How does the complexity of AI systems affect the need to provide explanations to stakeholders?

The complexity of AI systems significantly impacts the necessity to provide explanations to stakeholders. As AI systems become more intricate and autonomous, stakeholders, such as users, customers, and regulators, increasingly demand transparent and understandable explanations for the system's decisions and behavior. Complex AI systems, often based on deep learning or neural networks, can make predictions or decisions that may be perceived as a "black box," making it challenging for stakeholders to comprehend the reasoning behind them. This lack of explainability can lead to mistrust, limitations in regulatory compliance, and hinder the adoption of AI systems in critical domains. Providing clear and interpretable explanations is vital for stakeholders to trust and engage with AI systems, ensuring accountability, ethical considerations, and fairness.

This mind map was published on 27 November 2023 and has been viewed 92 times.