Artificial Intelligence

September 25, 2026

Your AI Training Program Is Teaching The Wrong Skill

Most corporate AI training teaches tool fluency: how to write a prompt, speed up a workflow. It rarely teaches judgment: knowing when to trust AI output, when to check it, and when not to use it at all. That gap, not tool access, is the skills gap the WEF's 2025 report is actually describing.

by Unzila Naeem

September 24, 2026

How AI Can Help Students Improve Grades Without Replacing Independent Thinking

Generative AI can provide immediate feedback, explain difficult concepts, and help students organize complex research projects. However, it can also weaken learning when used as an answer generator. The practical LEARNT model helps educators and eLearning designers use AI to support stronger assignments.

by MUHAMMAD ASIF RAZA MIR SHAH

September 17, 2026

How L&D Professionals Learn About AI: What 500+ Industry Respondents Revealed

Learn how L&D professionals learn about AI with insights from 500+ industry respondents. Explore AI education trends, adoption challenges, and best practices.

by Christopher Pappas

September 17, 2026

AI-Based eLearning Platform: The Complete Guide For 2026

Artificial Intelligence is changing how organizations create, deliver, and measure digital learning. From personalized learning paths and AI tutors to adaptive assessments and skills analytics, AI is moving eLearning beyond static course delivery.

by Anna P

September 16, 2026

We Built AI That Can Lie To Itself In Space And Time

Training and development pros should be worried...

by Lokelani Aipa, BSN, RN

September 15, 2026

Building An AI Governance Policy For L&D: Data, Ethics, IP, And Quality

Most L&D teams scaled Gen AI before writing the rules, and that order is backwards. This article lays out a practical, one-page governance policy across five areas: data, IP, bias, review, and disclosure, aligned to ISO 42001, NIST, and the EU AI Act.

by Feroz Shaikh

September 11, 2026

Shadow AI: Why Unapproved Tool Use Is The Most Honest Needs Analysis L&D Will Ever Get

Most employees already use AI tools their company never approved, and almost none of them have been trained for it. Instead of treating shadow AI as misconduct, L&D teams can read it as needs analysis data and build training from what people are already doing in the dark.

by Boris Dzhingarov

September 10, 2026

AI Adoption In Learning And Development: Why Organizations Are Still Behind Vendors

Discover why AI adoption in Learning and Development lags behind expectations, explore key barriers, and learn practical strategies to close the gap.

by Christopher Pappas

September 10, 2026

Your AI Is Only As Trustworthy As The Knowledge Base Behind It

AI can only be as trustworthy as the knowledge base behind it. Learn why "AI-ready" content is the wrong goal, and how trust classification, lifecycle status, and clear ownership creates the governance layer enterprises need before scaling AI-powered knowledge tools.

by Greg Blackburn

September 9, 2026

Before You Click Submit: Why AI Users Need To Pause

AI generates polished outputs in seconds, creating momentum that can make it tempting to move quickly toward completion. This article explores the value of pausing before taking ownership of AI-assisted work to consider whether it is truly ready to submit, publish, share, or use.

by Athena Stanley

September 9, 2026 | Sponsored

From Disconnected AI Tools To Integrated Authoring With A Single Platform

In 2026, the direction of AI-powered authoring is becoming clearer: shifting from automating isolated tasks to building a more connected production workflow. In this article, we explore what that looks like in practice, using the latest iSpring Suite AI upgrade as an example.

by Christine Quinn

September 8, 2026 | Sponsored

The Real AI Divide Isn't Adoption. It's Learning Velocity.

Nearly every organization now uses AI, so adoption no longer tells companies apart. What will is whether a company can turn new AI capability into changed practice faster than the technology arrives, which makes learning infrastructure, not model selection, the real strategic variable.

by CYPHER Learning