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Deontological ethics, which emphasizes adherence to ethical rules, has been proposed as a framework for aligning AI techniques with human values. AI safety analysis has additionally examined defensive strategies for protecting machine studying techniques from knowledge poisoning attacks during coaching. These frameworks are sometimes integrated into AI methods to enhance security and reliability. AI safety evaluations can broadly be categorized as both testing the direct output of the model (mannequin safety evaluations), or analyzing how entry to the mannequin can affect human conduct (contextual security evaluations). Evaluations may help decide each [The UK Shopping Network](https://realestatedemo.turnkeyinfotech.in/author/noemi210883362/) danger posed by the raw model outputs, as effectively because the potential real-world outcomes of [deploying](https://dev.rasadyar.com/valeriabrake8/4743shop-safely/wiki/Technology-News-Iphone-Apps) such fashions. 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