
Diagram: Bias in Machine Learning
Understand the stages of machine learning where bias can, and often will, contribute to harm.
A critic of AI hype, I bring an ethics and human rights perspective to the table. My writing and talks on "AI" promote a return to universal wellbeing as a driver of innovation, not the misguided efficiency of a few, and encourages people to question the truthisms of "AI" that mislead and misconstrue. The unsubstantiated promises of "AI" need to reckon with the many harms happening as a result of its deployment.
Understand the stages of machine learning where bias can, and often will, contribute to harm.
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.
By understanding the challenges and opportunities involved when humans communicate with machines, you can anticipate and prevent undesirable behaviors and create more trustworthy systems.
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...
As I recommend podcast episodes related to the AI Hype I add them to a playlist I've created using Listen Notes. You can add this playlist to your podcast player to be notified whenever I add a recommended episode (from any show). And listen right away, without having...