The business case for explainable AI

The objective of ML interpretability is to enable businesses to comprehend the rationale behind their AI models’ decisions. This is crucial because it can enhance decision-making processes, circumvent bias, and ensure AI models comply with regulations. Explainable AI also assists businesses in identifying and resolving AI model issues, ultimately improving system performance.

Explainable AI and responsible AI play a crucial role in businesses owing to their influence on return on investment (ROI), reputation, and morale. Implementing transparent and accountable AI systems can lead to more informed decision-making, enhanced trust from customers and stakeholders, and improved overall business performance. Conversely, neglecting to follow safe and ethical AI principles and compliance guidelines may have adverse consequences. Decreased trust from customers, employees, and partners could harm an organization’s reputation, while potential...