datawhale vs fast.ai：怎么选？

Datawhale是一个专注于AI领域的开源学习组织，致力于为学习者构建纯粹、互助的成长社区。其核心功能包括提供系统化的机器学习、深度学习和编程课程，覆盖从基础数学到前沿技术的完整知识体系；同时组织开源项目实战与学习小组，鼓励成员通过协作完成真实任务，强化动手能力；此外还定期举办线上分享和竞赛活动，由社区资深成员引导讨论，帮助解决学习瓶颈。这款工具适合希望从零入门AI的学生、寻求技能提升的从业者，以及渴望参与开源协作的技术爱好者。无论是想系统学习AI理论、积累项目经验，还是寻找志同道合的伙伴共同攻克算法难题，Datawhale都能提供资源与支持。

关于 fast.ai

Following the thread of any seemingly quantitative issue in AI ethics (such as determining if software to rate loan applicants is racially biased or evaluating YouTube’s recommendation system) quickly leads to a host of qualitative questions. Unfortunately, there is often a large divide between computer scientists and social scientists, with over-simplified assumptions and fundamental misunderstandings of one another.

By using better masks, monitoring and improving indoor air quality, and rolling out rapid tests, we could quickly halt the current outbreaks in the Australian states of New South Wales (NSW) and Victoria. If we fail to do so, and open up before 80% of all Australians are vaccinated, we may have tens of thousands of deaths, and hundreds of thousands of children with chronic illness which could last for years.

As governments consider new uses of technology, in public places, this raises issues around surveillance of vulnerable populations, unintended consequences, and potential misuse. There are several principles to keep in mind in how these decisions can be made in a healthier and more responsible manner.