Assignment 4 Instructions

Assessment: Assignment 4
Title: Discipline-Specific AI Application Analysis
Weight: 15%
Primary module: Module 4
Relevant units: Units 10–13
Core lens: Disciplinary application
Target length: 2,800–3,500 words
Submission: End of Module 4

Your task

Prepare an evidence-supported analysis of one generative AI application in a selected discipline or professional practice area. Evaluate whether, where, and under what conditions the application should be used. The analysis must connect disciplinary requirements to the complete workflow and preserve accountable human judgment.

Use-case selection

Suitable

One specific disciplinary task or workflow
Identifiable standards, sources, methods, and reviewers
A bounded and low-risk analysis using public, synthetic, supplied, or authorized information
Realistic AI and non-AI alternatives
Clear criteria for quality, usefulness, and acceptability

Unsuitable

Broad claims about an entire profession
Live consequential decisions or professional services
Confidential, identifying, privileged, or culturally governed records
Tasks requiring authority or qualifications you do not possess
Cases without adequate authoritative evidence

Required deliverables

Assignment 4 report components
Section	Required content
Executive summary	Use case, principal findings, recommendation, conditions, and residual risk
Discipline and use-case brief	Purpose, outcome, setting, audience, standards, authority, information, assumptions, and exclusions
Current workflow and alternatives	Existing process, pain points, human-led and conventional alternatives, AI-supported option, criteria, and trade-offs
Proposed workflow and responsibility	Inputs, sources, stages, outputs, review gates, AI role, human-only work, PARTNER roles, escalation, and stopping
Evidence and disciplinary framework analysis	Claims, source quality, method, validation, uncertainty, and application of relevant frameworks such as TRACE, CLAIM, LEARN, RIGOUR, VOICE, WORKS, or LIFE
Responsible-practice analysis	Accessibility, inclusion, privacy, security, permission, authorship, attribution, integrity, and disclosure
Safeguards and recommendation	Controls, qualified reviewers, acceptance criteria, correction, fallback, limitations, residual risk, and qualified conclusion
Disclosure and references	AI-use record and verified references

Required method

Define evaluation criteria before judging alternatives or outputs.
Use the selected field's standards, methods, language, and authoritative evidence.
Separate facts, claims, assumptions, unknowns, and proposals.
Identify affected users and non-users, including differential access and burdens.
Explain what qualified expertise is required and where human authority remains final.
Verify consequential claims and document corrections and unresolved uncertainty.

Framework selection

Research and claims

TRACE, CLAIM, and RIGOUR

Learning and communication

LEARN and VOICE

Work and personal practice

WORKS and LIFE

Select only material frameworks, explain the selection, and apply the exact course definitions. PCAFE-V, SCOPE, PARTNER, FAIRER, PROTECT, and CREATE may be used as supporting frameworks where relevant.

Length and format

Target length: 2,800–3,500 words. Title page, references, captions, approved appendices, and AI-use disclosure are excluded. Submit one DOCX or accessible PDF unless Moodle states otherwise.

Use semantic headings, page numbers, labelled tables, and consistent citations.
Provide text alternatives for workflow or responsibility diagrams.
Name the file LastName_FirstName_COMP327_Assignment4.

Evidence, authorship, and boundaries

Use peer-reviewed scholarship, professional standards, official policies, and authoritative documentation.
Evaluate source authority, currency, jurisdiction, scope, independence, method, and relevance.
Verify generated references and vendor claims against original sources.
You must author the analysis, interpretation, and recommendation.
Do not fabricate evidence, validation, professional review, consultation, or approvals.
Do not upload protected information or use AI to perform consequential actions.
Disclose the system, purpose, prompts, information, outputs, verification, corrections, human decisions, and material incorporated.

Assignment resources

Official Moodle due date and time: ____________________

Overview Rubric Submission