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You meet all the qualifications. Your résumé is perfect. But you don't get a callback.

Maybe there were a wealth of qualified candidates. Or maybe the reviewer saw your name and just "had a feeling." Too often, the latter turns out to be true, as unconscious bias often plays a role in hiring decisions, and it largely affects women and people of color.


Photo by WOCinTech Chat/Flickr (cropped).

That's why the local government in Victoria, Australia, recently launched an 18-month experiment with blind applications.

Yeah, it's basically the human-resources equivalent of "The Voice."

GIF via "The Voice."


The trial will evaluate which pieces of personal information like age, gender, name, or location should be shown or hidden from reviewers during the employment application process. Government departments and agencies as well as a few private companies in the region will take part (the latter will receive financial benefits for participating).

But of course, Australia isn't the only nation with this problem. Not even close.

Here's why hiring managers and recruiters everywhere need to consider blind applications.

1. Because just using your given name can make your job hunt exponentially longer.

One study found that candidates with African-American-sounding names were 50% less likely to move forward to job interviews than candidates with white-sounding names, even with identical résumés. And research from the Australian National University revealed that to get as many interviews as an applicant with an Anglo-sounding name, a person with a Middle Eastern name would have to submit 64% more applications. A person with a Chinese-sounding name? 68%.

Photo by iStock.

2. Because even though we've shown them time and time again, some people still don't think women can get the job done.

In the1970s and '80s, orchestras around the world began using blind auditions to fill their ranks. Musicians perform behind a screen to disguise themselves, even removing their shoes if they could be a giveaway.

Photo by Miguel Medina/AFP/Getty Images.

When orchestras use the screen — even just for preliminary auditions — women are 50% more likely to make it to the final round of judging. Many attribute the increase in women in performance ensembles over the years to these blind auditions.

A recent (non-peer-reviewed) study of women coders got similar results. When those judging their work didn't know they were women, the reviewers were more likely to accept their suggestions.

Photo by WOCinTech Chat/Flickr (cropped).

3. Because even your neighborhood can make people think twice about hiring you.

As if name and gender weren't enough, individuals making hiring decisions sometimes judge applicants on their address too. Regardless of race, people living in more affluent, better-educated neighborhoods receive more callbacks for interviews.

Photo by iStock.

Our biases continue into the interview process. Luckily, there ways to overcome them there too.

Some argue that interviews themselves are simply exercises in affirmation bias and aren't the best way to hire people. As Ori Brafman, behavioral expert and co-author of the book "Sway," told the New York Times: "Time and again, the research shows that interviews are poor predictors of job performance because we tend to hire people we think are similar to us rather than those who are objectively going to do a good job."

His suggestion? Replace the "first-date" model often used in interviews and stick to the facts: examples of past performance.

Photo by iStock.

Unconscious bias is just that: unconscious. But there are steps we can take to give qualified applicants a fair shot.

All of us, regardless of gender, race, or age have biases. It's up to us to acknowledge them, identify them, and take active steps to keep them out of the decision-making process.

It's easier said than done, but like this trial run in Victoria, we have to start somewhere.

Photo by iStock.

Joy

Nurse turns inappropriate things men say in the delivery room into ‘inspirational’ art

"Can you move to the birthing ball so I can sleep in the bed?"

Holly the delivery nurse.

After working six years as a labor and delivery nurse Holly, 30, has heard a lot of inappropriate remarks made by men while their partners are in labor. “Sometimes the moms think it’s funny—and if they think it’s funny, then I’ll laugh with them,” Holly told TODAY Parents. “But if they get upset, I’ll try to be the buffer. I’ll change the subject.”

Some of the comments are so wrong that she did something creative with them by turning them into “inspirational” quotes and setting them to “A Thousand Miles” by Vanessa Carlton on TikTok.

“Some partners are hard to live up to!” she jokingly captioned the video.

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All images provided by Adewole Adamson

It begins with more inclusive conversations at a patient level

True

Adewole Adamson, MD, of the University of Texas, Austin, aims to create more equity in health care by gathering data from more diverse populations by using artificial intelligence (AI), a type of machine learning. Dr. Adamson’s work is funded by the American Cancer Society (ACS), an organization committed to advancing health equity through research priorities, programs and services for groups who have been marginalized.

