Cognitive Bias in GenAI Use: From Groupthink to Human Mitigation

“When you believe in things you don’t understand, then you suffer; superstition ain’t the way.”

–Stevie Wonder, “Superstition,” 1972

I thought of the words of Stevie Wonder’s song “Superstition” the day after I spent a late night doomscrolling social media, desperate for news about a recent national tragedy that touched a local family. I ended up taking a sleeping pill to get some reprieve and a decent night’s sleep.

While doomscrolling on social media is a uniquely modern phenomenon, the desire to seek confirmation and validation through affinity is not. It’s a form of Groupthink. After all, we choose to “follow” folks who are amused (or perhaps “consumed”?) by the same things we are. Cat video, anyone?

In the 21st century, Groupthink isn’t limited to groups anymore. It’s now personal and as close as your mobile phone or desktop. The intimate version of Groupthink began with social media memes and comments and has quickly expanded to include generative AI (GenAI) engagement.

Intellectually, we have mostly come to understand that Groupthink drives our social media feeds—with the help of overly accommodating algorithms. Now, similar dynamics are quietly emerging in how we use GenAI. Cognitive biases that seep into GenAI engagement, especially automation bias and confirmation bias, can warp our content and projects unless we understand what these biases are, how they manifest, and how to manage them.

A Quick Refresher on Groupthink

Irving Janis, an American professor of psychology, first defined the term ” Groupthink ” in 1972 as a “mode of thinking that people engage in when they are involved in a cohesive in-group, when members’ strivings for unanimity override their motivation to realistically appraise alternative courses of action.” In other words, we go along to get along, as the American idiom goes.

Read more

The Secret to Consistent Voice, Tone, and Style 

Not long ago, I was asked what exactly I do. It’s not really a secret. I help organizations improve their existing content while making room for newly developed content—all while helping to ensure the final, overall experience for the target audience(s) is consistent. But the conversation got stuck on the word “consistent.”

Why is consistency important? How does one achieve it? Especially in technical content?

A consistent voice, tone, and style across documents and online content can be the difference between a cohesive user experience and a confusing jumble of instructions. We’ve all experienced it, right? That user manual or technical guide that feels like a dozen different people wrote it on a dozen different days. The information might be accurate, but the experience of reading it? Well, that’s another story.

So, let’s explore the real story of consistency in voice, tone, and style in technical communication, the pitfalls of inconsistency, and how to establish guidelines that ensure your content speaks with a single voice to the reader, no matter how it is generated or how many writers are involved.

Read more