Скачать или смотреть What Development Issues Cause Algorithmic Bias?

Algorithmic bias is a critical concern in today's AI-driven world. This video delves into the core development issues that contribute to these biases, impacting fairness, accuracy, and trust in AI systems. Understanding these root causes is essential for building more ethical and equitable technology.

Discover key factors leading to algorithmic bias:
► Explore how data collection and labeling practices can embed bias into AI models.
► Understand the role of model design and feature selection in perpetuating or mitigating bias.
► Examine the impact of inadequate testing and validation strategies on uncovering hidden biases.
► Learn about the challenges in deployment and continuous monitoring that can allow bias to persist or emerge.


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