How to avoid AI disasters

There are only 2 real instructions in ML/AI:
1) Optimize this goal…
2) …on this dataset.
That’s all. Now you can use two lines of human thought to automate your task (instead writing thousands or even millions of lines of instructions in traditional programming). This is beautiful - and scary!
To stay safe with AI and build responsibly, make sure you put extra care into thinking through your metrics and your data. This video explains.
Learn more on my blog:
bit.ly/quaesita_genie
bit.ly/quaesita_ethics
Related videos:
bit.ly/quaesita_ytethics
bit.ly/quaesita_ytethics2
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[@brain_respect_and_freedom]

You've highlighted an interesting perspective on people avoiding responsibility and how AI can serve as a powerful tool to explore our world. Encouraging the use of AI responsibly and recommending for example, books by Daniel Kahneman and Dan Ariely is a great idea for those interested in understanding human behavior and decision-making. It's important for us to approach AI with a sense of responsibility and rationality.

[@parrotraiser6541]

What's with Dutch subtitles? I couldn't hear her clearly, and I don't read Dutch.

[@astroimagers]

Great warnings! Especially when AI sounds so confident in their wrong answers... it's that hallucinating nightmare. We all had that coworker who got ahead with their looks, mimicry, and high EQ but we soon find out about their actual IQ. 😉

[@kunalchaudhary867]

My big sister say She looks like AI 😅😂😂

[@L.I.T.H.I.U.M]

On point. The postmodern problem Jordan Peterson keeps talking about.