Why Human-Centered AI Starts With the Right Data
Neil C. HughesJuly 21, 202500:01:06

Why Human-Centered AI Starts With the Right Data

In this powerful moment from my conversation with Kate O'Neill, we unpack the invisible chain reaction that shapes every AI system: data → algorithms → AI → autonomous decision-making. Kate explains why today’s dataset becomes tomorrow’s consequences—and why it’s no longer acceptable to treat data as neutral or disposable.

If we don’t consciously design diverse, representative data sets, the AI we build will not reflect the outcomes we actually want. And in an age where we’re handing over more decisions to autonomous systems, that’s a risk we can’t afford to ignore.

Should we be delegating critical choices to systems trained on flawed foundations? What does responsible AI look like when we step back and see the full arc of how it's made? Let us know your thoughts in the comments.
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