What You’ll Learn: Ethics by Design
Turn responsibility into a product superpower—designing AI that is not just powerful, but *worthy of trust*.
Regulatory Alignment
Map product features to EU AI Act risk tiers, NIST AI RMF functions, and OECD principles.
Human-Centric Interaction
Design for agency: consent flows, contestability, graceful degradation, and user control.
Fairness-Aware UX
Embed fairness in interfaces: bias alerts, counterfactual explanations, and equity dashboards.
Algorithmic Impact Assessments
Conduct lightweight AIAs for startups and enterprise-scale audits for regulated domains.
Who Should Enroll?
For builders who believe great AI products must be *both* intelligent and *integrity-driven*.
- AI/ML product managers & startup founders
- UX/UI designers working on AI interfaces
- Ethics, risk, and compliance officers
- Engineering leads building high-stakes AI (health, finance, HR)
- Policy technologists & public interest designers
Responsible Product Projects
AI Hiring Tool Redesign
Audit an existing tool for bias; redesign UI/UX with fairness controls, explainability, and appeal paths.
Health Triage Assistant AIA
Conduct a full Algorithmic Impact Assessment for a symptom-checker—including harm mapping and mitigation plan.
🧠 Human-Centric
Contestable Credit Scoring Interface
Design a loan denial flow where users can explore “what-if” scenarios and submit human review requests.
3-Week Responsible Design Syllabus
~28 hours • EU AI Act/NIST RMF mapping tools • Figma ethics plugin • Real product teardowns • 1:1 mentor
Week 1: Foundations & Regulatory Mapping
- From principles to practice: OECD, Montreal, Toronto declarations → product requirements
- EU AI Act deep-dive: risk tiers, prohibited practices, high-risk obligations
- NIST AI RMF & ISO/IEC 24027: operationalizing governance
- Lab: Classify 10 real AI products by risk tier and required controls
Week 2: Human-Centric Design & Fairness UX
- Design patterns for agency: informed consent, opt-out, human-in-the-loop
- Explainability techniques: LIME, SHAP, counterfactuals—and when *not* to explain
- Fairness interfaces: disparity alerts, group-level metrics, equity toggles
- Lab: Redesign a biased recommendation UI using Figma ethics plugin
Week 3: Impact Assessments & Governance
- Algorithmic Impact Assessment (AIA) frameworks: Canadian, NYC, EU templates
- Harm mapping: direct, systemic, long-term risks
- Building responsible AI governance: roles, review cycles, incident response
- Capstone: Present your product’s Responsible AI Charter + AIA summary
NSTC‑Accredited Certificate
Validated credential for IEEE CertifAIEd™ prep, EU AI Act compliance officer roles, and responsible innovation RFPs.
Frequently Asked Questions
No. This course is designed for practitioners, not theorists. You’ll learn actionable frameworks—not philosophy. We translate regulations (EU AI Act, NIST RMF) into product checklists, sprint rituals, and design patterns you can use Monday morning.
Absolutely. Responsible design reduces risk, builds trust, and accelerates adoption—globally. We include lightweight AIA templates for startups and map requirements across EU, US (NIST, FTC), Canada (AIA), and India (MeitY guidelines). Ethical differentiation is a market advantage.
