Awesome, not awesome.

#Awesome

“Mr. Newton-Rex sees AI changing the way we listen [to music], especially if computers understand [songs] well enough to make them respond in real time to a game, or you going for a run. Recorded music’s brilliant, but it’s static. If you’re playing a game, Hans Zimmer isn’t sitting with you composing. I think responsive systems like that will be a big part of the music of the future.” — Ed Newton-Rex, Founder. Learn More on The New York Times >

#Not Awesome

“…As machine learning becomes more powerful, its potential for harm will increase. Consider a [credit-scoring] algorithm programmed to examine and incorporate certain shopping patterns into its decision model. It may reject all loan applicants who shop at a particular chain of grocery stores because it “learned” that shopping at those stores is correlated with a higher risk of default. If those stores are disproportionately located in minority communities, it could have an adverse effect on minority applicants who are otherwise creditworthy.” — White & Case LLP, Lawyers. Learn More on Lexology >

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What we’re reading.

1/ Stanford computer scientists built an algorithm that’s as good as a dermatologist at spotting skin cancer, and they plan to introduce it to smartphones so anyone else can too. Learn More on Stanford News >

2/ Google’s AI ethics board is shrouded in secrecy and leaders in the field are starting to freak out. Learn More on Backchannel >

3/ One of China’s hottest mobile apps uses machine learning to make hyper-personalized content recommendations, and plans on replacing media companies like BuzzFeed and The New York Times. Learn More on MIT Technology Review >

4/ Counselors and therapists are applauding chatbots that help people cope with the death of a loved one. Learn More on Quartz >

5/ The techniques that a poker-playing AI is using to beat humans could be re-purposed to launch cybersecurity attacks or automate guidance for on-demand car services. Learn More on MIT Technology Review >

6/ A Forbes contributor breaks down the industries where AI is most likely to have a large impact over the next 5 years. Learn More on Forbes >

7/ Social acceptance is the only thing stopping super-realistic “computer generated actors” from replacing human actors in the adult entertainment industry. Learn More on Motherboard > (nsfw)

Links from the community.

“The Data That Turned the World Upside Down” submitted by Jay Zaveri (@superjz). Learn More on Motherboard >

“Clausewitz was a Data Strategist” submitted by Sarah Catanzaro (@sarahcat21). Learn More on Medium >

“Why Chatbots Aren’t Just a Fad” submitted by Tom Terado (@teradotom). Learn More on Medium >

“The United States Of Artificial Intelligence Startups” submitted by Anthony Gregorio (@anthonyjg007). Learn More on CB Insights >

“An Executive’s Guide to Machine Learning” submitted by Mike Hanes. Learn More on McKinsey & Company High Tech >

“The 2017 Voice Report by VoiceLabs” submitted by Carl DeBrule. Learn More on VoiceLabs >

“Emerging Tech in 2017: What it Means for Brands” submitted by Sam Battams (@sambattams). Learn More on Medium >

“My First Self-Driving Car” submitted by Bill Zito (@billzito). Learn More on Medium >

Machine Learnings featured on Product Hunt.

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I want to give a special shoutout to community members Kevin Lee and Alexandre Mouriec for their kind words in the Product Hunt discussion, and to you for reading our article and sharing with your friends.

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Machine Learning (ML) and Artificial Intelligence (AI) are having a huge impact on our lives. We help people make sense of how AI & ML will impact their lives by curating and creating AI content that is accessible and just plain interesting.