“Avoiding biased language is not just something to learn in order to be politically correct. Unbiased language sends the message that you’re invested in inclusivity.” Here are a few common examples of biased language, and ideas of what you could say instead: Age. Avoid condes...
Once a fair and unbiased job description is decided upon, the interview process much likewise is equalized. How to avoid unconscious bias in interviewing While this is a complex process with no push-button solutions, there are tangible, research-backed steps that you can take to reduce unconsci...
It’s important to write in a way that makes your audience feel respected. Here, we’ll explore what you need to know about what is bias free language.
Response bias can hinder the results & success of your survey data. In this ultimate guide, we'll discover exploration & prevention before it's too late.
Recognizing interview bias is crucial for creating a fair hiring process. Let's explore it with the best types and ways to avoid it.
Predictive analytics is the art of using historical & current data to make projections about what might happen in the future. Learn more for your business.
Deep learning is a subset of machine learning that uses multilayered neural networks, to simulate the complex decision-making power of the human brain.
Confirmation bias: Closely related to cognitive bias, this happens when AI relies too much on pre-existing beliefs or trends in the data—doubling-down on existing biases, and unable to identify new patterns or trends. Exclusion bias:This type of bias occurs when important data is left out...
Observer bias is a type of statistical bias that’s biased as a result of the subjectivity of the observer. No human can be completely unbiased, so observer bias is always going to be an issue. The best you can do is learn to recognize it. ...
AI bias is an anomaly in the output of ML algorithms due to prejudiced assumptions. Explore types of AI bias, examples, how to reduce bias & tools to fix bias.