01
Model representative AI-assisted decision workflows across several organizational contexts.
Research projects
Ongoing Research Project
AI Governance, Law & Business Technology
Responsible Automation Observatory: AI Decisions, Governance, and Operational Control
An interdisciplinary project studying how organizations can document, review, and govern automated decisions without reducing AI governance to policy checklists.
Project File
- Lead
- Interdisciplinary research group
- Period
- 2026 — ongoing
- Status
- Ongoing
- Colleges
- College of Artificial Intelligence · College of Law Tech · College of Business Tech
Research Question
The question organizing the work.
What operational evidence should an organization retain when AI systems influence decisions, recommendations, prioritization, or access to services?
Context
Why this problem is worth examining.
AI governance frequently separates legal requirements, technical evaluation, and business operations into different conversations. Real systems rarely respect those boundaries.
The Observatory treats governance as an operational design problem: who can change a model or workflow, what is logged, how exceptions are reviewed, when humans intervene, and what evidence survives after a decision is made.
Methodology
How the question becomes testable work.
The methodology is designed to leave behind evidence and reusable artifacts—not only a conclusion.
02
Map technical controls, decision ownership, legal considerations, and evidence requirements in a single operating model.
03
Prototype lightweight governance artifacts such as decision records, escalation paths, model-change logs, and review checkpoints.
04
Evaluate where governance controls create useful accountability versus administrative noise.
Research Outputs
What the project is designed to leave behind.
Governance operating model
Decision-record template
Control map
Research brief
Next Steps
Where the investigation goes next.
01
Extend the model to agentic workflows with delegated actions.
02
Develop sector-specific scenarios for education and small organizations.
03
Publish a compact governance toolkit after further validation.
Cross-College Research
The problem determines the boundaries—not the org chart.
This project sits across College of Artificial Intelligence and College of Law Tech and College of Business Tech. That cross-college structure is intentional: emerging technology problems frequently combine technical, organizational, legal, and human dimensions.
Keywords
AI GovernanceLaw TechAutomationAccountability
Research Projects