AI will likely become the most important technology of our era as it’s improved upon over time, but we’re still in the early stages of deployment, CIO Journal Columnist Irving Wladawsky-Berger writes. History shows that even after technologies start crossing over into mainstream markets, it takes considerable time for the new tech to be widely embraced across the economy.
Source: wsj.com
This is an example of what’s called an adversarial image: an image specifically designed to fool neural networks into making an incorrect determination about what they’re looking at. Researchers at Google Brain decided to try and figure out whether the same techniques that fool artificial neural networks can also fool the biological neural networks inside of our heads, by developing adversarial images capable of making both computers and humans think that they’re looking at something they aren’t.
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Cue the sad tuba and attorney jokes: Machines just landed the hurt on lawyers. LawGeex, an Israel-based startup focused on automating contract reviews, released a study showing its AI software pummels lawyers in document review accuracy. The AI service outperformed 20 corporate lawyers at identifying legal risks in nondisclosure agreement contracts.
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Waze famously disrupted GPS navigation by crowdsourcing user data from mobile phones, instead of purchasing costly sensors tied to city infrastructure, as Nokia had done before them. Waze then scaled with low overhead costs by using machine learning algorithms to find precise traffic patterns that optimized each user’s route. The end result of this dynamic was massive layoffs at Nokia, and Google’s acquisition of / integration with Waze in 2013.
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