Modern digital marketing is based on people's data. Algorithms and machine learning models use this data to continually identify the biases they are building. If there are reasonable ways to protect your target audience's data, we need to work on them. At a roundtable meeting by the Brookings Institution, people believe that "algorithm operators must be more transparent in the processing of sensitive information," and if there is a way to use that data for positive results, It turns out that they need to be taken into account in machine learning models (if legal) and applicable): "It was argued that using sensitive attributes as part of the algorithm could be a strategy for detecting and in some cases eliminating intentional and unintentional biases." advertisement Continue reading below
The first step is to engage in these ghost mannequin effect discussions and work towards solutions for people's private and protected data. If this personally identifiable information is not part of an algorithm or machine learning process, it may prevent this data from being used in a biased manner. Diversify marketing staff and leadership Marketing as an industry is still very white and masculine, but the target audience is very diverse in myriad aspects. It is a mistake to think that the perspective of a single type of person can cover and understand all experiences. By diversifying our marketing staff, especially leadership, we can see where our own implicit biases work in the way we market our products and services. Here's how to do this: Remove the name from your resume.
Conduct telephone interviews face-to-face or before video to reduce prejudice. Increase the diversity of your interview team. We provide new employees with mentorship opportunities. Make sure you are considering bias in your annual review. Promote salary transparency throughout the organization. Supports internship class. Post jobs in more diverse locations. advertisement Continue reading below Listen without defense This is especially difficult now. But that's the key to understanding how our marketing affects others beyond ourselves. Listen when your BIPOC colleague says something in your marketing doesn't make them uncomfortable or sensitive to the experience of others.