Wren’s Reviews > Unmasking AI: My Mission to Protect What Is Human in a World of Machines > Status Update

“The company was asking us to simply trust their word without showing how the system was trained. When it comes to AI systems, trust must be earned and not assumed”

“‘I cannot pay like a tech start-up, but what I can teach you will set you up to go beyond me. Learn from all of us and be better.’”

“AI systems can kill us slowly.”
Which is why we need to be specific about what you mean by AI. Generative AI is different than predictive AI. Etc etc

As someone who also purports that I work in tech to do good, I also have this question about what I am doing good at and who am I doing good for.
“What assumptions about using AI for good are being made by people far removed from the day to day realities of those they aim to help?”

“But when just doing your job can mean someone else’s life chances are at stake, there has to be a higher standard. Doing your job doesn’t excuse harm”

“‘This might seem obvious to you, but you are going to need to draw the connections so people understand what you are talking about.’” Feels like a lesson I need to learn

“We cannot assume that just because something is data driven or processed by an algorithm it is immune to bias”

“The status quo was built with a disregard for consent”

“Stepping beyond a colonial past does not decolonize the mind”

These examples show how bias can be coded in many ways, across ability status and race and more. It’s the idea that systems are so deeply entrenched across multiple lines that improving the lives of one group can improve the lives of many