Responsible AI Professional Certification

Lead with ethics in an AI-first world. ⚠️ Limited to 30 participants | Two days in-person | Early bird pricing ends October 1st Two days in Vancouver, leading up to the Futureproof Festival AI is already inside your organization. The decisions about how to use it responsibly are landing on your shoulders. You'll leave with a map of the AI already running in your organization, a method for assessing any system for bias, privacy and ownership, clear criteria for deciding what to deploy and what to refuse, and a governance position in your own words that you could hand to a board. You leave certified. We finish Wednesday at 4:30, a few hours before Futureproof Festival opens. What Participants Say “I came in having already studied AI, but I was looking for something deeper on the ethics side, and this course gave me exactly that.” - Brittney Ashley, Founder, Creative Dynamics “Viewing AI with this new lens has made me think hard about the ethics surrounding AI usage, and how I now look at developing tools.” - Bruce Ratzlaff, Sales & Operations Leader “RAP gives you a zoomable drone's-eye view of the entire AI ethics and governance landscape.” - Daniel Bashaw, Learning-experience Designer “Great theory, but more importantly, tools I can use immediately: a Personal AI Inventory, an Ethics Assessment, a Deployment Checklist.” - Jacquie Harder, Arc Nova Consulting RAP Certification for AI Professionals & Practitioners RAP (Responsible AI Professional) is a two-day in-person certification for leaders, executives and practitioners who need to understand, implement and govern responsible AI practices. You'll work through real scenarios. Apply global frameworks (UNESCO, OECD, NIST, IEEE). Build 4 artifacts you'll use in your work, and walk out with a Personal AI Governance Statement you wrote yourself. This is a practical training. You'll build practices you can implement in your work right away. Meet Your Instructors Sarah Downey****: Instructor - AI consultant and strategist based in Victoria with 20+ years in nonprofit and social impact leadership. Hosts facilitated conversations for nonprofit leaders on ethical AI governance. Course creator focused on helping mission-driven organizations adopt AI responsibly with her ethos: Stay Curious. Stay Connected. Stay Human. Brings nonprofit sector expertise, facilitation skills, and values-centered approach to AI governance. BC + AI Founding Member #138. Martin Lopatka****: Curriculum Developer - PhD in Forensic Statistics, M.Sc. in AI. Mozilla alumni with production ML systems experience. Expertise in responsible AI assessment frameworks, model governance, regulatory alignment. Voluntary contribution to curriculum design. BC + AI Founding Member #31. Kris Krug****: Program Lead - Kris Krüg is a digital strategist and community builder specializing in the intersection of artificial intelligence, creativity, and technology. Based in Vancouver, British Columbia, Kris leads AI-focused initiatives that bridge technical innovation with practical applications across various industries. Responsible AI Professional Certification Commitment Timeline Your commitment 9:00 AM to 4:30 PM on Tuesday October 27 and Wednesday October 28, at 1000 Parker St in Vancouver. An hour for lunch. About 2 weeks out we'll send a pre-work package: Mandatory readings plus one reflection prompt to get you started. Budget 2-3 hours for it. There's also a quick pre-registration survey we will send out. Roughly 16 hours of focused effort all in. Syllabus Day 1: Foundations and core ethics Module 1: Foundations. Understanding AI and its limits How AI systems actually work The confidence-accuracy gap: why AI sounds right when it's wrong Hallucinations and confabulation: when inaccuracy is annoying, and when it's dangerous Global ethics frameworks: UNESCO, OECD, NIST, IEEE Artifact: Personal AI Inventory. Your systems, and the accuracy risks sitting in them. Module 2: Core ethics. Bias, privacy and ownership Bias and prediction: spotting algorithmic bias, understanding fairness definitions Privacy: data collection, consent, the surveillance economy Copyright and creative work: who owns AI inputs and outputs Artifact: Ethics Assessment, worked from a real case study in table groups. Day 2: Societal impact and the human element Module 3: Societal impact. Deployment, labor and environment Deployment ethics: when is AI ready, and when should it never be used Labor and work: displacement, augmentation, worker surveillance Environmental impact: the carbon cost of computation Artifact: Deployment Checklist, readiness criteria for a system you use. Module 4: The human element. Authenticity, relationships and meaning Authenticity: deepfakes, synthetic media, trust erosion Social life: human-AI relationships, parasocial dynamics, vulnerable populations The human spirit: creativity, agency, meaning in an AI age Capstone: Personal AI Governance Statement Where you stand, what you'll commit to, and one decision you'll make differently when you're back at your desk. You're in the right place if you: Lead AI initiatives: You're overseeing AI deployments and need governance frameworks that actually work, not just policy documents that sit in a drawer. Budget for your own development: You're an executive or senior professional who invests in capability building. You're not waiting for your employer to figure out what training matters. Are in career transition: You have severance funds earmarked for upskilling, or you're pivoting into AI governance, or you're differentiating yourself as an AI practitioner who understands ethics. Want to build a practice, not just get a credential: You're not here to add a line to your resume. You're here to walk away with frameworks, artifacts, and a custom AI assistant that helps you apply what you've learned. What You'll Walk Away With 1. RAP Certification: Completion of all assessments, practical exercises, and final capstone. Globally applicable, grounded in multip