Career studio / Responsible AI
Build evidence for the Responsible AI Analyst role
A company proposes using an assistant to summarize staff training feedback. The review must address data minimization, incorrect summaries, accessibility and accountable human decisions.
Your outcome: AI use-case assessment, risk register and evaluation requirements.
Start with the right expectations
Who this is for
Experience describing a business process and interpreting basic evaluation results.
This path develops a demonstrable work sample for the named role. It does not replace employer-specific experience, professional qualifications or supervised practice.
Plan your study time
Use a flexible six-week project schedule: one week for each of the first four stages and two weeks for the portfolio and review. Allow roughly 3–5 hours per week for the case work, in addition to course study. This is a planning suggestion, not a measured course duration or a promise of job readiness.
Read the course access notes before starting. Free viewing or reading does not automatically include certificates, graded assessments, software licences or paid cloud resources. Core case work can be documented with a free editor and spreadsheet; optional implementation tools may have additional requirements.
Your course sequence
Start in the order below. Use the course outline to select the sections relevant to the stage tasks, and complete foundation exercises before moving on. Full provider courses can be substantially longer than this project schedule. These are course resources, not a claimed count of individual lessons.
Resource 01 / IBM
Free Responsible AI Course: Ethics, Risk and Governance
Purpose: Build the foundations. Connect your notes to the case tasks below rather than only collecting completion marks.
Access: Free Video
Certificate: Free video viewing; IBM certification is not included
Resource 02 / IBM
Free Data Governance Course: AI Data and Model Controls
Purpose: Develop the role-specific method. Connect your notes to the case tasks below rather than only collecting completion marks.
Access: Free Video
Certificate: Free video viewing; IBM certification is not included
Resource 03 / Microsoft
Free Responsible AI Course: Image and Text Model Review
Purpose: Strengthen practical application. Connect your notes to the case tasks below rather than only collecting completion marks.
Access: Free Video
Certificate: Free video viewing; Microsoft certification is not included
Learn, make, check
Keep a decision log as you work. For each stage, capture the assumption, your work product, a check and the change you made after that check. The acceptance criterion is the stopping condition for the stage.
Stage 1 / suggested project week 1
Document the use case
Understand: A review starts with purpose, affected people and decision authority.
Make: Write the intended use, prohibited uses, data flow and human review point.
Check before moving on: Do not describe a general-purpose model as approved for every use.
Study companion: Free Responsible AI Course: Ethics, Risk and Governance. Use its relevant lessons and examples; the independent WikiFree task is not a provider assessment.
Save as evidence: a dated work product and a short note explaining one choice, one alternative and one remaining uncertainty.
Stage 2 / suggested project week 2
Map evidence and risk
Understand: Risk labels are useful only when connected to a mechanism.
Make: Record six failure scenarios, affected groups and existing controls.
Check before moving on: Distinguish observed evidence from assumptions needing investigation.
Study companion: Free Data Governance Course: AI Data and Model Controls. Use its relevant lessons and examples; the independent WikiFree task is not a provider assessment.
Save as evidence: a dated work product and a short note explaining one choice, one alternative and one remaining uncertainty.
Stage 3 / suggested project week 3
Design evaluation
Understand: A responsible review includes task quality and harmful failure modes.
Make: Create tests for omitted criticism, invented facts, sensitive details and inaccessible output.
Check before moving on: Use synthetic feedback rather than real personnel records.
Study companion: Free Responsible AI Course: Image and Text Model Review. Use its relevant lessons and examples; the independent WikiFree task is not a provider assessment.
Save as evidence: a dated work product and a short note explaining one choice, one alternative and one remaining uncertainty.
Stage 4 / suggested project week 4
Recommend conditions
Understand: Governance should state who owns the decision and follow-up.
Make: Write a conditional recommendation with stop criteria and a review owner.
Check before moving on: Do not present the exercise as a legal compliance certification.
Study companion: Free Responsible AI Course: Image and Text Model Review. Use its relevant lessons and examples; the independent WikiFree task is not a provider assessment.
Save as evidence: a dated work product and a short note explaining one choice, one alternative and one remaining uncertainty.
Stage 5 / suggested project weeks 5–6
Present your portfolio
Assemble the four work products into AI use-case assessment, risk register and evaluation requirements. Write a README explaining the problem, your assumptions, the decisions you made, tests actually performed and what remains incomplete.
Give a five-minute walkthrough: one minute for the problem, two for the work and evidence, one for trade-offs and one for the next improvement. If you have not implemented a proposed system, label it a design or prototype rather than a deployed solution.
Acceptance: a reviewer can locate each work product, reproduce the key reasoning and identify the limits without a private explanation from you.
The portfolio brief
A company proposes using an assistant to summarize staff training feedback. The review must address data minimization, incorrect summaries, accessibility and accountable human decisions.
Deliver: AI use-case assessment, risk register and evaluation requirements.
| feedback id | synthetic feedback |
|---|---|
| F 1 | Examples were useful but the pace was too fast |
| F 2 | Captions were missing in two sessions |
| F 3 | The practice task helped me apply the method |
Use these small inputs to make the reasoning visible. They are not a representative dataset, a real client engagement or evidence of production performance. Where the brief requires additional sample records, create them yourself, label them synthetic and explain why you added them.
The ZIP includes the case CSV, four stage worksheets, course sequence, decision log, test log, portfolio README template, review rubric and reference reasoning. It is a starter kit for your work, not a completed application, professional report or proprietary project file.
Check your reasoning
An assistant omits all negative comments while retaining positive ones. What must the review address?
Write your answer and assumptions before opening the reference.
Read the reference reasoning
The summary is materially unrepresentative. Evaluate coverage and sentiment-related omissions against source evidence, improve review controls and avoid claiming the summary reflects all staff views.
Portfolio review rubric
| Criterion | Points | Evidence required |
|---|---|---|
| Problem and scope | 4 | A clear user, need, boundary and assumptions |
| Role-specific work | 8 | 2 points for each of the four stage acceptance checks |
| Reasoning and validation | 4 | Independent checks, actual results and uncertainty |
| Communication and reproducibility | 4 | A usable README, source links and reviewable work products |
Aim for at least 16/20 as a self-review target, with no missing stage acceptance check. This is a WikiFree practice rubric, not an industry credential or a hiring assessment.
Interview practice
Which residual risk would you accept only with a named human owner?
Answer using the case: context, your action, evidence and limitation. Describe this honestly as a self-directed project. Do not present fictional organizations, invented interviews or practice results as paid work experience.
Your progress
Use this checklist as a personal study aid. Progress is stored in this browser when local storage is available; it is not an account record or a certificate.
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Questions before you start
Will this path qualify me for a job?
It helps you study relevant foundations and produce a work sample. Employers may require additional skills, qualifications and experience. Review actual role requirements before applying; no job or certification is guaranteed.
Are all tools and certificates free?
The linked learning routes were selected for free viewing or reading. Follow the separate access and certificate notes on each course. Paid tools and cloud deployment are optional; document a local design when implementation resources are unavailable.
Can I follow this on a phone?
You can read the path and many learning resources on a phone. Coding, detailed spreadsheet work, design tools and mobile-app development are easier or require a suitable computer. The page is designed to reflow; that is not a claim that every physical device has been tested.
Questions & discussion
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