AI
The concept of "generative" suggests that the tool can produce what it is asked to produce. In a study uncovering how stereotypical global health tropes are embedded in AI image generators, researchers found it challenging to generate images of Black doctors treating white children. They used Midjourney, a
accessibility
"Accessibility has failed as a way to make computers usable for disabled users." Thus begins a newsletter by Jakob Nielsen. And had it not been written by someone a great many people take seriously in the UX industry I likely would just have dismissed it. But seeing how
newsletter
An image of ChatGPT solving a captcha was spread far and wide recently. The most beautiful thing about the image is of course that it hadn't solved the Captcha. This made it a fantastic stepping stone for talking about the many illusions of technological advancement. 💡If anybody knows
AI
There are many checkpoints for the EU AI Act to pass through before it becomes legislation and before the law is applicable for all types of AI tools. While we are getting closer to a final vote in the European Parliament, there is some confusion as to when the law
AI
I made this diagram as an explanatory model for showing the relationships between different actors when it comes to AI development and use. It gives you something to point at when showing for example who finances the systems, who contributes to the systems and who benefits or suffers from them.
AI
I read the executive order on AI from the White House, wrote a summary and used an AI-powered video generator to create the appearance of me presenting it. In accordance with suggestions in the order, the video is clearly labeled. 🗣️Interested in trying out the HeyGen tool? Sign up using
digital ethics
In the one-minute video below I am speaking seven languages. In truth, I can speak two of those. None of the audio is actually me speaking, even if it sounds very much like my voice. And the video? Despite what it looks like, that’s not me moving my mouth.
digital ethics
Understand the stages of machine learning where bias can, and often will, contribute to harm.
digital guidance
When humans adapt to technology they add obstacles to access content.
AI
Some tasks that are being handed over to automation should arguably never have been tasks in the first place. Or should at least be revised regularly. But instead of questioning and reinventing tasks, many will now be automated to run perpetually. And with no human involved, why would someone then
digital exploitation
When we can no longer control where our face appears, what happens to our perception of identity?
tools
Computations will “estimate” your aim, tend to miss the nail and push for a different design. Often unnoticeably.