
Diagram: Bias in Machine Learning
Understand the stages of machine learning where bias can, and often will, contribute to harm.
I speak and teach on the topic of digital ethics, and help my clients realise the value of good-hearted tech in all endeavors. I apply a human rights perspective to the field of human-computer interaction, showing how it's possible to build tech that promotes wellbeing, or resist when it doesn't.
Understand the stages of machine learning where bias can, and often will, contribute to harm.
When humans adapt to technology they add obstacles to access content.
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...
When we can no longer control where our face appears, what happens to our perception of identity?
Computations will “estimate” your aim, tend to miss the nail and push for a different design. Often unnoticeably.
Let's talk about harm caused by humans implementing AI.
Improve the design of AI tools for ease-of-use and trustworthiness.
Free list of links to most of the stuff I read.
Alice asked the CheshireChat, that was sitting in a PC in tree, “What road do I take?” The Chat asked, “Where do you want to go?” “I don’t know,” Alice answered. “Then,” said the Chat, “it really doesn’t matter, does it?" As we engage with our curious...