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Dear friends,
In last week’s issue of The Batch, Yoshua Bengio, Alon Halevy, Douwe Kiela, Been Kim, and Reza Zadeh shared their hopes for AI in 2023. I also asked people on LinkedIn and Twitter about their hopes for AI this year. Rather than focusing on the latest buzzy topics in the news, many offered an amazing diversity of answers.
In addition to hopes for further technical advances, common themes include:
- Societal matters. Fairness, bias, and regulation are top concerns. Progress in responsible AI remains important, and with the rise of technologies like generative AI, we need new techniques to make them responsible as well. (For instance, how do we stop image generators from producing unwanted sexualized images of women?) Regulators worldwide are also struggling to keep up.
- Progress in application areas including agriculture, biology, climate change, healthcare, scientific discovery, and many more. It feels like the number of applications still outstrips the number of people we have! I'm glad the AI community continues to grow.
- More open sharing and open source. Many people appreciate the open sharing of ideas and code and hope it continues. With respect to open source, personally, I hope that teams will release code under licenses approved by the Open Source Initiative, which permit broad use, rather than more restrictive licenses.
- Training in AI and data literacy for many more people. AI capabilities and the availability of data are rising rapidly, so the potential for value creation via AI and data science grows every year. But most of the world is able to access this value only through systems built by someone else, usually a large tech company. Better training will enable people to solve a wider variety of problems, enriching society.
- Personal growth including learning more and/or finding a job. Many individuals want to keep learning, advance their skills, and build a career. The opportunities are out there, so I’m glad that so many of us are working to better ourselves to meet the opportunities!
That we all have so many different dreams for AI is a sign of how large our community has become and the broad footprint of our impact. It also means more fun technologies to learn about and more people we can learn from and collaborate with.
I found the comments inspiring and am grateful to everyone who responded. If you’re looking for AI inspiration, take a look at the discussion and perhaps you’ll find ideas that are useful in your work. If you find the variety of comments overwhelming, consider writing software that clusters them into topics and share your results with me!
Keep learning!
Andrew
<hr/>亲爱的朋友们：
在上一期The Batch中，Yoshua Bengio, Alon Halevy, Douwe Kiela, Been Kim和Reza Zadeh分享了他们对于2023年人工智能的期许。我也在社交媒体上上询问了人们对今年人工智能的期待。除了新闻里的热门话题外，人们还给出了许多令人惊叹的答案。
除了寄希望于持续的技术进步之外，共同关注点还包括：
● 社会问题。公平、偏见和监管仍是首要问题。在负责任的人工智能方面取得进展依然重要，随着生成式人工智能等技术的兴起，我们需要新的技术来使其更负责任。（例如，我们要如何阻止图像生成器生成不想要的女性不雅图像？）全球监管机构也在努力跟上。
● 应用领域的进展，包括农业、生物、气候变化、医疗保健、科学发现等。应用程序的数量好像仍然超过了我们的总人数！我很高兴人工智能社群能持续发展。
● 更开放的共享和开源。许多人赞赏思想和代码的开放共享，并希望这种共享能够持续下去。就开源而言，我希望各个团队能够根据Open Source Initiative批准的许可证发布代码，该许可证允许对代码进行更广泛的使用。
● 为更多人提供人工智能和数据素养培训。人工智能的能力和数据可用性正在快速提升，因此通过人工智能和数据科学创造价值的潜力每年都在增长。但世界上的大多数人只能通过其他人（通常是大型科技公司）构建的系统来获取这一价值。更好的培训将使人们有能力解决更广泛的问题，并回馈社会。
● 个人成长，包括学习更多知识和/或找到工作。许多人都希望继续深造，提高技能并建立自己的职业生涯。机会就在那里，所以我很高兴我们中的很多人都在努力提高自己，做好准备迎接机会！
我们对人工智能有如此多不同的梦想，这意味着我们的社群在不断壮大，影响力也不断提升。这也意味着我们要学习更多有趣的技术，我们可以向更多的人学习并寻求合作。
我感谢每一位给予回应的人，这些评论很有启发性。如果你正在寻找人工智能的灵感，不妨看看社交媒体上的讨论，也许你会发现对工作有用的想法。如果你发现各种各样的评论过于庞杂，也可以考虑编写一个软件，将它们按主题进行分类，并与我分享你的结果！
请不断学习！
吴恩达 |
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发表于 2023-1-8 11:04:18