[{"id":"bls-middle-school-teachers","url":"https:\/\/www.bls.gov\/ooh\/education-training-and-library\/middle-school-teachers.htm","title":"BLS Occupational Outlook Handbook: Middle-school teachers","published":null,"checked_at":"2026-10-29T22:26:34.495908+00:00","supporting_passage":"Middle school teachers educate students, typically in sixth through eighth grade.","original_summary":"Instruction includes lesson preparation, assessment, classroom teaching, parent communication and supervision.","evidence_type":"official_occupational_description_and_projection","limitations":["US occupational description; not measured AI task performance.","Employment projections are forecasts, not observed AI displacement."],"redistribution":"public_domain","family_id":"bls-ooh-oews-projections","capture_sha256":"3d29185ee8c0b954effc909adda763197afa05e5fc94ec1d932a8ec84508e425"},{"id":"bls-accountants","url":"https:\/\/www.bls.gov\/ooh\/business-and-financial\/accountants-and-auditors.htm","title":"BLS Occupational Outlook Handbook: Accountants and auditors","published":null,"checked_at":"2026-10-29T22:26:34.494407+00:00","supporting_passage":"Accountants and auditors prepare and examine financial records","original_summary":"Accountants examine records, evaluate financial risks, prepare taxes and communicate findings. BLS expects routine automation to change the task mix.","evidence_type":"official_occupational_description_and_projection","limitations":["US occupational description; not measured AI task performance.","Employment projections are forecasts, not observed AI displacement."],"redistribution":"public_domain","family_id":"bls-ooh-oews-projections","capture_sha256":"b7e5af4e159a119e7fc1d77cd74869979a7dd1d20cdcb6b79aeeb43cd6543b60"},{"id":"bls-truck-drivers","url":"https:\/\/www.bls.gov\/ooh\/transportation-and-material-moving\/heavy-and-tractor-trailer-truck-drivers.htm","title":"BLS Occupational Outlook Handbook: Heavy and tractor-trailer truck drivers","published":null,"checked_at":"2026-10-29T22:32:12.413704+00:00","supporting_passage":"Heavy and tractor-trailer truck drivers transport goods from one location to another.","original_summary":"Drivers transport goods, inspect equipment and cargo, maintain records and report incidents; duties extend beyond driving.","evidence_type":"official_occupational_description_and_projection","limitations":["US occupational description; not measured AI task performance.","Employment projections are forecasts, not observed AI displacement."],"redistribution":"public_domain","family_id":"bls-ooh-oews-projections","capture_sha256":"e17bd84570d6d618983cea1407eb2b265a37add3bc5608a38a39b84a305acc42"},{"id":"nfer-trial","url":"https:\/\/www.nfer.ac.uk\/publications\/chatgpt-in-lesson-preparation-a-teacher-choices-trial\/","title":"ChatGPT in lesson preparation: Teacher Choices Trial","published":"2024-12-12","checked_at":"2026-10-29T22:32:48.242601+00:00","supporting_passage":"259 Year 7 and Year 8 science teachers from 68 schools","original_summary":"In the 2024 trial, 259 teachers in 68 English schools participated. For scoped science planning, reported weekly preparation was 56.2 minutes with ChatGPT plus guidance versus 81.5 without GenAI.","evidence_type":"external_school_randomized_trial","limitations":["England science teachers; not representative of US teachers.","Scoped preparation activity, not the whole teaching workload."],"redistribution":"citation_short_excerpt_original_summary","family_id":"nfer-eef-2024-lesson-planning-rct","capture_sha256":"dcd3e88d0d8c8cc5f20056be74ed8e44291ca1d6fcc12fa98c82c7840caf4ab5"},{"id":"eef-report","url":"https:\/\/d2tic4wvo1iusb.cloudfront.net\/production\/documents\/projects\/chatgpt_in_lesson_planning_-_evaluation_report.pdf?v=1792925052","title":"ChatGPT in Lesson Preparation: Evaluation Report","published":"2024-12","checked_at":"2026-10-29T22:27:48.809687+00:00","supporting_passage":"measured via a workload question in a weekly teacher diary","original_summary":"Randomization was at school level. Weekly diaries measured the outcome after a five-week learning period; 18.5% were excluded from the primary analysis for missing diaries. Sampled blinded resource review found no detectable quality difference.","evidence_type":"external_trial_methods","limitations":["Self-reported