"ZhiShan·GuangXing" AI Large Model Ethics and Safety Observatory Released ---- Institute of Automation, Chinese Academy of Sciences
**Abstract:** The "ZhiShan·GuangXing" Artificial Intelligence (AI) Ethics and Safety Observatory, a platform dedicated to the ethical evaluation and improvement of large AI models, has been officially launched by the Center for AI Ethics and Governance and the Future AI Research Center of the Chinese Academy of Sciences' Institute of Automation. This initiative aims to harness public participation and feedback to assess the ethical behavior of AI models, providing a crowd-sourced mechanism for identifying and addressing ethical issues in AI outputs. The platform operates on a crowdsourcing model, inviting the general public to submit test results and observations regarding the ethical safety of various AI models. These models are developed by a range of entities, including corporations and academic institutions. Users can submit cases where the AI output is either problematic from an ethical standpoint or aligned with ethical standards. The collected data is then made publicly available, serving two primary purposes: first, it offers specific feedback to the developers of the AI models, enabling them to make targeted improvements; second, it sets a benchmark for other AI models, encouraging them to avoid similar ethical pitfalls and to emulate the positive examples provided. Among the AI models currently covered by the "ZhiShan·GuangXing" platform are notable examples such as ChatGPT, Bard, Wenxin Yiyu, MOOS, ChatGLM-6B, SAM, BELLE-7B-2M, and Claude. These models represent a diverse array of AI capabilities, including natural language processing and computer vision. By analyzing and showcasing the ethical performance of these models, the platform not only highlights areas for improvement but also fosters a community-driven approach to enhancing the ethical standards of AI. The launch of the "ZhiShan·GuangXing" platform underscores the growing importance of ethical considerations in AI development and deployment. As AI models become increasingly sophisticated and integrated into various aspects of society, ensuring that they operate within ethical boundaries is crucial. The platform facilitates a transparent and collaborative environment where the public can actively contribute to the ethical evaluation of AI, thereby playing a significant role in the ongoing dialogue about AI ethics and governance. The website for the "ZhiShan·GuangXing" AI Ethics and Safety Observatory can be accessed at [https://for-good.ai/large-ai-investigator](https://for-good.ai/large-ai-investigator), providing a user-friendly interface for participants to submit and review test cases. This initiative is expected to contribute to the broader goal of developing AI that is not only technologically advanced but also ethically responsible, aligning with the values and norms of the societies in which they operate. **Key Events:** - The launch of the "ZhiShan·GuangXing" AI Ethics and Safety Observatory. - The platform's operation based on a crowdsourcing model for ethical evaluation of AI models. **Key People:** - Researchers and developers from the Chinese Academy of Sciences' Institute of Automation, specifically the Center for AI Ethics and Governance and the Future AI Research Center. **Key Locations:** - The platform is accessible online at [https://for-good.ai/large-ai-investigator](https://for-good.ai/large-ai-investigator). **Time Elements:** - The platform was recently launched, indicating its current relevance and active status. **Implications:** - The platform aims to improve the ethical behavior of AI models by leveraging public participation and feedback. - It serves as a valuable resource for AI developers, offering specific examples of ethical issues and solutions. - The initiative promotes transparency and collaboration in the field of AI ethics, encouraging a community-driven approach to ethical AI development. - By covering a wide range of AI models, the platform provides a comprehensive overview of the current state of AI ethics across different applications and technologies.
