The Hidden Danger of ML Bias: How Team Composition Can Make or Break Your AI Model
Introduction Machine learning (ML) has revolutionized the way we approach complex problems in various industries. However, as ML models become more prevalent, concerns about their fairness and transparency have grown. One of the primary issues is ML bias, which can lead to discriminatory outcomes and decisions. According to a study by MIT, 80% of AI models in production today have some level of bias (Source: “AI Now 2019 Report”). In this blog post, we will explore the concept of team composition and its impact on ML bias, highlighting the importance of diversity in AI development teams. ...