Building a Vertical AI Agent for Research Ethics: Faster Review, Better Protection
Research ethics review protects human subjects while enabling important research. A purpose-built AI agent can accelerate administrative processing while maintaining the rigorous review that protection requires.
The Ethics Review Challenge
Institutional Review Boards (IRBs) face competing pressures:
- Thorough review to protect research participants
- Timely processing so research can proceed
- Documentation requirements that consume time
- Volume that exceeds committee capacity
- Complexity that requires specialized expertise
Researchers experience ethics review as a bottleneck. IRBs experience it as an overwhelming workload. Neither outcome serves the goal of ethical research.
What an Ethics Agent Does
A vertical AI agent for research ethics accelerates administrative aspects while preserving human judgment for ethical determinations.
Submission Support
Before review:
Completeness Checking: Verify submissions include all required elements.
Protocol Guidance: Help researchers develop protocols that address common issues.
Consent Form Assistance: Draft consent language based on protocol elements.
Routing Determination: Suggest appropriate review pathway (exempt, expedited, full board).
Review Support
During review:
Summary Preparation: Generate protocol summaries for reviewer use.
Issue Identification: Flag common concerns for reviewer attention.
Precedent Search: Find how similar protocols have been reviewed.
Reviewer Assignment: Match protocols to appropriate reviewers.
Post-Approval Management
After approval:
Modification Processing: Route modifications to appropriate review level.
Continuing Review Tracking: Monitor approval dates and trigger renewals.
Adverse Event Documentation: Capture and route adverse event reports.
Critical Boundaries
Ethics agents must respect clear boundaries:
Human Judgment
Ethical determinations are made by trained reviewers and IRB members, never by the agent.
Documentation Support
The agent supports documentation; it doesn't determine ethical adequacy.
Escalation
When questions arise, immediate escalation to qualified humans.
Building on the Right Foundation
Research ethics involves sensitive research information. The platform must ensure complete data sovereignty and appropriate access controls.
The Opportunity
Ethics review can be both thorough and timely. AI agents can accelerate administrative processing while ensuring human judgment on ethical mattersâwhen built with clear boundaries and appropriate controls.
Universities exploring ethics AI should prioritize platforms that offer complete data control, clear human oversight, and implementation partnerships that understand IRB requirements. The goal is better protection through better processânot automation of ethical judgment.
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