Jul 16, 2026 · 41 min · 9 segments
**What does it really mean for AI governance to be more than just buzzwords—and how do we build systems that are worthy of our trust?** This week on the Tech Humanist Show, we get candid with…
Rebekah TweedGuest
Kate O'NeillHost
And then most recently I've joined the Algorithmic Justice League, you know, looking at much more deeply into biometric technologies and the just the algorithmic justice space more broadly.

You start out this discussion with a punch at Taylor Swift, which is a bold decision in 2026, just after her wedding took over.

So you actually just started to set up this kind of segue that I wanted to take with you, which is that, you know, people hear responsible AI and they may picture like policy documents or committees or, you know, very serious people saying guardrails a lot, right? But what does responsible AI mean to you in 2026 in actual human terms?

So responsibly, I can take a lot of different forms, but that's where I would put the core.

I think it's about rejecting this idea that our tech future is inevitable and that it's top down, that it's being handed to us and our only job is to just adapt to it.

So I do want to be fair to that narrow definition of responsible AI, because it's not wrong, it is usually referring to a set of principles, you know, you have, you know, civil society articulating these principles, and then, you know, industry practitioners kind of operationalizing it.

And you have things like fairness and transparency and accountability and privacy, and that is real work and that matters.

But I think if you're zeroing in only on that, you're missing the purpose because underneath those principles, what we're actually doing is deciding how to understand and evaluate the way that AI impacts real people.

And responsible AI is kind of what I would say is the name for insisting on that second direction.

And then most recently I've joined the Algorithmic Justice League, you know, looking at much more deeply into biometric technologies and the just the algorithmic justice space more broadly.

You start out this discussion with a punch at Taylor Swift, which is a bold decision in 2026, just after her wedding took over.

So you actually just started to set up this kind of segue that I wanted to take with you, which is that, you know, people hear responsible AI and they may picture like policy documents or committees or, you know, very serious people saying guardrails a lot, right? But what does responsible AI mean to you in 2026 in actual human terms?

So responsibly, I can take a lot of different forms, but that's where I would put the core.

I think it's about rejecting this idea that our tech future is inevitable and that it's top down, that it's being handed to us and our only job is to just adapt to it.

So I do want to be fair to that narrow definition of responsible AI, because it's not wrong, it is usually referring to a set of principles, you know, you have, you know, civil society articulating these principles, and then, you know, industry practitioners kind of operationalizing it.

And you have things like fairness and transparency and accountability and privacy, and that is real work and that matters.

But I think if you're zeroing in only on that, you're missing the purpose because underneath those principles, what we're actually doing is deciding how to understand and evaluate the way that AI impacts real people.

And responsible AI is kind of what I would say is the name for insisting on that second direction.
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