“Hannah was fantastic!”
Data has an unearned aura of objectivity. Statistics certainly has the power to illuminate, but when collected without care, it can also exclude and discriminate. Our insatiable appetite to turn the world into something that can be counted can force a gap between what matters and what can be measured.
In this talk, with wit and warmth, I want to look at some of the ways that bias has become such a profound modern issue, how it can be amplified, the ways in which it causes genuine harm and what we can do about it. I’ll look carefully at the issue of fairness – how it can be defined and whether it can be achieved. And I’ll build a persuasive picture of why who can and cannot be counted is one of the defining issues of our days.

"A beautifully accessible guide.… One of the best books yet written on data and algorithms."—Times (UK) Shortlisted for the 2018 Royal Society Investment Science Book Prize Shortlisted for the 2018 Baillie Gifford Prize When it comes to artificial intelligence, we either hear of a paradise on earth or of our imminent extinction. It’s time we stand face-to-digital-face with the true powers and limitations of the algorithms that already automate important decisions in healthcare, transportation, crime, and commerce. Hello World is indispensable preparation for the moral quandaries of a world run by code, and with the unfailingly entertaining Hannah Fry as our guide, we’ll be discussing these issues long after the last page is turned.

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