Veritas – 一种检测日常内容偏见的工具

1作者: axisai4 个月前原帖
我们正在开发Veritas,这是一款旨在揭示书面内容中偏见的人工智能模型——涵盖学术论文、政策以及职场沟通等各个方面。我们的目标是让隐藏的假设和障碍变得可见,从而使决策更加清晰和公平。 我们刚刚在Kickstarter上发起了众筹,以资助下一阶段的工作,进入BETA测试阶段: https://www.kickstarter.com/projects/axis-veritas/veritas-the-bias-detection-tool-for-everyone 我们非常希望听到HN社区的看法:您认为这种模型有必要吗?您认为它在哪些方面最有用,我们应该注意避免哪些陷阱?
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We’re building Veritas, an AI model designed to uncover bias in written content — from academic papers and policies to workplace communications. The goal is to make hidden assumptions and barriers visible, so decisions can be made with more clarity and fairness.<p>We just launched on Kickstarter to fund the next phase as we move into BETA testing: https:&#x2F;&#x2F;www.kickstarter.com&#x2F;projects&#x2F;axis-veritas&#x2F;veritas-the-bias-detection-tool-for-everyone<p>Would love the HN community’s perspective: Do you see a need for this kind of model? Where do you think it could be most useful, and what pitfalls should we be careful to avoid?