AI Should Expand Young Career Possibilities—Not Choose Their Future
AI can help young people explore careers, recognize their capabilities, and prepare for meaningful opportunities—but it should never attempt to decide their future. Ethical career guidance must preserve agency, privacy, explainability, human support, and the freedom to change.
Balancing the Promise and Peril of AI-Generated Personal Statements with UTPs.
AI can help people reflect, write, translate, and communicate—but it should never manufacture the life behind the words. Explore how truth, evidence, voice, provenance, and individual review can keep AI-supported personal statements authentic.
Universal Talent Passports and the Future of Talent Management
A partnership model for talent management that gives people continuity, organizations relevant context, and both sides clearer boundaries and reasons to participate.
Why Reflection Turns Experience Into Intelligence You Can Use
Experience does not automatically become learning. A regular reflective dialogue can help you recognize patterns, preserve evidence, understand your capabilities, and turn what happens each week into intelligence you can use.
LER Adoption Will Be Won or Lost in the User Experience
LER infrastructure will not reach its potential unless people receive enough value to participate. Explore why person-facing applications, organizational workflows, trust, and user experience must evolve together.
Why Enterprises Need Learning and Employment Records—and Why Records Alone Are Not Enough
Learning and Employment Records can give enterprises more trusted, portable talent data—but records alone cannot explain how people, work, and capabilities are changing. Learn how LERs support a broader Human Intelligence Layer.
Beyond Course Completion: How STAMP Could Make Learning Management Data More Useful
Learning Management Systems can track course completion, but they rarely show how learning becomes demonstrated capability. Explore how STAMP could connect learning activities, outcomes, evidence, skills, and real-world application.
The LER Ecosystem: Building Human-Centered Infrastructure for Learning, Work, and Opportunity
The LER ecosystem brings together people, institutions, standards, credentials, technology, and policy to make learning and employment information trusted and portable. Explore what each layer contributes—and why the ecosystem must remain centered on the people it represents.
Envisioning the Future of LERs: Bridging the Gap for Workers in 2024
Originally published September 20, 2023. Updated to reflect the continued development of Learning and Employment Records, TalentPass, and…
Why You Should Own and Control Your Talent Data
Your work, learning, credentials, evidence, and growth are scattered across systems built for other organizations. TalentPass gives you a private, portable source of truth you can meaningfully control—while preserving the authority, provenance, privacy, and responsibility surrounding the records it connects.
