Dr. Anu Gokhale, professor and chairperson in the Saint Augustine’s University Department of Computer Information Systems, gave a lecture at Alumnae Hall titled “Algorithmic Bias: Myth or Reality?” on ...

AI bias is an anomaly in the output of machine learning algorithms. These could be due to the prejudiced assumptions made during the algorithm development process or prejudices in the training data.

Algorithms have become increasingly pervasive as organizations in both the public and private sectors have sought to automate tasks that once required human intelligence. From facial recognition to ...

The rapid proliferation of algorithmic systems has sparked widespread concerns about their potential to perpetuate and ...

One of the biggest barriers to using AI successfully is bias, which is one of the terms we defined last time, as follows: Bias, in a general context, refers to a predisposition or inclination towards ...

True or false? Humans are fallible and biased while computers are logical and impartial. For years, data scientists held a belief in that statement, and algorithms were written with confidence that ...

Part 2, Digital Inequality Series: Under what conditions can artificial intelligence benefit all of society vs. just a few people? Kalinda Ukanwa, a quantitative marketing scholar at the University of ...

AI is riddled by bias, especially in healthcare. Just one well-known example is a study from 2019 that revealed racial bias in a clinical algorithm used by hospitals showing that Black patients had to ...