- People
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- Nov 07, 2020
AI Quotes
Thinking machines, and what they mean for us.
These quotes range from careful notes that AI research shouldn't be discouraged or underfunded to bigger, more speculative ideas about building minds smarter than our own. One quote even highlights how deeply AI is now woven into a major tech company's operations, a theme also touched on in our Build quotes.
- Last Updated on May 30, 2021
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- Nov 07, 2020
Because Facebook can't exist without AI, it needs all its engineers to build with it.
- Build
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- Nov 07, 2020
We need to build EQ in our AI systems because, otherwise, they're not going to be as effective as they were designed to be.
- Nov 07, 2020
I grew up in the Middle East, and I worry that AI increases the socioeconomic divide as opposed to closing the gap.
- Problem
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- Nov 07, 2020
The real problem is not the existential threat of AI. Instead, it is in the development of ethical AI systems.
- I Am
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- Nov 07, 2020
As co-founder and CEO of an AI company, I am used to there not being many women in the room, especially in AI.
- Like
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- Nov 07, 2020
Governments like China and the United Arab Emirates are investing heavily in AI and see it as a competitive advantage.
- Emotion
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- Nov 07, 2020
Emotion AI uses massive amounts of data. In fact, Affectiva has built the world's largest emotion data repository.
- Potential
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- Nov 07, 2020
There are many valid concerns about AI, from its impact on jobs to its uses in autonomous weapons systems and even to the potential risk of superintelligence.
- Everything
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- Nov 07, 2020
If you believe everything you read, you are probably quite worried about the prospect of a superintelligent, killer AI.
- More
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- Nov 07, 2020
I'm trying to use AI to make the world a better place. To help scientists. To help us communicate more effectively with machines and collaborate with them.
- Need
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- Nov 07, 2020
Scientists need the infrastructure for scientific search to aid their research, and they need it to offer relevancy and ways to separate the wheat from the chaff - the useful from the noise - via AI-enabled algorithms. With AI, such an infrastructure would be able to identify the exact study a scientist needs from the tens of thousands on a topic.
- Nov 07, 2020