In medicine, this fast thinking, called cognitive bias,can inhibit decisions and judgments, leading to diagnostic errors and potentially patient harm and financial consequences. Human brains are conditioned to find the simple answer, and finding that answer may mean we stop looking for alternatives. ...
What we mean by that is that 100 calories of almonds don’t affect your weight in the same way as 100 calories of nachos. Your body has to work harder to digest foods that are rich in fiber and protein than it does to digest refined carbohydrates, such as white bread, pasta, and ...
Or when to use a support vector algorithm? Get all the answers here. Nerd in the herd: protecting elephants with data scienceA passionate SAS data scientist uses machine learning to detect tuberculosis in elephants. Find out how her research can help prevent the spread of the disease....
What does it mean to be biased: Motivated reasoning and rationality. In H. R. Brian (Ed.), Psychology of learning and motivation (pp. 41-102). Academic Press.Hahn, U., & Harris, A. J. L. (2014). What does it mean to be biased: motivated reasoning and rationality. The Psychology...
Machine learning and AI are often discussed together, and the terms are sometimes used interchangeably, but they don’t mean the same thing. In short, all machine learning is AI, but not all AI is machine learning. Key Takeaways Machine learning is a subset of AI. The four most common ...
Bias: Data may be clean, but is it free from bias? As an obvious case, let’s say you wanted to train a machine learning system to detect dogs in pictures, and you’ve got a robust data set of only Labrador and poodle photos. After training, the model is great at detecting these ...
Bias is an ever-present concern. AI systems are only as reliable as the data on which they are trained; AI outputs could therefore potentially reflect the biases inherent in the underlying data. Some facial recognition programs, for example, have had difficulty recognizing the faces of ...
What does “negatively affect other people” mean? Even though they imply very complex concepts and discussions, as humans we intuitively understand what those phrases mean, or can fill in the blanks when considering specific situations. However, we need to be more precise since Machine Learning ...
There is an important and underlying concern that teachers cannot necessarily detect when their own implicit biases weight decisions in ways that do not serve students’ needs or best interests. Research continues to examine the role of teachers’ unconscious bias in the meaningful persistence of ...
Bias: Data may be clean, but is it free from bias? As an obvious case, let’s say you wanted to train a machine learning system to detect dogs in pictures, and you’ve got a robust data set of only Labrador and poodle photos. After training, the model is great at detecting these ...