workload; missingness and England-to-US transfer limit inference.","No detected quality difference does not prove equivalence."],"redistribution":"citation_short_excerpt_original_summary","family_id":"nfer-eef-2024-lesson-planning-rct","capture_sha256":"332b20fd6d222b73d6faa649678ba09c64e9babac06e29a627f91b262e97e2f5"},{"id":"accounting-field","url":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/1475-679X.70052","title":"Human + AI in Accounting: Early Evidence from the Field","published":"2026-04-16","checked_at":"2026-10-29T22:31:01.095771+00:00","supporting_passage":"adoption is endogenous","original_summary":"The study combines 277 accountant surveys, proprietary records for 79 SMEs and a framed account-classification experiment. Field adoption associations coexist with experimental evidence of improved average classification accuracy and errors from following non-consensus advice.","evidence_type":"peer_reviewed_external_multi_method_study","limitations":["Field associations do not identify a causal occupation-wide effect.","Single partner platform and bounded account classification; transfer to tax\/audit responsibility is unestablished.","Raw proprietary data not available in this package."],"redistribution":"citation_short_excerpt_original_summary","family_id":"choi-xie-accounting-platform-study","capture_sha256":"8875810180c1f97063e4218855b2ec9ae19538e21f221ca2a0ce5e1f292e1f76"},{"id":"aurora-operator","url":"https:\/\/aurora.tech\/newsroom\/your-questions-about-our-latest-driverless-launch-answered","title":"Aurora driverless launch questions","published":"2026-07-22","checked_at":"2026-10-29T22:32:48.243439+00:00","supporting_passage":"The driver's seat is empty.","original_summary":"Aurora reports second-generation trucks operating with an empty driver seat, sometimes carrying a roadside-assistance person, and a commercial network of ten driverless routes.","evidence_type":"operator_claim","limitations":["Company statement, not independent safety or operational verification.","Bounded operator network; no occupation-wide displacement rate or nationwide capability inferred.","Driving evidence does not establish cargo inspection, coupling or other duties."],"redistribution":"citation_short_excerpt_original_summary","family_id":"aurora-driverless-deployment","capture_sha256":"60fc27fc61ebb9967fa64521f56ed6e633b94d3a8575e0d121563a195327ef26"},{"id":"bls-graphic-designers","url":"https:\/\/www.bls.gov\/ooh\/arts-and-design\/graphic-designers.htm","title":"BLS Occupational Outlook Handbook: graphic designers","published":null,"checked_at":"2026-10-29T22:49:42.181102+00:00","supporting_passage":"Graphic designers create visual concepts","original_summary":"Graphic designers create visual concepts and layouts, confer with clients, and check final work.","evidence_type":"official_occupational_description","limitations":["US occupational description; no AI performance finding."],"redistribution":"public_domain","family_id":"bls-ooh-oews-projections","capture_sha256":"7a6f9f922fcb8870f87f7deb51e5327f6ea5334f26a303f2dd23bfa02957617e"},{"id":"bls-operations-managers","url":"https:\/\/www.bls.gov\/ooh\/management\/top-executives.htm","title":"BLS Occupational Outlook Handbook: operations managers","published":null,"checked_at":"2026-10-29T22:49:42.181102+00:00","supporting_passage":"General and operations managers oversee activities","original_summary":"General and operations managers oversee daily work, assign duties and direct use of materials and human resources.","evidence_type":"official_occupational_description","limitations":["US occupational description; no AI performance finding."],"redistribution":"public_domain","family_id":"bls-ooh-oews-projections","capture_sha256":"0dba50f840ab0b65fded0f43fc3f9fe6359be9b051cc36f5eaf2fccc67173222"},{"id":"informs-design-stages","url":"https:\/\/pubsonline.informs.org\/doi\/10.1287\/isre.2024.0937","title":"The Double-Edged Roles of Generative AI in the Creative Process: Experiments on Design Work","published":"2025-10-03","checked_at":"2026-10-29T22:49:42.181102+00:00","supporting_passage":"Using GenAI also significantly extended the time spent in the ideation stage.","original_summary":"In a randomized field experiment with 120 employed graphic\/visual