Your coworker is tired of AI "workslop" (feat. Dr. Kristina Rapuano)

Everything’s easier with AI… except having to correct it.

In just the three years since OpenAI released ChatGPT, not only has onlife life changed at home—it’s also changed at work. Some of the biggest software companies today, like Microsoft and Google, are forwarding a vision of an AI-powered future where people don’t write their own emails anymore, or make their own slide decks for presentations, or compile their own reports, or even read their own notifications, because AI will do it for them.

But it turns out that offloading this type of work onto AI has consequences.

In September, a group of researchers from Stanford University and BetterUp Labs published findings from an ongoing study into how AI-produced work impacts the people who receive that work. And it turns out that the people who receive that work aren’t its biggest fans, because it it’s not just work that they’re having to read, review, and finalize. It is, as the researchers called it, “workslop.”

Workslop is:

“AI generated work content that masquerades as good work, but lacks the substance to meaningfully advance a given task. It can appear in many different forms, including documents, slide decks, emails, and code. It often looks good, but is overly long, hard to read, fancy, or sounds off.”

Far from an indictment on AI tools in the workplace, the study instead reveals the economic and human costs that come with this new phenomenon of “workslop.” The problem, according to the researchers, is not that people are using technology to help accomplish tasks. The problem is that people are using technology to create ill-fitting work that still requires human input, review, and correction down the line.

“The insidious effect of workslop is that it shifts the burden of the work downstream, requiring the receiver to interpret, correct, or redo the work,” the researchers wrote.

Today, on the Lock and Code podcast with host David Ruiz, we speak with Dr. Kristina Rapuano, senior research scientist at BetterUp Labs, about AI tools in the workplace, the potential lost productivity costs that come from “workslop,” and the sometimes dismal opinions that teammates develop about one another when receiving this type of work.

“This person said, ‘Having to read through workshop is demoralizing. It takes away time I could be spending doing my job because someone was too lazy to do theirs.'”

Tune in today.

You can also find us on Apple Podcasts, Spotify, and whatever preferred podcast platform you use.

For all our cybersecurity coverage, visit Malwarebytes Labs at malwarebytes.com/blog.

Show notes and credits:

Intro Music: “Spellbound” by Kevin MacLeod (incompetech.com)

Licensed under Creative Commons: By Attribution 4.0 License

http://creativecommons.org/licenses/by/4.0/

Outro Music: “Good God” by Wowa (unminus.com)

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