MASTER THE BASICS OF ETHICAL AI IN WEEKS, NOT YEARS.

Build a Human-first AI future in your organization as a certified AI Equity Architect™. In 5 weeks, learn the critical skills needed to lead ethical AI implementation, protect against algorithmic bias, and architect inclusive technological transformation. There's a reason the Academy to Innovate HR placed us in the top ten people-focused learning providers. Join us and find out.

KEY DETAILS

If you're an HR leader, DEI consultant, or organizational strategist who needs to lead equitable AI without a tech background, this 5-week live certification program is perfect for you.

  • Program runs March 3 - April 6, 2025

  • Live sessions each Wednesday 12:30 - 2pm EST | 9:30 - 11am PST

  • Weekly discussion boards, pulse quizzes and real-world case study scenarios.

  • Submit a Responsible AI Action Plan to earn certification.

  • One time fee: $1500 | Lifetime Access

Course Curriculum

  • Module 1: Foundations of AI Ethics

    This foundational module explores the critical intersection of artificial intelligence, workplace ethics, and equity. Through a combination of theoretical frameworks and practical case studies, participants will develop a comprehensive understanding of how AI systems impact organizational dynamics and learn to implement ethical considerations in AI-driven workplace decisions.

  • Module 2: Strategic Culture Transformation

    In this pivotal module, participants will explore how organizations can successfully navigate the cultural dimensions of AI integration. The focus is on building a resilient, inclusive, and psychologically safe workplace environment that embraces AI innovation while maintaining human-centered values.

  • Module 3: Technical Frameworks

    This module provides a comprehensive exploration of the technical and regulatory aspects of AI governance. Participants will develop practical skills in evaluating AI systems, and managing vendor relationships while maintaining robust governance frameworks.

  • Module 4: Leadership Strategies

    This module focuses on developing effective leadership strategies for responsible AI implementation. Participants will learn to build and manage diverse teams, engage stakeholders effectively, and measure the success of AI initiatives while maintaining ethical considerations throughout the implementation process.By the end of this module, participants will be able to design and execute comprehensive stakeholder engagement plans.

  • Module 5: Final Capstone

    This culminating module brings together all course concepts into actionable implementation plans. Participants will synthesize their learning into comprehensive strategies while developing skills to effectively deliver their AI equity initiatives.

Your Learning Team

Jordan Loewen-Colón, PhD

Lead Facilitator

Jordan Loewen-Colón, PhD is a leading ethics consultant in the field of Responsible AI. He is currently Professor of AI Ethics and Policy at Queen's University's Smith School of Business. Previously, Jordan was the AI, Ethics, and Data Justice Fellow at the Centre for Health Innovation at Queen’s University, CEO of the digital therapeutics startup Supernova Immersives, while teaching and lecturing at Syracuse University. Jordan has degrees from Syracuse University, Princeton Seminary, and The Ohio State University.

Jade Singleton, Ed.D.

Lead Facilitator

Strategic digital transformation and organizational culture expert. Former senior consultant at NASA. Led digital transformation change adoption strategies at both Freddie Mac and Fannie Mae. Equity & Inclusion facilitator for Amazon, Uber and others. Recipient of the Federal Government Achievement Award for consulting expertise.

Amie Breeze Harper, PhD

Learning Experience Guide

Dr. Amie Breeze Harper is leading culture consultant and expert in educational technologies. She has an MA in Educational/Instructional Technology from Harvard University (Summa Cum Laude) and earned her PhD in Cultural Geography from the University of California, Davis (Summa Cum Laude), studying food systems and ethics. Her research bridges technology ethics with cultural analysis through multiple disciplinary lenses.