported_at":"2026-08-28","evidence":["https://thedailyrecord.com/2026/08/28/ai-hallucination-tech-tools/"],"last_updated":"2026-09-25T06:08:19.498617Z","institution":"U.S. Federal and State Courts","mechanism":"signal-collapse","who_pays":"Judges, clerks, and opposing counsel who must cross-examine citations, along with law firms purchasing secondary verification software","first_order_effect":"Lawyers submit court briefs containing invented cases, altered holding details, and erroneous citations produced by AI editing tools, prompting judicial orders and sanctions.","mechanism_name":null,"pays_group":"clerks-public-staff","externality_scale":3,"externality_speed":"fast","first_seen":"2026-09-25T05:54:53.240773Z"},{"id":3,"level":"institution","title":"254 applicants per job: the AI doom loop in hiring","category":"hiring","kind":"side_effect","url":"https://society101.targeting.ai/cases/3-254-applicants-per-job-the-ai-doom-loop-in-hiring","country":"US","summary":"Greenhouse reports about 254 applicants per job across 175,000 live jobs and applications per recruiter up 412%; its fix is rationing (one dream job a month, hired at about five times the rate) and an interview for every applicant.","adaptation":"price","category_name":"Hiring and work","reported_at":"2026-07-27","evidence":["https://fortune.com/2026/07/27/greenhouse-ceo-daniel-chait-ai-doom-loop-job-seekers-spam-interview-applications-unemployment/"],"last_updated":"2026-09-25T05:27:38.757974Z","institution":"Greenhouse hiring platform","mechanism":"signal-collapse","who_pays":"candidates who apply once and carefully","first_order_effect":"Applications look alike; recruiters cannot tell interest from automation; hiring slows.","mechanism_name":null,"pays_group":"job-candidates","externality_scale":4,"externality_speed":"slow","first_seen":"2026-09-25T05:23:37.939148Z"},{"id":6,"level":"institution","title":"AAAI gave every paper an AI review, 22,977 in under a day","category":"science","kind":"side_effect","url":"https://society101.targeting.ai/cases/6-aaai-gave-every-paper-an-ai-review-22-977-in-under-a-day","country":null,"summary":"Every main-track submission at AAAI-26 received one identified AI review; the system generated reviews for all 22,977 full-review papers in less than a day; surveyed authors preferred them on technical accuracy.","adaptation":"detect","category_name":"Science and publishing","reported_at":"2026-04-15","evidence":["https://arxiv.org/abs/2604.13940"],"last_updated":"2026-09-25T05:27:38.757974Z","institution":"AAAI-26 conference","mechanism":"arms-race","who_pays":"reviewers whose judgment is now benchmarked against a model","first_order_effect":"The reader automated; authors preferred the machine's review on technical accuracy.","mechanism_name":null,"pays_group":"volunteers-reviewers","externality_scale":3,"externality_speed":"fast","first_seen":"2026-09-25T05:23:37.939148Z"},{"id":4,"level":"institution","title":"More than 20,000 comments from one platform in an air-quality vote","category":"public-comment","kind":"side_effect","url":"https://society101.targeting.ai/cases/4-more-than-20-000-comments-from-one-platform-in-an-air-qualit","country":"US","summary":"Records show more than 20,000 public comments opposing a gas-appliance phase-out were generated by CiviClick; the board rejected the rule 7-5; the district could not establish whether the senders were real.","adaptation":"none","category_name":"Public consultation","reported_at":"2026-02-17","evidence":["https://www.latimes.com/environment/story/2026-02-17/ai-powered-campaign-may-have-killed-key-vote-on-air-quality"],"last_updated":"2026-09-25T05:33:06.599450Z","institution":"South Coast Air Quality Management District","mechanism":"signal-collapse","who_pays":"residents whose real comments no longer count","first_order_effect":"A comment period read as overwhelming opposition; authenticity unresolved.","mechanism_name":null,"pays_group":"patients-clients","externality_scale":3,"externality_speed":"slow","first_seen":"2026-09-25T05:23:37.939148Z"},{"id":2,"level":"institution","title":"curl ended its bug bounty after AI-written reports drowned the real ones","category":"open-source","kind":"side_effect","url":"https://society101.targeting.ai/cases/2-curl-ended-its-bug-bounty-after-ai-written-reports-drowned-t","country":null,"summary":"Since 2019 the programme paid over $100,000 for 87 confirmed vulnerabilities; from 2025 fewer than one report in twenty was real. It stopped on 31 January 2026.","adaptation":"price","category_name":"Open source and