Awesome, not awesome.
“AI could open up opportunities for citizens to work and engage with government processes and policies in a way that has never been possible before. New AI tools that include voice-activated processes could make areas of government accessible to people with learning, hearing and sight impairments that previously wouldn’t have had the opportunity in the past.” — Kriti Sharma, FounderLearn More on recode >
“In the US, healthcare inequalities are systemic and closely intertwined with social inequalities… if developed and used sensitively, artificial intelligence systems could go a long way to mitigating these inequalities by removing human bias. AI systems can find patterns and links [in control trial data sets] that would have previously required great levels of expertise or time from human doctors… but data coming from randomized control trials are often riddled with bias…If we don’t closely monitor AI’s use in healthcare, there’s a risk it will perpetuate existing biases and inequalities by building systems with data that systemically fail to account for anyone who is not white and male.” — Robert Hart, Researcher Learn More on Quartz >
What we’re reading.
1/ Children form incredibly close relationships with Amazon’s Alexa, and parents are pressed to remind them that ‘Alexa is a computer and that’s it. Alexa doesn’t love you.’ Learn More on The New York Times >
2/ Apple is Apple because of the incredible user experiences they create, but their commitment to privacy will starve their their algorithms of the data they need to take those experiences to the next level. Learn More on WIRED >
3/ One of Wall Street’s most respected investment bank thinks IBM’s investment into Watson will be a major flop that returns little value to shareholders. Learn More on TechCrunch >
4/ Professions (like paralegals) have traditionally made social mobility possible, but as they are automated, it will become increasingly harder for people to break into a better social class. Learn More on The Verge >
5/ Computer scientists use artificial intelligence to create fake videos of world leaders lip syncing statements different from those they actually made. Learn More on NPR >
6/ Whichever AI narrative we tell ourselves could become a self-fulfilling prophecy. Instead of focusing on dystopia, let’s embrace the option to “double down on humanity while also using AI to improve our lives.” Learn More on WIRED >
7/ Intel scrambles to meet the demand of customers’ who want chips that handle AI-related tasks — how they handle it will have large impacts on their business model and profits. Learn More on The New York Times >
Links from the community.
“As SaaS applications explode, expect machines to find anomalies that require human intervention” by Tomasz Tunguz (@ttunguz). Learn More on Machine Learnings blog >
“What Happens When Two Artificial Intelligences Try To Prank Each Other?” submitted by Avi Eisenberger (@aeisenberger). Learn More on Fast Company >
“Columbia University AI Speech” submitted by Samiur Rahman (@samiur1204). Learn More on Twitter >
“Jobs Replaced by Robots 😨” submitted by Elana Baurer (@elanaburer). Learn More on Replaced by Robot >
“AI Is Going to Change the Way B2B Marketers Think and Communicate” by Aman Naimat (@aman_naimat). Learn More on Machine Learnings blog >
Let’s block ads! (Why?)