AI in selection: One quick video to introduce the topic in a way that is accessible to under

Are curly fries linked to intelligence? The data shows that might be the case pic.twitter.com/pjdJYDHDaS

— Business Insider (@businessinsider) September 17, 2019

This is a nice, novice starting point for the BIG, big topic of using AI in hiring. I think it hooks the average college student because they have been told for YEARS to maintain a vanilla social media presence. Now? Even innocuous "Likes" can be used to judge them as applicants.

From this starting point, you can go down the rabbit hole with plenty of examples of AI in hiring, related legalities, instances when it has worked out well.

The statistics instructor in me likes the fact that the narrator stresses the fact that all of these relationships are correlational and don't imply causation. As such, this example also fits in a stats class for a very, very basic primer on data mining.

Tweet about masking feelings at work

The following Tweet, and replies, illustrate masking in the workplace, the stress of service jobs, employee assessment.

@kcdanger's original Tweet, and replies, show you how this poor Starbuck's employee had to mask his feelings. Go through the thread in order to see her in-depth, visceral description of what it is to mask one's feelings, especially when your livelihood depends upon it.

ok interestingly this is a rly good example of emotional labor. yr working at ur dumbass job that you get up at 6am for, tired af, and someone does something they think is cute but actually is almost unbearable/makes ur job harder. what do u do? service workers know: smile, a lot https://t.co/3JJVPbnVKS

— DJ BOYFRIEND (@kcdanger) December 14, 2019

In addition to @kcdanger's reaction, users also bring up other nuances of this situation. User @KaiaVictoria chimes in with her own experiences of being up against the clock at Starbuck's, and unrealistic expectations for service.