Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast and Post):
- Why it is important to encounter failure in research: https://www.science.org/content/article/why-i-teach-my-students-about-scientific-failure What kinds of failure can researchers in AI encounter?
- Art generated by AI, based on stolen sources, is everywhere on Facebook and people are lapping it up: https://www.404media.co/facebook-is-being-overrun-with-stolen-ai-generated-images-that-people-think-are-real/
- There is a lot of opportunity in the New Zealand IT sector, but like a lot of the world, diversity is still lacking: https://www.nzherald.co.nz/kahu/david-downs-nzs-tech-industry-is-worth-over-17b-but-lacks-diversity/O4RRFFSP4ZEAREDO22HXZ5S7JM/
- The impact generative AI has already made on science: https://www.nature.com/articles/d41586-023-03930-6
- It is important to support people returning to research after taking time out to be parents: https://www.science.org/content/article/how-i-returned-academia-after-stepping-away-be-family
- The six big questions around generative AI: https://www.technologyreview.com/2023/12/19/1084505/generative-ai-artificial-intelligence-bias-jobs-copyright-misinformation/
- All the ways in which AI in general, and generative AI in particular, create liabilities for businesses: https://www.theregister.com/2023/12/21/artificial_intelligence_is_a_liability/
- How AI can help students transfer between institutions: https://www.insidehighered.com/opinion/blogs/beyond-transfer/2023/12/21/how-can-ai-help-transfer-let-us-count-ways
- Trends in AI that we will likely see in 2024: https://www.informationweek.com/machine-learning-ai/key-ai-trends-to-look-for-in-2024
- Kirin's AI for drink development: https://www.theregister.com/2023/12/19/kirin_ai_drink_development/ Bound to come up with some interesting mixtures.
- When you shamelessly scrape the entire internet for data to feed your AI, you shouldn't be surprised if that data contains some nasty stuff: https://www.theregister.com/2023/12/20/csam_laion_dataset/
- It seems that like most technologies that get rushed to market, large language model AI have issues with safety and reliability: https://www.datanami.com/2023/12/20/patronus-ai-finds-alarming-safety-gaps-in-leading-llms/
- The large language model AI bubble hasn't popped yet. It's going to be pretty messy when it does: https://www.datanami.com/2023/12/12/genai-hype-bubble-refuses-to-pop/
- An AI for interior design: https://dataconomy.com/2023/12/21/collov-ai-design-features-and-pricing/
- Data biases in AI have real-world legal consequences for companies that use them: https://www.informationweek.com/machine-learning-ai/ftc-prescribes-ban-on-rite-aid-s-ai-facial-recognition-use
- A good AI needs good data. That means capturing data at the edge not from the cloud: https://www.theregister.com/2023/12/08/what_are_you_feeding_your/
- This ruling makes it seem that if an AI attempts to claim to be an inventor, that will fail in a patent application. But if a person uses an AI as a tool to invent something, that will succeed? https://www.computerworld.com/article/3711782/uk-supreme-court-no-your-ai-can-t-hold-a-patent.html
- A high schooler's thoughts on the use of ChatGPT and generative AI in education: https://www.technologyreview.com/2023/04/14/1071194/chatgpt-ai-high-school-education-first-person/
- The best way to avoid bias in a generative AI is to tell it not to be biased? https://www.techrepublic.com/article/anthropic-claude-discrimination-bias-mitigation/
- The myths and realities of automating security with AI: https://www.kdnuggets.com/ai-automated-cybersecurity-what-to-automate
- More thoughts on AI governance and justice: https://www.datasciencecentral.com/ai-and-justice-in-a-brave-new-world-part-3-ai-governance/
- Want an AI to be a better driver? Make it scared. I'm sure there are many other applications of anxious AI as well: https://spectrum.ieee.org/autonomous-vehicle-safety-defensive-driving
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