Tag: XAI Challenges

XAI Challenges refer to the various difficulties and obstacles encountered in the implementation and development of Explainable Artificial Intelligence (XAI). XAI aims to create AI systems that can provide transparent and understandable explanations for their decisions and actions. The challenges include ensuring the interpretability of complex algorithms, addressing biases in AI models, and making explanations accessible to users with different levels of expertise. Additionally, there are concerns regarding the trade-off between accuracy and explainability, as more complex models may yield better performance but are harder to interpret. Other challenges involve regulatory compliance, user trust, and effectively communicating explanations in a manner that aligns with human reasoning and decision-making processes. These challenges are critical as they impact the adoption and ethical deployment of AI technologies in various applications.