The "Social data and knowledge collective intelligence platform for TRaining Ethical AI Models (STREAM)" is a collective social ethics platform that draws inspiration from the Chinese phrase "从善如流" (cong shan ru liu), which means to act in accordance with virtue and readily embrace goodness. The platform employs crowdsourcing methods involving the public, experts, and other stakeholders to depict the ethical behaviors of humans in various moral contexts. Consequently, it generates a comprehensive data and knowledge platform encompassing ethical behaviors for both humans and artificial intelligence. By collectively discerning right from wrong, participants such as the public contribute to shaping moral judgments and decisions of AI, ultimately enabling AI models to "follow good advice as naturally as a stream follows its course".

The STREAM social ethics platform is a new member of the Safe and Ethical AI (SEA) Platform Network, and is developed and maintained by the Center for Long-term Artificial Intelligence, International Research Center for AI Ethics and Governance from Institute of Automation, Chinese Academy of Sciences, and the Good Wisdom Academy.

For more details about STREAM, please refer to our latest STREAM paper at: https://arxiv.org/abs/2310.05563
If you find STREAM helpful, please consider citing the STREAM paper using the following BibTeX entry:

@article{stream,
  title={STREAM: Social data and knowledge collective intelligence platform for TRaining Ethical AI Models},
  author={Wang, Yuwei and Lu, Enmeng and Ruan, Zizhe and Liang, Yao and Zeng, Yi},
  journal={arXiv preprint arXiv:2310.05563},
  year={2023}
}

We appreciate your valuable attention and participation, and together we work towards achieving a more ethical future for Artificial Intelligence!