Human oversight studies
Experiments test whether people reviewing AI outputs catch errors or defer to the system, and how interface design changes that.
GCRI · Zîrekiya çêkirî û pergalên xweser
Social science of AI
Social and behavioural science studies how people use, trust and are affected by AI. In this field it supplies surveys, experiments and qualitative research on çavdêriya mirovî, public attitudes, labour effects and the experience of people subject to algorithmic decisions.
01Qeyd
Social science of AI on the record.
Method recordSTEM method
- RêbazZanistên civakî û tevgerî
- ParêzvanCivak û pêşketina mirovî
- Applied inZîrekiya çêkirî û Pergal
- Dane3 inputs
- Checks3 validation steps
- Canonical pageSTEM Commons
02Application
What social and behavioural science does here.
Social and behavioural science studies how individuals, groups and institutions think, act and organise. It explains vulnerability, têgihiştina xetereyê, compliance and collective response to shocks. In artificial intelligence and data and compute, social science identifies who is exposed and less able to cope, and why warnings are or are not acted upon. It informs equitable design of policies and interventions across interconnected risks. The canonical description is on STEM Commons.
Affected community research
Interviews and participatory research with people subject to algorithmic decisions document their experience and what accountability they need.
Workplace adoption studies
Surveys and field studies measure how workers use AI tools and how tasks, productivity and job quality change.
03Çavdêrî bike
Survey analysis.
The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.
Survey analysis
AI and autonomous systems · Social science of AI · Run R-1790
Estimates stableGCRI · Zîrekiya çêkirî û pergalên xweser
Estimates
robust standard errors
| Models in registry | 0.28 | 0.09 | [−0.1, 0.3] | Erê |
| Evaluations passed at release | −0.04 | 0.02 | [−0.3, 0.2] | Na |
| Open AI incidents | 0.36 | 0.04 | [0.0, 0.7] | Erê |
| Agent actions needing approval | 0.09 | 0.02 | [−0.1, 0.5] | Na |
Method card
- Rêbaz
- Zanistên civakî û tevgerî
- Sample
- 5881 obs
- Sêwirandin
- stratified, weighted
- Nîşan
- MODELKIRÎ
Residuals by group
04Dane
What the method consumes.
Datasets and records used by social and behavioural science on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.
| Dane | Rol | Nîşan |
|---|---|---|
| Experimental data | Oversight behaviour | ÇAVDÊRÎKIRÎ |
| Interview records | Affected experience | REPORTED |
| Worker surveys | Pejirandin | REPORTED |
05Rêbaz û delîl
How Social science of AI is modelled, measured and tested.
Model, texmînên wî, daneyên wî û nediyariya wî, bi şeweyê ku zanyar an endezyar kontrol bike. Avahî rêbazên weşandî dişopînin. Nirxên hatine xêzkirin nimûneyî ne, ne encam in.
Model, hevkêşe û texmîn
The model structure used for Social science of AI, the assumptions it makes and how each is tested.
Xetera hêmana i
Ri = f(Hi, Ei, Vi, Ci)metirsî, rûbirûbûn, lawazî û kapasîteya serederiyêWindahiya salane ya hêvîkirî
EAL = ∑k pk · Lkli ser bûyerên k bi îhtîmala salane pkPergalên girêdayî
xt+1 = A xt + B ut + εtA carries the couplings, u the shock, ε the error| Texmîn | Çima tê çêkirin | Çawa tê ceribandin |
|---|---|---|
| Metirsî û rûbirûbûn di nav bûyerekê de serbixwe ne | Entegrala windahiyê ji hesabkirinê re maqûl dihêle | Bi lihevhatineke copula li ser tomarên hevbeş re bidin ber hev |
| Girêdan li nêzî xala xebatê xêzik in | Dihêle şok di A de belav bibin | Ji derveyî rêza xêzik tevlihev bike û bide ber hev |
| Xêzên lawaziyê di navbera cihan de têne veguhastin | Xêzikên herêmî kêm tên dîtin | Li hember windahiyên çavdêrîkirî erê bike li cihê ku hene |
- Têketin
- danehevên bi guhertoyan û çavkaniyê
- Derketin
- belavkirin, tu carî jimarên tenê
- Kod
- bi qerta modelê û ceribandinan re hat weşandin
- Zêdebûn
- heman dane, kod, jîngeh û tov
Prensîbên rêber ên FAIR · GO FAIR û FORCE11W3C PROV · World Wide Web ConsortiumRêwerzên ji bo birêvebirina hevgirtî ya nediyarîyan · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
06Erêkirin
How results are checked.
Findings are tested through replication, triangulation of methods and pre-registered designs. Measurement instruments are checked for reliability and validity.
| Kontrol bikin | How it is done |
|---|---|
| Ethics review | Research with participants passes ethics review with informed consent |
| Pre-registration | Experimental hypotheses and analyses are registered in advance |
| Representative sampling | Surveys state their sampling frame and weighting |
Behaviour is context dependent and may change under stress. Self-reported data carry recall and social desirability biases.
