The industry is debating whether AI should be viewed as augmenting or replacing human-centric tasks. But we don’t yet have a framework to discuss the technical and business impacts of that spectrum of decisions.

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The final 5% of AI success

HOW DO WE THINK ABOUT THE INVOLVEMENT OF HUMANS WITH AI SYSTEMS?

What do we think AI systems should be capable of?
What do we think human systems should be capable of?
We know how to quantify error, but do we really know how to quantify error?
Almost every question about AI comes down to augment vs. replace, and yet humans tend to skew towards the replace angle.
We like the thought of humans in the loop, but often don’t want to be bothered to interact with humans
We haven’t yet created a framework to think about the human +/- AI involvement, because we haven’t really created it for general-purpose automation yet either.

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AI and the 95% vs 5% debate

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