@geoffarnold It all boils down to how many times you have been exposed to failure. Humans are exposed to human failure very early in life. We grow up assuming humans do mistakes. So it’s tolerated.
Machines are not expected to do mistakes because we are not exposed enough to automation error

What C-level execs care about is applied #AI – if an AI approach solves an old problem more efficiently or a problem that was impossible to solve before. Being able to translate the math into business value and communicate it effectively is as important as understanding the math.

A lot of people I interact with seem to believe that C-level execs and below care anything about the math behind #AI. Nothing could be farther from truth.
Also, it happens that a lot of pros that understand the math behind AI are not great at talking with C-level execs.

@doppenhe I hope we’ll have time to shake hands

If this #AI algorithm works consistently, it could be used to denoise night shots until camera technology improves > @Nvidia uses AI to clean up messy photos https://t.co/DhGdJ9tz8Z

Post-reality. Courtesy of #AI. https://t.co/QrMpFDm9a6

Post-reality. Look at the interactive demo of their #AI model to manipulate attributes of human face in the website. Impressive. > Glow by @OpenAI: https://t.co/8gIPH5ydqW

RT @hplus: There is an increasing ‘lifestyle use’ of cognitive-enhancing drugs by healthy people https://t.co/L2dUj1wUbZ #Biohacking

RT @EricTopol: 1984 in 2018
https://t.co/4yyqJXjVEc by @paulmozur, A1 @nytimes https://t.co/jmKS2yDwnV

@zeynep Zeynep writing a @blackmirror episode? I would love to see that.