Putting diversity in the picture

A grid of nine identical images of the same handsome white male smiling while driving a car

Today I was putting together a presentation that I’m delivering tomorrow (at way too early in the morning – who schedules 7:30am meetings? Wind turbine technicians, that’s who).

Anyway, I was poaching photos off the internet for my slides, and here was my shopping list:

  • Someone driving a car
  • Someone working on machinery while ticking things off on a clipboard
  • Someone pulling electronics to pieces or maybe doing electrical testing

Here’s the sort of screen which comes up in your search results if you search for “someone driving a car”:

A collection of images off the internet when searching for "someone driving a car". It's a collection of (mostly white) men driving, with a woman in one photo as a passenger.
Depicted: Someone driving a car

My other search results were similar. Where the women at? I was scared to see what kind of misogynistic nonsense might turn up with a search like “woman driving a car”, but it turned out ok.

A collection of images off the internet when searching for "woman driving a car". It's a collection of various women smiling while driving a car.
Depicted: Woman driving a car

In the end I got the reasonable photo diversity I was looking for by just going a bit further with my search terms to get beyond the default “white guy” filter. The search terms that I used in the end went something like this:

  • “woman driving with a cup of coffee”
  • “working on machinery with a clipboard”
  • “woman electrical fault finding”

Putting a bit of diversity and inclusion into your content isn’t difficult, you just have to be aware that it’s something worth doing, and try to be aware of your own biases. Here’s that slide:

Image depicting work mode versus error rate. 'Skill-based' is low error, represented by a woman driving while drinking coffee. 'Procedure-based' is medium risk, represented by an Asian man in a factory with a hard hat and clipboard. 'Knowledge-based' is highest risk, represented by a woman performing electrical fault finding.
Depicted: a bit of diversity in the picture
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