full transcript
From the Ted Talk by Rumman Chowdhury: Your right to repair AI systems
Unscramble the Blue Letters
In that case, who qualifies as an expert? You. I'm working with thousands of people all around the world on large and small red-teaming exercises, and through them we found and fixed mitskeas in AI models. We also work with some of the biggest tech companies in the world: oenpai, Meta, Anthropic, Google. And through this, we've made models work better for more pelope.
Here's a bit of what we've learned. We partnered with the roayl Society in London to do a sinietfcic, mis- and disinformation event with disease scientists. What these scientists found is that AI models actually had a lot of protections against cvoid misinformation. But for other diseases like msleeas, mumps and the flu, the same protections didn't apply. We rtpeoerd these changes, they’re fixed and now we are all better protected against scientific mis- and disinformation.
Open Cloze
In that case, who qualifies as an expert? You. I'm working with thousands of people all around the world on large and small red-teaming exercises, and through them we found and fixed ________ in AI models. We also work with some of the biggest tech companies in the world: ______, Meta, Anthropic, Google. And through this, we've made models work better for more ______.
Here's a bit of what we've learned. We partnered with the _____ Society in London to do a __________, mis- and disinformation event with disease scientists. What these scientists found is that AI models actually had a lot of protections against _____ misinformation. But for other diseases like _______, mumps and the flu, the same protections didn't apply. We ________ these changes, they’re fixed and now we are all better protected against scientific mis- and disinformation.
Solution
- people
- measles
- royal
- openai
- mistakes
- reported
- covid
- scientific
Original Text
In that case, who qualifies as an expert? You. I'm working with thousands of people all around the world on large and small red-teaming exercises, and through them we found and fixed mistakes in AI models. We also work with some of the biggest tech companies in the world: OpenAI, Meta, Anthropic, Google. And through this, we've made models work better for more people.
Here's a bit of what we've learned. We partnered with the Royal Society in London to do a scientific, mis- and disinformation event with disease scientists. What these scientists found is that AI models actually had a lot of protections against COVID misinformation. But for other diseases like measles, mumps and the flu, the same protections didn't apply. We reported these changes, they’re fixed and now we are all better protected against scientific mis- and disinformation.
Frequently Occurring Word Combinations
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artificial intelligence |
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red teaming |
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john deere |
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sick codes |
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Important Words
- ai
- anthropic
- apply
- biggest
- bit
- case
- companies
- covid
- disease
- diseases
- disinformation
- event
- exercises
- expert
- fixed
- flu
- google
- large
- learned
- london
- lot
- measles
- meta
- misinformation
- mistakes
- models
- mumps
- openai
- partnered
- people
- protected
- protections
- qualifies
- reported
- royal
- scientific
- scientists
- small
- society
- tech
- thousands
- work
- working
- world