Limitations of Algorithmic Fairness in Ensuring Equitable Engagement
While the ideal of fair algorithmic practices is appealing, relying solely on algorithms to guarantee equitable digital engagement is problematic. Algorithms, despite correction efforts, often perpetuate subtle biases inherent in their training data or design, making true fairness difficult to achieve. Moreover, fairness is a multifaceted concept influenced by social, cultural, and context-specific factors that resist reduction to quantifiable metrics. Thus, equating algorithmic adjustments with comprehensive equitable engagement oversimplifies the challenges of designing a genuinely unbiased digital space.