Mitigating Bias in Technological Systems
Taming the Algorithm: Exploring Technology De-biasing Techniques Artificial intelligence (AI) is rapidly permeating every aspect of our lives, from recommending movies to diagnosing diseases. While its potential benefits are immense, AI systems can inherit and amplify existing societal biases, leading to unfair and discriminatory outcomes. Imagine a hiring algorithm trained on historical data that disproportionately favors male candidates. This biased training could result in the algorithm unfairly rejecting qualified female applicants. This is just one example of how technology bias can perpetuate inequality. Fortunately, researchers are actively developing de-biasing techniques to mitigate these risks and ensure AI systems are fair and equitable. Let's delve into some promising approaches: 1. Data Diversification: The foundation of any AI system lies in its...