Melanoma became a particular focus for Dr. Adamson after meeting Avery Smith, who lost his wife—a Black woman—to the deadly disease.

melanoma,  melanoma for dark skin Avery Smith (left) and Adamson (sidenote)

This personal encounter, coupled with multiple conversations with Black dermatology patients, drove Dr. Adamson to a concerning discovery: as advanced as AI is at detecting possible skin cancers, it is heavily biased.

To understand this bias, it helps to first know how AI works in the early detection of skin cancer, which Dr. Adamson explains in his paper for the New England Journal of Medicine (paywall). The process uses computers that rely on sets of accumulated data to learn what healthy or unhealthy skin looks like and then create an algorithm to predict diagnoses based on those data sets.

This process, known as supervised learning, could lead to huge benefits in preventive care.

After all, early detection is key to better outcomes. The problem is that the data sets don’t include enough information about darker skin tones. As Adamson put it, “everything is viewed through a ‘white lens.’”

“If you don’t teach the algorithm with a diverse set of images, then that algorithm won’t work out in the public that is diverse,” writes Adamson in a study he co-wrote with Smith (according to a story in The Atlantic). “So there’s risk, then, for people with skin of color to fall through the cracks.”

Tragically, Smith’s wife was diagnosed with melanoma too late and paid the ultimate price for it. And she was not an anomaly—though the disease is more common for White patients, Black cancer patients are far more likely to be diagnosed at later stages, causing a notable disparity in survival rates between non-Hispanics whites (90%) and non-Hispanic blacks (66%).

As a computer scientist, Smith suspected this racial bias and reached out to Adamson, hoping a Black dermatologist would have more diverse data sets. Though Adamson didn’t have what Smith was initially looking for, this realization ignited a personal mission to investigate and reduce disparities.

Now, Adamson uses the knowledge gained through his years of research to help advance the fight for health equity. To him, that means not only gaining a wider array of data sets, but also having more conversations with patients to understand how socioeconomic status impacts the level and efficiency of care.

“At the end of the day, what matters most is how we help patients at the patient level,” Adamson told Upworthy. “And how can you do that without knowing exactly what barriers they face?”

american cancer society, skin cacner treatment"What matters most is how we help patients at the patient level."https://www.kellydavidsonstudio.com/

The American Cancer Society believes everyone deserves a fair and just opportunity to prevent, find, treat, and survive cancer—regardless of how much money they make, the color of their skin, their sexual orientation, gender identity, their disability status, or where they live. Inclusive tools and resources on the Health Equity section of their website can be found here. For more information about skin cancer, visit cancer.org/skincancer.

The mesmerizing lost art of darning knit fabric.

For most of human history, people had to make their own clothing by hand, and sewing skills were subsequently passed down from generation to generation. Because clothing was so time-consuming and labor-intensive to make, people also had to know how to repair clothing items that got torn or damaged in some way.

The invention of sewing and knitting machines changed the way we acquire clothing, and the skills people used to possess have largely gone by the wayside. If we get a hole in a sock nowadays, we toss it and replace it. Most of us have no idea how to darn a sock or fix a hole in any knit fabric. It's far easier for us to replace than to repair.

But there are still some among us who do have the skills to repair clothing in a way that makes it look like the rip, tear or hole never happened, and to watch them do it is mesmerizing.

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Pop Culture

Artist uses AI to create ultra realistic portraits of celebrities who left us too soon

What would certain icons look like if nothing had happened to them?

Mercury would be 76 today.

Some icons have truly left this world too early. It’s a tragedy when anyone doesn’t make it to see old age, but when it happens to a well-known public figure, it’s like a bit of their art and legacy dies with them. What might Freddie Mercury have created if he were granted the gift of long life? Bruce Lee? Princess Diana?

Their futures might be mere musings of our imagination, but thanks to a lot of creativity (and a little tech) we can now get a glimpse into what these celebrities might have looked like when they were older.

Alper Yesiltas, an Istanbul-based lawyer and photographer, created a photography series titled “As If Nothing Happened,” which features eerily realistic portraits of long gone celebrities in their golden years. To make the images as real looking as possible, Yesiltas incorporated various photo editing programs such as Adobe Lightroom and VSCO, as well as the AI photo-enhancing software Remini.

“The hardest part of the creative process for me is making the image feel ‘real’ to me,” Yesiltas wrote about his passion project. “The moment I like the most is when I think the image in front of me looks as if it was taken by a photographer.”

Yesiltas’ meticulousness paid off, because the results are uncanny.

Along with each photo, Yesiltas writes a bittersweet message “wishing” how things might have gone differently … as if nothing happened.
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