We all have bias -- especially the unconscious kind -- and it's preventing us from doing our best work. Gone unchecked, bias can make employees feel resentful, frustrated and silenced, and it can even lead to outright discrimination and ha...
However, machine learning-based systems are only as good as the data used to train them. In modern machine learning training, developers are finding that bias is endemic and difficult to get rid of. In fact, machine learning depends on algorithmic biases to determine how to classify information...
Throw this phrase down when someone force feeds you an idea, an argument, a reference to a study or over-confidently suggests a course of action. People so rarely have their claims challenged, that asking someone to explain how they know something sheds light on whatever ignorance they’re hi...
However, these commercial enterprises were without exception presented to journal readers as academic-led projects, using attributional spin, which should itself be considered an important form of marketing bias. Barbour et al. correctly conclude that commercial bias in industry clinical trials articles ...
to make sure it's relevant.When a fire consumed the Notre Dame Cathedral in Paris in 2019, social media users shared an old article which claimed pipe bombs were found nearby, sparking "terror fears." Clicking into the article reveals that the incident took place years earlier and was ...
Real-World Examples of AI Bias in Action Let’s ask a generic question on a free image generation tool (chatGPTandCraiyon). Could you give me an image of a doctor in Africa? It’s important to note that with this request, we’re not specifying whether the doctor is male or female,...
Use this framework to assess whether an article displays bias – and whether or not bias gets in the way of accurate reporting. Looking to discredit a story? Accuse its publisher of media bias. “Biased media” is a term that implies a story didn’t tell the whole picture in an attempt...
AI bias refers to systematic errors in an AI model’s predictions or behaviour. These errors occur due to biased data or flawed algorithms. These biases can lead to unfair, inaccurate, or harmful outcomes, particularly when it comes to marginalised groups or sensitive areas like hiring, criminal...
“To ensure that the sample is representative of a population, sampling should be random, i.e. every subject needs to have equal probability to be included in the study. It should be noted that sampling bias can also occur if the sample is too small to represent the target population” ...
Progressive thinkers believe that taxes are a costly but necessary evil, and they would find bias in an article that is overly critical of taxation. Strong National Defense Conservatives advocate a large role for the military in providing security for society. They tend to believe that a large ...