While Artificial Intelligence (AI) can play a valuable role in research, its use must remain transparent, traceable, and responsibly integrated within scholarly practices. Help us develop a global reporting standard for AI disclosure in research.
Ndozi doro anya gbasara ojiji nke AI n'isiokwu nyocha na ihe ndị ọzọ sitere n'ọgụgụ akwụkwọ bụ akụkụ dị mkpa nke iguzosi ike n'ezi ihe nyocha.
Ugbu a, atumatu na omume maka otú to disclose AI use vary widely across disciplines, regions and publication cultures. Many publishers have their own disclosure requirements. These developments underscore the need for a shared, global understanding of how AI contributions to research should be made transparent.
To address this need, the International Science Council (ISC), the Kọmiti na ụkpụrụ omume mbipụta (COPE), na Njikọ nke Ndị Nbipụta Sayensị, Nkà na Ụzụ na Ahụike (STM) na Global Young Academy (GYA) ewerela ụzọ nkwonkwo iji rụọ ọrụ iji mezuo Ụkpụrụ Akụkọ Ụwa Maka Ikpughe AI na Nnyocha. This work aims to develop a broadly supported reporting standard that can be used across research disciplines, publication cultures and organisational contexts.
This initiative formed the focus track of the Nzukọ mba ụwa maka iguzosi ike n'ezi ihe nyocha in Vancouver, in May 2026. This track aims to develop a broadly supported reporting standard that can be used across research disciplines, publication cultures and organisational contexts.
Dị ka ngwaọrụ akụkọ e guzobere, dịka Ọrụ Ndị Nnyemaka Taxonomy (CRediT), ọkọlọtọ dị otu a ga-enyere aka ịhazi atụmanya n'ofe gburugburu ebe obibi nyocha, mee ka omume mkpughe dịkwuo mma ma yie ihe, ma mee ka mmejuputa site n'aka ndị mbipụta, ụlọ ọrụ na ndị nchọpụta.
Site n'ikwekọ na mkpughe AI, anyị nwere olileanya ịkwado nghọta, belata enweghị obi abụọ n'etiti ndị edemede, ma mechaa mee ka iguzosi ike n'ezi ihe nyocha sikwuo ike.
This initiative formed the focus track nke Nzukọ mba ụwa maka iguzosi ike n'ezi ihe nyocha in Vancouver, held in May 2026. In two 90 minutes sessions, participants discussed thresholds for AI disclosure in a position game (slides of session 2.B on thresholds) and documenting AI oversight and verification processes (slides of session 4.B on accountability).
Iji hụ na mmepe nke ọkọlọtọ akụkọ a na-egosipụta ọtụtụ echiche dị iche iche, ISC, WCRIF, COPE, STM na GYA na-akpọ ndị otu ha na obodo nyocha sara mbara ka ha nye aka site na agba nke ndụmọdụ atọ:
Usoro itinye aka a na-akpọkọta echiche sitere n'aka ndị nchịkọta akụkọ, ndị otu agụmakwụkwọ, ndị ndu ụlọ ọrụ nyocha, ndị na-enye ego, ọbá akwụkwọ, ndị otu omume ọma, ndị mbipụta akwụkwọ na ndị ọkachamara n'iguzosi ike n'ihe gbasara nnyocha.
We invite ISC Members and the broader research community to share their input through the survey below by 16 October 2026.
Ntinye aka gị dị oke mkpa iji wulite nghọta zuru ụwa ọnụ gbasara mkpughe AI na nyocha, yana iji hụ na ọkọlọtọ a bara uru ma dịkwa irè n'ọtụtụ usoro nyocha ụwa.
Anyị na-ekele gị nke ukwuu tupu oge eruo maka onyinye gị.
We encourage you, before filling the webform below:
Biko dee ihe ị chọrọ ikwu nke ọma ma doo anya.
You can participate through the survey below. Click the title “Consultation round 2” or the + sign. If you encounter problems, please contact Bert Seghers at [email protected].
This initiative was proposed to the World Conference on Research Integrity 2026 by Kari D. Weaver (Program Manager, AI and Machine Learning and Learning, Teaching, and Instructional Design Librarian, Kọmịshọnlọ Akwụkwọ Mahadum nke Ontario) na Bert Seghers (Onyeisi nke ENRIO, Ụlọ Ọrụ Nnyocha nke Europe nke Iguzosi Ike n'Ezi Ihe). ISC, COPE, STM and the GYA are ambassadors of this track. It is supported by ENRIO and ISC staff.
To get in touch, contact Bert Seghers at [email protected] ma ọ bụ Felix Dijkstal na [email protected].
ihe 
akwụkwọ na-aga n'ihu na-aga n'ihu na-aga n'ihu Debanye aha na ISC kwa ọnwa ịnata mmelite isi site na ISC na obodo ndị sayensị sara mbara, wee lelee akwụkwọ akụkọ anyị pụrụ iche na Open Science, United Nations, na ndị ọzọ.