security","reported_at":"2026-01-26","evidence":["https://daniel.haxx.se/blog/2026/01/26/the-end-of-the-curl-bug-bounty/"],"last_updated":"2026-09-25T05:27:38.757974Z","institution":"curl bug bounty","mechanism":"friction-removed","who_pays":"the maintainers, and legitimate reporters who lose the reward","first_order_effect":"Confirmed-report rate from above 15% to below 5%; maintainers' time consumed by debunking; the reward removed.","mechanism_name":null,"pays_group":"volunteers-reviewers","externality_scale":2,"externality_speed":"fast","first_seen":"2026-09-25T05:23:37.939148Z"},{"id":5,"level":"institution","title":"One in five ICLR 2026 reviews was fully AI-written","category":"science","kind":"side_effect","url":"https://society101.targeting.ai/cases/5-one-in-five-iclr-2026-reviews-was-fully-ai-written","country":null,"summary":"Pangram analysed the papers and reviews of ICLR 2026 and found 15,899 reviews, 21%, fully AI-generated and over half with some AI involvement; ICLR desk-rejects undisclosed LLM papers and penalises reviewers.","adaptation":"detect","category_name":"Science and publishing","reported_at":"2025-11-19","evidence":["https://www.pangram.com/blog/pangram-predicts-21-of-iclr-reviews-are-ai-generated"],"last_updated":"2026-09-25T05:27:38.757974Z","institution":"ICLR 2026 peer review","mechanism":"arms-race","who_pays":"authors, and the field's trust in its own review","first_order_effect":"A fifth of reviews generated; authors answer filler; detection tools triage.","mechanism_name":null,"pays_group":"general-public","externality_scale":4,"externality_speed":"fast","first_seen":"2026-09-25T05:23:37.939148Z"},{"id":37,"level":"institution","title":"AI-Assisted Ghost Students and Financial Aid Fraud at California Community Colleges","category":"education","kind":"side_effect","url":"https://society101.targeting.ai/cases/37-ai-assisted-ghost-students-and-financial-aid-fraud-at-califo","country":"US","summary":"Fraud rings and 'Pell runners' deployed AI to fabricate applicant identities, automate communications, submit false documents, and simulate coursework participation to siphon student financial aid, resulting in nearly a third of all applications to California Community Colleges being identified as fraudulent.","adaptation":"verify","category_name":"Education","reported_at":null,"evidence":["https://www.aalrr.com/EdLawConnectBlog/responsible-ai-usage-in-higher-education-governance-academic-integrity-and-fraud-compliance-risks"],"last_updated":"2026-09-26T02:58:26.654598Z","institution":"California Community Colleges","mechanism":"friction-removed","who_pays":"Public taxpayers funding federal and state financial aid, and college admissions and financial aid staff burdened with fraud verification","first_order_effect":"In 2024, California Community Colleges reported that across 116 campuses, nearly 31% of all applications received were fraudulent ghost students, causing $3 million in state funding losses and $10 million in federal funding losses.","mechanism_name":null,"pays_group":"public-budgets","externality_scale":3,"externality_speed":"fast","first_seen":"2026-09-26T02:51:37.647976Z"},{"id":13,"level":"institution","title":"AI Click Farms Flood Amazon Kindle Bestseller Rankings","category":"media","kind":"side_effect","url":"https://society101.targeting.ai/cases/13-ai-click-farms-flood-amazon-kindle-bestseller-rankings","country":null,"summary":"Independent authors report that coordinated AI click farms are churning out hundreds of generated books to manipulate Amazon bestseller lists and Kindle Unlimited page reads, capturing up to 86 of the top 100 spots in specific categories and displacing human writers.","adaptation":"none","category_name":"Media and culture","reported_at":null,"evidence":["https://www.facebook.com/LisaBraceAuthor/posts/this-post-goes-a-long-way-to-explaining-what-real-authors-are-up-against-right-n/1101628356138107/"],"last_updated":"2026-09-25T06:08:19.498617Z","institution":"Amazon","mechanism":"friction-removed","who_pays":"Human independent authors whose discoverability, chart placement, and Kindle Unlimited revenue are displaced by mass-produced AI books","first_order_effect":"Coordinated accounts released over 600 books within a single year, capturing roughly 86 of the top 100 spots in a single category and reaching the top 100 of the entire Amazon store.","mechanism_name":null,"pays_group":"creators-small-publishers","externality_scale":2,"externality_speed":"fast","first_seen":"2026-09-25T05:54:53.240773Z"}],"license":"https://creativecommons.org/licenses/by/4.0/","generated_at":"2026-09-27T08:30:54Z"}