07Pêvajo
Pêvajo çawa dimeşe.
Process explorer · Process
Social science of AI: PRISMA 2020 review reporting
10 steps·4 qonax
Pêvajo
Social science of AI: PRISMA 2020 review reporting
PRISMA 2020 is a reporting guideline for systematic reviews; the steps follow its checklist, not a mandated sequence, and no Nexus document adopts it.
01 Plan
- 01Registration and protocolRecord · The review teamThe guideline asks for registration details, access to the protocol and any amendments.
- 02Eligibility criteriaRecord · The review teamThe guideline asks for the inclusion and exclusion criteria and how studies were grouped.
02 Find and select
- 03Search: sources and strategiesStep · The review teamThe guideline asks for the information sources and the full search strategies. It does not fix which sources are used.
- 04Selection of studiesStep · The review teamThe guideline asks how studies were judged eligible, including how many reviewers screened. It does not fix the number of reviewers.
- 05Flow diagramTomarThe flow diagram shows the number of records found, the number of studies included and the reasons for exclusion.
03 Analyse
- 06Data collectionStep · The review teamThe guideline asks how data were collected from reports and which data items were sought.
- 07Risk of biasStep · The review teamThe guideline asks for the methods and tools used to assess risk of bias.
- 08SynthesisModel · The review teamThe guideline asks for the effect measures and the synthesis methods. It does not prescribe meta-analysis.
- 09Certainty of evidenceStep · The review teamThe guideline asks for the methods used to assess certainty, and reports the result per outcome. It does not name a grading scale.
04 Report
- 10Review reportTomarThe guideline helps authors report why the review was done, what they did and what they found.
rêzeya Pergalên StratejîkOutline of an externally published reporting guideline, not a Nexus process and not a record of operation. PRISMA 2020 mainly covers reviews of intervention effects. No Nexus page names it. Every programme is at service level R0.
08Connections
Topics that rely on this method.
09Stewardship
Who maintains the method.
Civak û pêşketina mirovî stewards social and behavioural science for the Consortium and reviews how it is applied across platforms.
10Girêdayî
Ev rûpel li ser Konsorsiyûmê te ber bi kû ve dibe.
11Pirs
Pirs û bersiv.
What are the limits of social and behavioural science in this field?
Behaviour is context dependent and may change under stress. Self-reported data carry recall and social desirability biases.
How are results checked?
Findings are tested through replication, triangulation of methods and pre-registered designs. Measurement instruments are checked for reliability and validity.
Are the values on this page real?
The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method’s use, not a run; no result is reported here.
Where else is this method applied?
Çavdêrxaneya canonical method page lists every platform that applies it.
rêzeya Pergalên StratejîkTevkarî bike
Ji vê rûpelê delîl bidin.
Reports is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
GCRIZîrekiya çêkirî û pergalên xweserTeknolojiya eksponensiyelDelîlên Labs
- E-nameDergeh GW-GCRIJi vê rûpelê bişîninDelîl, rastkirin, doz, rêbaz, nirxandin, wergerandin an têketina profîlê. Bi nîşana vê rûpelê digihîje, ji ber vê yekê edîtorê xwediyê wê wê bistîne.
- ZenodoDepoya vekirîWê razînin û ji civakê re bişîninTomara xwe li Zenodo bi ORCID iD ya xwe biweşînin, paşê wê li wir ji civaka Reports re bişînin. Kurator wê vedikolin; DOI ya we dimîne.
- rêzeya Pergalên StratejîkGCRIHemû rêyên beşdariyê bibîneCureyên beşdariyê, her yek çawa tê nirxandin, tu çi navlêkirinê distînî, lîsans û tiştê ku qet nayê qebûlkirin.
Tu carî daneyên şexsî, hûrgiliyên binesaza hesas an tiştekî ku mafê we yê parvekirinê tune ne neşînin. Beşdarî berî bikaranînê tê nirxandin; şandina wê nivîskarî an mafên edîtorî nade û sponsorî tu carî encamekê nakire.
Zîrekiya çêkirî û pergalên xweser
Rêbazek, danehevek an pirsek bîne.
Agahî û pirs îro vekirî ne. Pirsek referansekê distîne û gava piştî wê dide nasîn; serlêdan, drav, veqetandina hesabkirinê û tomarkirin tenê dema ku tîm, mercên wê û kapasîteya vekolînê hebin vedibin.
Hiqûqî
Belgeyên hiqûqî.
Nexşe, dane û jimarên vê malperê ji bo çarçoveyê û agahiyên giştî têne nîşandan. Ew ne şîret, ne pêşbînî û ne hişyarî ne; sînorên agahiyê di Daxuyaniyên Berpirsiyariyê û Daxuyaniyên Daneyê de hatine diyarkirin.