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AI system, Clio, offers privacy-oriented analytics for practical AI applications in the real world

Articles detailing Anthropic's latest innovation, Clio - an AI assessment system designed to ensure user privacy during system usage.

Insightful System, Clio, Offers Privacy-Protected Analytics on AI Applications in the Real World
Insightful System, Clio, Offers Privacy-Protected Analytics on AI Applications in the Real World

AI system, Clio, offers privacy-oriented analytics for practical AI applications in the real world

In the ever-evolving world of Artificial Intelligence (AI), understanding how language models are being utilised has been a challenging task. This is where Clio, an automated analysis tool developed by Anthropic, steps in. Clio is a privacy-preserving tool that enables a clearer understanding of AI model use, particularly in the case of Claude.

Clio, powered entirely by Claude, employs a multi-stage process to distil conversations into understandable topic clusters while preserving user privacy. This process involves extracting facets, semantic clustering, cluster description, and building hierarchies.

One of Clio's key roles is to identify activity prohibited by the Usage Policy, such as attempts to resell unauthorized access to Claude. It has also been instrumental in monitoring novel uses and risks during periods of uncertainty or high-stakes events.

Clio's outputs are not used for automated enforcement actions at this time. However, the Trust and Safety team uses Clio to review topic clusters for potential violations of the Usage Policy. It has helped in reducing false negatives, where the system didn't flag potentially harmful conversations, and in investigating false positives, where the classifier inadvertently tagged benign content as harmful.

The privacy of users' data is a crucially important factor standing in the way of a clear understanding of AI model use. To address this, regular audits of Clio's privacy protections are conducted to ensure the safeguards are performing as expected. Strict data minimization and retention policies have been implemented to mitigate the risk of misuse of Clio.

The rapidly-growing popularity of large language models has been a subject of interest, but until now, there has been little insight into how they are being used. Clio has provided valuable insights into how people use Claude in practice, including a particular emphasis on coding-related tasks, educational uses, and business strategy and operations.

Clio's usage varies considerably across languages, reflecting varying cultural contexts and needs. Companies with consultation-intensive customer service use Claude for internal help systems or chat assistant functions, and the KI startup Venta AI uses Claude both for programming and writing emails to potential customers.

Clio has identified patterns of coordinated, sophisticated misuse that might evade simpler detection methods. It has also been used to screen for emergent capabilities and harms during the rollout of new features.

Understanding how people use language models is important for safety reasons, as providers put considerable effort into pre-deployment testing and use Trust and Safety systems to prevent abuses. With Clio, Anthropic is taking a significant step towards ensuring the safe and responsible use of AI.

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