AI explainability

Articles tagged AI explainability on mistr.AI.

• AI in cybersecurity: The gap between management enthusiasm and frontline skepticism — AI in cybersecurity is a necessity today, but the enthusiasm of company leadership often runs up against the hesitation of ordinary analysts. What are the real benefits, where is the line of trust, and how can the tension be overcome?
• Industrial AI: Practical Steps for Maximum Value and Minimum Risk — Artificial intelligence promises industry higher efficiency, lower costs, and new possibilities for predictive maintenance. But how do you ensure that the benefits of AI are not outweighed by risks such as unclear decision-making, biased data, or poor integration into business processes? Discover how successful companies approach it.
• How (Not) to Regulate AI: Soft Approach, Hard Approach, or Something in Between? — AI-related risks are growing and countries around the world are searching for the right way to manage them. Each takes a different path — from free markets to strict regulation to compromise. Where is the ideal balance?