Professional practice
Apply relevant standards, expertise, accountability, validation, and client or public duties.
COMP 327 / Assignment 6
Assignment 6 · 20% · Weeks 12–13Integrate the course into a discipline-specific Responsible AI Integration Strategy with evidence, accountable workflows, governance, future scenarios, adaptive safeguards, and a final HUMAN review.
Develop a discipline-specific Responsible AI Integration Strategy for one approved, bounded use case. Integrate authoritative evidence, affected people, AI and non-AI alternatives, workflow and responsibility, verification, fairness, accessibility, information protection, rights, governance, monitoring, remedy, future scenarios, adaptive safeguards, and a final HUMAN review.
Apply relevant standards, expertise, accountability, validation, and client or public duties.
Address workflow, procurement, information governance, workforce effects, monitoring, and incidents.
Use an approved topic that draws on more than one discipline or practice context.
Problem, intended outcome, evidence, scope, assumptions, exclusions, and decision question.
Stakeholders, affected non-users, participation, power, rights, duties, and authority.
AI and non-AI options, bounded AI role, human-only work, stages, sources, review gates, and PARTNER responsibilities.
Relevant frameworks, evidence, validation, fairness, accessibility, information, rights, and integrity.
Risk, controls, owners, approval, monitoring, incidents, contestability, correction, redress, remedy, and stopping.
Four scenarios, adaptive safeguards, revalidation triggers, HUMAN review, residual risk, and qualified conclusion.
Complete the tutorials in sequence and use the resulting records to build the final strategy.
Official Moodle due date and time: ____________________