Human bias is often framed as a negative in research and analysis, something that AI can help eliminate. But should we see bias as something to be vilified? As an insight profession we can remain objective in the face of our client’s business objectives, but still seek to embrace ‘good’ bias that helps them make better decisions, whilst still minimising ‘bad’ bias.
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The discover.ai team have just got back from a great couple of days in Amsterdam at the IIeX Europe conference. It’s a little different from other market research industry conferences and focused at the most innovative/tech end of the sector, show-casing some interesting new start-ups and research approaches.
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“We thought that as our tornado forecasting got better, we would save more lives. We didn’t. We knew more than ever about tornadoes, but nothing about how the American people responded to tornado warnings.”
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The nice thing about working at an AI company is that sometimes we get to see cool tech-related stuff that is only tangentially related to my day-to-day. It’s even better when this turns out to be stuff that legitimises my degree in English Literature – not exactly famous for being the most vocational of subjects to study.
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One of the great things about working for an AI start-up is that it’s always a solid conversation starter at parties. Everyone has some idea of how AI is revolutionising their industry; everyone has some idea of what they think it actually does.
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