Trustworthy AI &Data Analytics
Three parallel tracks on measurement, provenance and governance — with a doctoral consortium, six workshops, and every session streamed. Papers are reviewed double-anonymously and published open access.
- 3 parallel tracks
- 68 papers from 314 submissions
- 46 posters and demos
- 6 workshops and tutorials
- 20 travel bursaries
01 / OVERVIEW
Overview
Claims about model behaviour are cheap. This conference is about the evidence that makes them falsifiable.
ITADA is an academic conference on the methods, measurement and governance of trustworthy artificial intelligence and data analytics. The 2027 edition asks how model behaviour can be substantiated — through causal analysis, auditing under partial access, provenance and documentation, and evaluation that survives deployment.
The programme is built for doctoral researchers and early-career academics. Proceedings are published open access under CC BY 4.0 and submitted for indexing in Scopus and DBLP; selected full papers are invited to a special issue of the Journal of Data Governance and Analytics.
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CFP
Call for papers
Three tracks, six categories, double-anonymous review.
Read more about Call for papers → -
PROG
Programme
Three days across three parallel tracks, streamed throughout.
Read more about Programme → -
REG
Registration
Fees, bursaries, waivers and visa letters.
Read more about Registration →
Abstracts close 19 February 2027
Double-anonymous review, three reviews and a track-chair meta-review on every paper.