I appreciate your focus on ethics. I’ve been exploring the Data Nutrition Project—tools that help assess bias in datasets. Worth a look!
As AI becomes more embedded in our lives, I’m curious how we can build startups that prioritize ethics, transparency, and inclusion from day one. What frameworks or examples inspire you?
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Ethics in AI is urgent. I think community-led audits could be a game changer—especially when marginalized groups are involved.
This is an interesting thread. I have been thinking about this for some time, but ;the speed that this is moving at, I really need to take it seriously.
My view on this has shifted a bit. I used to feel we should mostly let AI develop organically and deal with problems as they cropped up.
I still think we need lots of room for experimentation, but I now recognise that, because AI works at such scale and can quietly reinforce bias, we do need some shared safeguards from the outset – things like basic safety, non-discrimination and transparency about when AI is being used. Beyond that, I’d rather keep the space open for people and organisations to express their own values and be creative.
I’m still learning, but that’s where my thinking has got to so far.
@19 Great post Mike, I'd tend to agree with your line of thinking 💭. I think because this thing are moving at speed, opinions will shift from one position to the next. My great concern is that we need to be in the conversation. We can't just be watching and worse still complaining on the sidelines. Let's make sure we are in the conversations because when things go wrong, we are the ones often worse affected.
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