designers, AI-assisted ideation improved expert-rated creativity while taking longer. Implementation-only AI use added time without significant creativity gains.","evidence_type":"randomized_field_experiment","limitations":["One advertisement competition; task-specific creativity and time outcomes, not occupation-wide productivity.","Study 2 used Midjourney V6.1. Student expertise groups in Study 1 are separate from the employed professionals in Study 2.","No significant creativity improvement is not proof of equal quality. No employment-displacement inference."],"redistribution":"citation_short_excerpt_original_summary","family_id":"hou-design-stage-experiments","capture_sha256":"fdf71d8a472dd3cabc4e4ac9470e90ed7c35312da8d56cb09daf12779a158acc"},{"id":"nber-cybernetic-april2025","url":"https:\/\/www.nber.org\/system\/files\/working_papers\/w33641\/w33641.pdf","title":"The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise","published":"2025-04","checked_at":"2026-10-29T22:49:42.181102+00:00","supporting_passage":"individuals with AI spent 16.4% less time than the control group","original_summary":"The April 2025 NBER working paper analyzes 776 randomized P&G professionals in a one-day product-development workshop. Individual AI users produced higher-rated proposals and spent 16.4% less task time than individuals without AI.","evidence_type":"preregistered_randomized_working_paper","limitations":["Commercial and R&D participants, not a representative general-operations-manager sample.","One-day workshop and one-hour AI training; limited evidence on extended coordination, repeated revisions or actual operational execution.","Use the April 2025 paper's 776 randomized participants; do not pool with HBS reporting of 791.","Task working time excludes any inference of net organizational savings or staffing effects."],"redistribution":"citation_short_excerpt_original_summary","family_id":"pg-cybernetic-teammate","capture_sha256":"3ee5a04d49d28473ab2406c8a1ad77a07fc696173ebbd45ac99c9766860815f0"},{"id":"bls-registered-nurses-oct29","url":"https:\/\/www.bls.gov\/ooh\/healthcare\/registered-nurses.htm","title":"BLS: Registered nurses","published":null,"checked_at":"2026-10-29T22:47:48.094260+00:00","supporting_passage":"Registered nurses (RNs) provide and coordinate patient care","original_summary":"Nursing includes documentation, monitoring, treatment, care coordination and education.","limitations":["Official US description; no AI performance measurement."],"redistribution":"citation_short_excerpt_original_summary","family_id":"bls-occupation-description","capture_sha256":"0b67e667a12f233057dc758a74c256d5da396634b223a40adc176e01ed5a140f"},{"id":"bls-hotel-desk-clerks-oct29","url":"https:\/\/www.bls.gov\/ooh\/office-and-administrative-support\/information-clerks.htm","title":"BLS: Information clerks, hotel desk subtype","published":null,"checked_at":"2026-10-29T22:47:48.094260+00:00","supporting_passage":"They check guests in and out, assign rooms, and process payments.","original_summary":"Hotel desk clerks register guests, assign rooms, process payments and maintain reservation records.","limitations":["Use the named hotel desk subtype; the wider information-clerk category is not an occupation-specific AI estimate."],"redistribution":"citation_short_excerpt_original_summary","family_id":"bls-occupation-description","capture_sha256":"0a88d55054d500ab645de1ea59fbcc86436df306802ef481de3f76221addc036"},{"id":"ju-nursing-virtual-2025","url":"https:\/\/www.ebi.ac.uk\/europepmc\/webservices\/rest\/PMC12086439\/fullTextXML","title":"Generative AI-Based Nursing Diagnosis and Documentation Recommendation Using Virtual Patient Electronic Nursing Record Data","published":"2025-04","checked_at":"2026-10-29T22:46:44.636744+00:00","supporting_passage":"The study procedure consisted of two phases: traditional nursing documentation and generative AI-assisted nursing documentation.","original_summary":"A fixed-order pilot of 40 South Korean nurses compared documentation in a virtual-patient training system, then with SmartENR AI. The authors report shorter documentation time, but internal numerical inconsistencies prevent a reliable normalized savings estimate.","limitations":["Fixed order and repeated familiar scenarios create learning\/order