If you’ve applied for a job lately, it’s all but guaranteed that your application was reviewed by software, in most cases, before a human ever laid eyes on it. This is a thread about episode one of our four-part investigation into the world of automated hiring.
In the first podcast episode of this series, we speak with the CEOs of @ZipRecruiter and @CareerBuilder, and one of the architects of @LinkedIn’s algorithmic job-matching system, to explore how AI is increasingly playing job matchmaker. podcasts.apple.com/us/podcast/hir…
Most of the Fortune 500 already use some kind of AI to screen job applications, says @HilkeSchellmann, who reported this episode and wrote the accompanying story below. That includes @Unilever, @McDonalds, and @IBM and many, many other large companies. technologyreview.com/2021/06/23/102…
Thanks to job sites like LinkedIn and ZipRecruiter, these large companies are drowning in millions of job applications a year. They need a solution that scales.
So, how might you, as a job seeker, experience artificial intelligence? Podcast host @StrongReporter explains.
But there’s a problem with this technology...
Algorithms have a history of biasing the opportunities they present to people by gender, race...and in at least one case, whether you played lacrosse in high school.
And that’s just the tip of the iceberg.
🎧 LISTEN to the full podcast episode of #InMachinesWeTrust to learn more about our investigation into what happens when algorithms try to predict how successful an applicant will be. podcasts.apple.com/us/podcast/hir…
This episode is the first in a four-part series. SUBSCRIBE to #InMachinesWeTrust on @ApplePodcasts, @Spotify or however you listen to get updates about future episodes. traffic.megaphone.fm/MIT9508507886.…
Want to support more mission-driven journalism like this? Subscribe to MIT Technology Review. For $50 per year, you’ll get unlimited access to our journalism and our Webby-nominated newsletter on artificial intelligence, The Algorithm. forms.technologyreview.com/subscriptions/…

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More from @techreview

28 Jun
They called it a conspiracy theory. But this postdoctoral research tweeted life into the idea that the virus came from a lab. Here’s a thread about how she did it—and why it matters to the search for the origin of covid-19. technologyreview.com/2021/06/25/102…
.@Ayjchan started asking questions in March 2020. She was chatting with friends on Facebook about the virus spreading out of China. She thought it was strange that people were saying it had come out of a food market. If that was so, why hadn’t anyone found any infected animals?
She wondered why no one was admitting another possibility, which seemed very obvious to her: the outbreak might have been due to a lab accident.
Read 23 tweets
13 May
Was the covid-19 pandemic caused by a laboratory accident? A year ago, this idea was denounced as a conspiracy theory. Now, a group of prominent biologists say there needs to be a “safe space” for asking this question. technologyreview.com/2021/05/13/102…
In a letter in the journal @ScienceMagazine, 18 prominent biologists—including the world’s foremost coronavirus researcher—are lending their weight to calls for a new investigation of all possible origins of the virus.
They are also calling on China’s laboratories and agencies to “open their records” to independent analysis.
Read 8 tweets
13 May
The hype around “scariants” is overblown, but we also shouldn’t be too complacent. Here are five reasons why you shouldn’t panic about coronavirus variants.
Real-world data out of Qatar suggests that the Pfizer vaccine works quite well, even against B.1.351. Full vaccination offered 75% protection, still “a miracle,” says Andrew Read, a disease ecologist at @PennStateBio.
While scientists testing vaccine efficacy often focus on antibodies, they are only “a very narrow slice” of what the immune response might be, says @drjenndowd. T-cells also help keep infections in check—and there’s data that the vaccines elicit good T-cell responses. The immune response is robust.
Read 8 tweets
12 May
This is a thread about how China used a prize-winning iPhone hack, developed at the country’s top security competition, to spy on the Uyghurs. technologyreview.com/2021/05/06/102…
Chinese hackers used to be the most dominant force at international hacking competitions. In 2018, Beijing stopped sending its hackers overseas and instead created its own contest. The first top prize went to a remarkable iPhone hack.
.@techreview has learned that US government surveillance quickly spotted the same prize-winning iPhone hack being used against Uyghurs, and informed Apple.
Read 8 tweets
11 May
This thread is about how artificial intelligence learns to communicate—and what it means for the humans on the other end of the conversation. LISTEN to the full podcast episode of #InMachinesWeTrust: podcasts.apple.com/us/podcast/wha…
You heard that right. We called up the original voice of Siri for this podcast episode. And @SiriouslySusan tells us she had no idea her voice would become the one that millions would associate with Apple devices.
Our very own @charlottejee also turns her parents into voice assistants. She and her family worked with HereAfter, one of a slew of companies preserving the memory of our loved ones... by creating interactive, digital versions of them.
Read 7 tweets
10 May
The pandemic took the concept of universal basic income out of Silicon Valley’s hands—and turned it into something far more radical.

Thread 👇
technologyreview.com/2021/05/07/102…
Universal basic income has become a favored cause for many high-profile Silicon Valley entrepreneurs like @jack and Mark Zuckerberg as a solution to the job losses and social conflict that would be wrought by automation and AI—the very technologies their own companies create.
But the conversation has changed. Its center of gravity has shifted away from “universal basic income” aimed at counterbalancing the automation of work and toward “guaranteed income” aimed at addressing economic and racial injustices.
Read 12 tweets

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