AI’s Real Problem Starts After Deployment
AI systems face new challenges once deployed in real-world environments, as their behaviour can become unpredictable and harder to manage. This shift in focus from model accuracy to reliable and controlled behaviour in practical settings is crucial for organisations integrating AI into their operations. Companies like UK-based Qognetix are working on solutions to manage AI behaviour post-deployment, highlighting the importance of infrastructure in ensuring AI systems are trustworthy and effectiv
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