confounding; no randomized clinical workflow comparison.","Virtual patients and a training ENR, not a production hospital EHR or patient-safety evaluation.","Abstract and Table 1\/Results report different time means; approximately 40% and 38.6% statements are inconsistent. No percentage saving is used.","Five authors were current or former DKMediInfo employees, the SmartENR provider.","CC BY-NC source; private raw XML is not redistributed. Only citation, brief excerpt and original summary are exported."],"redistribution":"citation_short_excerpt_original_summary","family_id":"ju-smartenr-virtual-patient-2025","capture_sha256":"3cdd82723c99705bd8efde98eaf22fae4fb9e9e13f3313caaee28d8c35e85439"},{"id":"wan-nurse-reception-2024","url":"https:\/\/pubmed.ncbi.nlm.nih.gov\/39009780\/","title":"Outpatient reception via collaboration between nurses and a large language model: a randomized controlled trial","published":"2024-07-15","checked_at":"2026-10-29T22:47:03.422779+00:00","supporting_passage":"In a single-center randomized controlled trial involving 2,164 participants","original_summary":"The published trial abstract reports higher patient satisfaction for nurse–LLM collaboration than nurse-only reception in a single-center study of 2,164 participants.","limitations":["This is the author abstract retained through PubMed, not a full-text methods audit.","Patient satisfaction in outpatient reception is distinct from nursing documentation accuracy, bedside care, staffing or job displacement.","No whole-job performance or independent clinical safety conclusion follows."],"redistribution":"citation_short_excerpt_original_summary","family_id":"wan-sspec-reception-rct-2024","capture_sha256":"303cc99f96c0ab67a670d778ac44d49d882ce0c0c276a1ffeaf1eb55960d78de"},{"id":"xu-hotel-receptionists-2025","url":"https:\/\/journals.sagepub.com\/doi\/10.1177\/14673584251408708","title":"The influence of human-robot collaboration on perceived job duality and workplace well-being: Hotel employees’ perspectives","published":"2025-12-20","checked_at":"2026-10-29T22:46:03.554345+00:00","supporting_passage":"By employing a scenario-based experimental design method and using a sample of 384 hotel receptionists","original_summary":"A scenario experiment with 384 current hotel receptionists studied robot functionality, appearance and entertainment. It measured perceived social presence, job insecurity and wellbeing, rather than completed hotel transactions.","limitations":["Online Prolific screening selected current receptionists; purposive platform recruitment is not a representative workforce sample.","Participants evaluated hypothetical robot scenarios, not observed deployed robot or GenAI performance.","Perceived job insecurity is a psychological response, not observed job loss or replacement probability.","Full text was accessed for methods, but source text\/images are not included in public downloads."],"redistribution":"citation_short_excerpt_original_summary","family_id":"xu-hotel-robot-scenarios-2025","capture_sha256":"5ce86693cf4836bf55fb37c2632bfcad7d71d88deaa09b78ff70fd88b1bd51a1"},{"id":"zhang-frontdesk-pilot-poster","url":"https:\/\/www.iaee.com\/wp-content\/uploads\/2026\/01\/Learning-AI-by-Doing-A-Pilot-Study-of-Human-AI-Collaboration-and-Employee-Stress-in-Guest-Services.pdf","title":"Learning AI by Doing: A Pilot Study of Human–AI Collaboration and Employee Stress in Guest Services","published":null,"checked_at":"2026-10-29T22:46:24.757286+00:00","supporting_passage":"Pilot 1 utilized convenience sampling with four EIM students","original_summary":"A front-desk GenAI simulation poster describes an initial four-student pilot, followed by seven students refining simulation logistics. It provides task-design observations without a demonstrated workforce productivity effect.","limitations":["Conference poster preparation; no completed representative employee effectiveness trial.","Student convenience pilots and scenario realism checks do not establish hotel employee productivity or stress reduction.","Upload-path year is not treated as a verified publication date."],"redistribution":"citation_short_excerpt_original_summary","family_id":"zhang-calpoly-frontdesk-pilot","capture_sha256":"56f9d8753d4a77bcb4cb16de47e67be883bf76a41cb34630d2e516743be111c8"}]