Research Administration Insights
Artificial intelligence can help research offices summarize requirements, route work, draft routine communications, identify patterns, and support knowledge retrieval. The same tools can introduce confidentiality, bias, accuracy, explainability, intellectual-property, security, and accountability risks.
AI in research administration
Lower-risk applications include organizing public guidance, suggesting checklist items, classifying requests, or drafting text that a qualified person reviews. High-consequence decisions about eligibility, compliance, risk, funding, or people require stronger controls and meaningful human authority.
A use case should begin with a defined problem, owner, users, data, output, and failure consequence.
Unpublished manuscripts, proposals, reviewer material, participant information, proprietary data, export-controlled technology, credentials, and sensitive institutional records should not be entered into unapproved tools.
Procurement and security review should examine data retention, training use, access, vendors, subprocessors, location, deletion, and incident response.
Generative systems can produce plausible but incorrect text, citations, policy interpretations, and calculations. Staff should verify source material and preserve a record of consequential review.
Evaluation should include varied users and cases, false positives and negatives, accessibility, bias, drift, and the burden placed on people who challenge an output.
An inventory, risk classification, approved-use rules, training, monitoring, and escalation route can support responsible adoption. People should know when AI materially shapes a service or decision.
Automation should not hide who remains accountable for the final action.
Use this checklist to prepare the conversation, record, or workflow before a deadline or formal review.
Common questions
Any use must follow sponsor, journal, confidentiality, and institutional rules. Unpublished or restricted material should not be exposed to unapproved systems.
No. Reviewers need reliable source access, time, authority, training, and a design that makes errors detectable.
A risk-based approach can distinguish prohibited uses from bounded, approved, and monitored uses.
Sources
These external resources provide additional policy or practice context. The journal’s own published policies govern its workflow.
Related reading
Use these internal routes for a broader topic view or a closely related workflow.
Continue into the connected resource for definitions, context, and practical detail.
Continue into the connected resource for definitions, context, and practical detail.
Continue into the connected resource for definitions, context, and practical detail.
Confirm current sponsor terms, institutional policy, and responsible-office authority before acting on a real project.
