Human Accountability in AI-Assisted Decisions
Accountability standards for AI-influenced decisions
Outcome: Define and enforce human accountability where AI influences material decisions.
Decision governance, validation duties, and escalation triggers.
Implementation Outcome
This course clarifies decision authority boundaries, escalation paths, and documentation required for AI-assisted decisions.
- Human accountability standard and decision checklist
- Decision log template for AI-assisted work
- Escalation triggers and exception workflow
Controls & Evidence
- Designed for records retention, version control, and documented review cadence
- Supports internal control alignment and defensible oversight practices
- Produces an audit-reviewable evidence set suitable for internal audit request workflows
Data handling: No submission of sensitive or proprietary data is required to complete the program.
Risk Exposure
Lack of defensible policies or controls can result in significant, unmitigated enterprise risk exposure. This program addresses the risk areas most relevant to this capability.
- Decisions made on unverified AI output
- No traceability for who approved or relied on outputs
- Inadequate escalation when outputs are suspect
- Accountability gaps across functions and vendors
Deliverables
Accountability Standard
Defines required human review, validation, and sign-off.
Decision Evidence Pack
Decision logs, rationale capture, and verification steps.
Escalation & Exception Workflow
How to route concerns and pause decision use.
Training & Adoption Guide
How to operationalize accountability expectations across roles.
Governance Lifecycle Integration
- Baseline: Establish policy-aligned use patterns and minimum control expectations across affected teams.
- Oversight: Assign accountable owners, decision rights, and escalation paths for AI-assisted activities.
- Monitoring: Define review cadence, metrics, and control checks aligned to operational reality.
- Documentation: Maintain version-controlled artifacts and evidence suitable for records retention and review.
- Audit Review: Enable internal audit and leadership review with traceable controls, decisions, and evidence.
Buyer Questions
Does this require sharing confidential data with the provider?
No. The program is designed for policy, controls, and safe-use practices. Participants can complete the program without submitting sensitive or proprietary data.
Who should attend?
Executives, risk, product owners
What evidence is produced for audit review?
Version-controlled artifacts (policy templates, oversight workbook outputs, and control-aligned documentation) suitable for internal audit requests and governance reviews.
How is it deployed?
On-demand delivery with enterprise licensing options. LMS and SSO integration can be included in rollout scoping.
How are artifacts maintained over time?
Artifacts are designed for version control and periodic review. Organizations can align updates to internal change management and records retention requirements.
Request Enterprise Pricing
For rollout scoping (seat counts, deployment model, LMS/SSO integration, and licensing options), request enterprise pricing and deployment scope.