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Artificial intelligence (AI) has become a staple in our daily lives, from the recommendations we get on Netflix to the predictive text on our phones and even the hiring tools used by companies to screen candidates. However, as AI grows more powerful and widespread, a silent issue is also scaling up with it — AI bias. While AI may appear neutral, it’s anything but. Left unchecked, AI bias can lead to unfair decisions, tarnish reputations, and perpetuate social inequalities. Let’s dig deeper into why this happens and, more importantly, how we can address it. What is AI Bias? AI bias occurs when an AI system produces results that are systematically prejudiced due to erroneous assumptions in the machine learning process. Imagine an AI model trained to screen resumes. If it’s fed data from past hiring decisions that favored one demographic group, it might “learn” to favor that group again, regardless of individual qualifications. This bias isn’t intentional, but rather a byproduct of the da...

  MAJOR CAUSES OF MISINFORMATION AND FAKE NEWS In ancient times, false rumours or misinformation used to spread across in a limited community gradually. However, with the advent of social media the rate of spreading of misinformation reached dangerously high levels. There are numerous causes of dispersion of false information or fake news, some of which are discussed below. OVERLOAD OF INFORMATION We live in an era where we are being overw h elmed by social media news, posts or memes. Every day we scroll through hundreds of different topics related to various fields of life. As much as it has become easier to access information, the reliability and accuracy of the information has degraded to a considerable level. Resultantly, it has become really difficult to differentiate rights from wrongs. The glut of information has also caused the loss of high-quality information. This is because social media algorithm promotes memes based on their popularity rather than reliability. Moreover,...