Originally published on Forbes.
“Q: How worried do you think we humans should be that machines will take our jobs?
A: It depends what role machine intelligence will play. Machine intelligence in some cases will be useful for solving problems, such as translation. But in other cases, such as in finance or medicine, it will replace people.”
This Q&A is taken from Tom Standage’s description of how he interviewed AI (language model GPT-2) for The Economist The World in 2020. As readers of this column’s annual roundup of AI predictions know, this year’s first installment of 120 AI predictions for 2020 featured my interview of Amazon AI in which Alexa performed slightly better than the previous year.
For the new list of 99 additional predictions, I repeated Standage’s question to Alexa, and got the response “Hmm, I’m not sure.” The following AI movers and shakers are a lot more confident in what the near future of machine intelligence will look like, from robotic process automation (RPA) to human intelligence augmentation (HIA) to natural language processing (NLP).
“In 2020, the spotlight will continue to shine on transparency. But for AI to work the way its intended, it needs good data—garbage in, garbage out. In the next year, businesses will look more closely at what data is available and how they can leverage it in a way that not only benefits business operations, but also prioritizes accountability and addressability across all lines of business”—Jeremy Steinberg, Global Head of Ecosystem, MediaMath