7/8/25

11 bookmarks
Custom sorting
AI Co. Anthropic Nabs Partial Fair Use Win in Copyright Case
AI Co. Anthropic Nabs Partial Fair Use Win in Copyright Case
The headlines about this case will miss a lot of the nuances; it's not a complete win for Anthropic, but it is an important one. The ruling found that training AI on legally obtained copyrighted books is fair use because it's "quintessentially transformative." That doesn't mean that training on pirated books is fair use, and nothing in this ruling explicitly addresses content publicly available online. The output of AI is also an unresolved question; I predict we'll have some rulings that generating text or images that too closely matches existing copyrighted works is not protected. AI tools (especially image generation tools) need guardrails to prevent the generation of copyrighted content.
·thefashionlaw.com·
AI Co. Anthropic Nabs Partial Fair Use Win in Copyright Case
ID Atlas
ID Atlas
This is an extensive comparison of the Articulate Suite versus a new competitor, Parta. I haven't tried Parta myself, but it does seem like a tool worth reviewing, especially if you do a lot of development for mobile users. Accessibility is one big drawback with Parta, and I'm not sure it has enough power to do all of the branching and variables features I need. It's good to see what else is available though.
·idatlas.org·
ID Atlas
Bias in AI: Examples and 6 Ways to Fix it in 2025
Bias in AI: Examples and 6 Ways to Fix it in 2025
Examples of bias in AI in image generation, recruiting tools, voice recognition, and other areas. The solutions here focus primarily on adjustments of the AI systems and debiasing strategy rather than on the level of individual prompts to improve representation. If you're looking at your overall strategy for AI, how you address bias has to be part of the plan.
·research.aimultiple.com·
Bias in AI: Examples and 6 Ways to Fix it in 2025
Why AI Video Avatars are NOT the Next Big Thing in L&D
Why AI Video Avatars are NOT the Next Big Thing in L&D
Heidi Kirby digs into the research about AI video avatars (excluding the vendor research). The support really isn't there. I've anecdotally seen lots of complaints about how they sit in the uncanny valley. But even as the video avatars get more realistic, is a talking head video really the best instructional method? Of course not! There wasn't a lot of buzz about talking head videos before AI. Why is there so much buzz now? (Interactive video avatars for scenarios are a separate question and not addressed by this article.)
Despite their increasing use, there's limited evidence that AI-generated avatars significantly improve learning outcomes.
·getusefulstuff.com·
Why AI Video Avatars are NOT the Next Big Thing in L&D
Gender Neutral Name Generator
Gender Neutral Name Generator
While plenty of nonbinary people have names that are traditionally coded as male or female, sometimes more gender neutral names are useful for characters in scenarios.
·thestoryshack.com·
Gender Neutral Name Generator