AI Safety Evaluation: A Critical Need
Challenges in Safety Assessments
Many safety evaluations for AI models exhibit significant limitations. The field of safety evaluation for general-purpose AI systems is nascent and requires rapid development.
Ensuring Rigorous Assessments
We advocate for rigorous safety evaluations of powerful AI systems. Evaluating AI models can uncover weaknesses and vulnerabilities, including those found in machine learning (ML) and generative AI, such as large language models.
Importance of AI Safety Research
AI safety research is paramount and deserves widespread support. The anticipated outcomes of this research encompass scalable guidelines, tools, methodologies, and metrics for organizations to employ.
Conclusion
AI safety evaluations are vital to ensure the responsible development and deployment of AI systems. By addressing safety concerns, we mitigate risks and pave the way for the ethical and beneficial use of AI in society.
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