First, What is Algorithmic Bias?

Algorithmic bias “refers to certain attributes of an algorithm that cause it to create unfair or subjective outcomes. When it does this, it unfairly favors someone or something over another person or thing.”

Watch Joy Buolamwini Talk About Algorithmic Bias & How She’s Fighting It

So, How Does Algorithmic Bias Show Up in Higher Education?

In 2019, a team of Reed College statisticians uncovered biases in the U.S. News & World Report Annual College Rankings algorithm. For example, the team found that the algorithm highly values peer assessment scores (top college officials rating other institutions) and college endowment size.

Then, in 2021, award-winning journalist Malcolm Gladwell continued the investigation and conversation on his podcast Revisionist History. Gladwell uncovered that the peer assessment is not rooted in any substantive evaluation system but instead in reputation.

Therefore, the U.S. News college rankings have consistently perpetuated privilege and wealth by placing colleges with large endowments, primarily white student bodies, higher tuition rates, and a narrow selection of students at the top of the highly regarded lists.

Listen to the illuminating two-part series!

Now, What can YOU Do With This Information?

The college decision process can be a lot!

But, remember, the decision should be centered around a student’s interests and needs, instead of relying on college rankings!

Below are a few tips for students and the many people who support them in the college decision process to explore and consider:

• Location
• Size
• Price
• Academic Pathways
• Student Body
• Extracurriculars & Special Programs
• Career Support