2026

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User Experience Research Techniques for Instructional Design
User Experience Research Techniques for Instructional Design
Rather than guessing which designs will work better for users (which we do a lot of in L&D), borrow techniques from UX. Connie Malamed summarizes multiple UX research techniques. Note that a lot of UX research can be done pretty cheaply and simply. You don't need hundreds of people to test for many of these. Small scale usability testing with 4-6 people can give you useful results.
#elearning#instructionaldesign#ux
·theelearningcoach.com·
User Experience Research Techniques for Instructional Design
Fairly Trained certified models
Fairly Trained certified models
Fairly Trained is a nonprofit that certifies AI models for using only licensed content for training their AI. The list of certified models mostly includes AI music generation tools currently, but this is an interesting idea for improving transparency around AI training.
#AI#ethics
·fairlytrained.org·
Fairly Trained certified models
Articulate Rise: The Emperor’s Getting Dressed
Articulate Rise: The Emperor’s Getting Dressed
Zainab Fawzul takes a critical look at Articulate Rise. She argues that even though Articulate has been doing some more substantive updates to Rise recently, it's still lacking some highly useful requested features. Multiple external additions have come out to help fill the gaps in Rise's capabilities.
#articulate#Rise#eLearning#tools
·linkedin.com·
Articulate Rise: The Emperor’s Getting Dressed
AI and Branding 2026: Copyright Risks for Content Creators
AI and Branding 2026: Copyright Risks for Content Creators
Harriet Moser generates a lot of fantastic AI images; she's one of the people I follow on LinkedIn for inspiration with her delightful visuals. This blog post on her site is much more serious though. Just because you can put celebrities and brands in your AI images and videos doesn't mean you should. Get an overview of the copyright risks for content creators in this post.
My Recommendation: Invest in properly licensed AI tools and original content creation Maintain human oversight and creative direction Develop distinctive brand identities rather than imitating others Communicate transparently about AI use Respect intellectual property rights as a fundamental ethical standard
#AI#imagegeneration#copyright#ethics
·askharriet.com·
AI and Branding 2026: Copyright Risks for Content Creators
Why is Everyone So Wrong About AI Water Use?
Why is Everyone So Wrong About AI Water Use?
Hank Green explains why it's hard to figure out how much water AI actually uses and why different sources report wildly different results. It depends on how you measure the use (including training). The quick answer is that you should be skeptical of any single number for AI water use that doesn't include the explanation of how they got to that number.
#AI#environment
·youtube.com·
Why is Everyone So Wrong About AI Water Use?
The Shape of AI: Jaggedness, Bottlenecks and Salients
The Shape of AI: Jaggedness, Bottlenecks and Salients
Ethan Mollick describes one of the challenges of working with AI: its capabilities are very jagged. AI can be really good at some tasks but terrible at others, and it's not always easy to predict where it's most useful. When weaknesses that create bottlenecks are identified, AI companies focus development in those areas, Just because something is a weakness now doesn't necessarily mean AI will never be able to do that task.
You can see how AI is indeed superhuman in some areas, but in others it is either far below human level or not overlapping at all. If this is true, then AI will create new opportunities working in complement with human beings, since we both bring different abilities to the table.
The exact abilities of AI are often a mystery, so it is no wonder AI is harder to use than it seems.
A system is only as functional as its worst components. We call these problems bottlenecks. Some bottlenecks are because the AI is stubbornly subhuman at some tasks.
Bottlenecks can create the impression that AI will never be able to do something, when, in reality, progress is held back by a single jagged weakness. When that weakness becomes a reverse salient, and AI labs suddenly fix the problem, the entire system can jump forward.
#AI#research
·oneusefulthing.org·
The Shape of AI: Jaggedness, Bottlenecks and Salients