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MIT Technology Review 的每日科技简报，涵盖 AI 实验室收购倒闭初创公司数据用于训练、AI 助力的跨物种交流研究，以及月球基地建设的挑战。
本章介绍了翻译领域的数据伦理，讨论了版权、所有权和偏见等适用于各类数据的伦理问题，并特别关注少数语言社区和数字鸿沟两侧群体所面临的权力失衡问题，最后探讨了责任与监管。
Parents and children in Illinois and California are suing Meta for allegedly using their Facebook and Instagram photos without consent to train AI models and develop an unreleased face-recognition system, violating privacy laws.
An individual scraped all public art from the Cara platform, an anti-AI art community, and after facing backlash, is now collaborating with the platform's founder to develop an open-source tool to protect artists from AI scraping.
Amazon is purchasing and destroying rare books to scan them for AI model training data, raising ethical and data sourcing concerns in LLM development.
A comment arguing that LLMs rely on proprietary data often obtained without permission, framing it as stolen intellectual property.
Meta is accused of illegally downloading over 80 TB of books from LibGen, Anna's Archive, and Z-Library to train AI models. The article contrasts the case of Aaron Swartz, who faced severe charges for downloading a much smaller amount of papers, highlighting the double standard in copyright enforcement.