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Advanced AI suffers ‘complete accuracy collapse’ in face of complex problems, study finds - The Guardian
Artificial Intelligence (AI) technology, while often touted for its revolutionary capabilities in fields ranging from healthcare to finance, may have hit a snag - and the issue lies in the realm of complexity. A study conducted by researchers at the University of Oxford and IBM suggests that even the most advanced AI systems struggle to handle complex problems, leading to what they call a 'complete accuracy collapse'.
The researchers designed a series of advanced artificial intelligence models and tasked them with solving complex problems. Surprisingly, the results showed that the more complicated the task, the more the AI models faltered. This raises concerns about the application of AI in real-world situations where problems are likely to be multifaceted and entail a high level of complexity.
The study proposes that a major factor contributing to the 'accuracy collapse' is the inherent simplicity of the AI models. The learning algorithms behind these systems are primarily designed to understand patterns and make predictions by considering only a limited set of inputs. When faced with circumstances that deviate from the patterns or exceed the system's capacity to handle a comprehensive range of inputs, the AI model falters and provides insufficient or even misleading results.
This finding could have profound implications on the development and implementation of AI technology. It suggests that domain experts must play a pivotal role in designing AI models, especially those aimed at handling complex problems. Further research is needed to understand how to improve the capacity of AI systems to handle complexity and make them more accurate in their predictions.
In the meantime, the research highlights the urgent need to avoid overselling the capabilities of AI systems and raising unrealistic expectations from the public. It's a stark reminder that no matter how advanced they get, AI models still have limitations and only serve as helpful assistants, not, as some might hope, magical problem-solvers.
Source: "artificial intelligence" - Google News, Link
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