Author: Sunil Yadav
Publisher: Baseline
Publication Year: 2022
Summary: The following article discusses how technology is created by humans and often reflects human biases. It is important to prioritize having unbiased artificial intelligence (AI) algorithms and models, because biased AI systems can produce erroneous and discriminatory predictions, and impact a business’s reputation, future opportunities, and earnings. To eliminate or at least reduce AI biases in data, technology experts recommend reviewing AI training data, cross-training employees in various departments that handle data, adding human oversight over AI models, receiving input directly from customers, and employing constant monitoring. While completely unbiased AI is unrealistic, implementing these practices can help companies and organizations do their best to avoid discriminatory and biased practices.
