👉 Controlled computing is an approach that aims to make AI systems more predictable, reliable, and aligned with human values by integrating explicit constraints into their decision-making processes. Unlike traditional machine learning models that learn from data and often operate in an open-ended manner, controlled computing systems are designed with predefined rules and objectives that guide their actions. This involves specifying constraints, such as safety, fairness, and efficiency, which the AI must adhere to during its operations. By doing so, controlled computing seeks to ensure that AI systems behave in a manner consistent with human expectations and ethical standards, reducing the risk of unintended or harmful outcomes. This method is particularly valuable in high-stakes applications like autonomous vehicles, healthcare, and financial systems, where the consequences of errors can be severe.
