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Responsible AI

Responsible AI refers to the development and use of artificial intelligence in a manner that is ethical, transparent, and accountable. It encompasses principles like fairness, privacy, safety, and inclusivity, ensuring AI systems are designed and operated in a way that respects human rights and societal values.

Implementing Responsible AI

Implementing Responsible AI involves various practices: ensuring AI models do not perpetuate biases, maintaining transparency in AI decision-making processes, safeguarding user privacy, and ensuring robustness and safety in AI applications. It's an ongoing effort requiring multi-disciplinary collaboration, including ethicists, engineers, and end-users.

Lakera LLM Security Playbook
Learn how to protect against the most common LLM vulnerabilities

Download this guide to delve into the most common LLM security risks and ways to mitigate them.

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