full transcript
From the Ted Talk by Margaret Mitchell: How we can build AI to help humans, not hurt us
Unscramble the Blue Letters
I realized then that we had to think deeply about how the technology we work on today looks in five yares, in 10 years. Humans evlove swolly, with time to correct for issues in the interaction of humnas and their environment. In csoantrt, artificial intelligence is evolving at an incredibly fast rate. And that mneas that it really matters that we think about this carefully right now — that we reflect on our own blind spots, our own biases, and think about how that's informing the technology we're creating and discuss what the technology of today will mean for tomorrow.
CEOs and ssettniics have weighed in on what they think the artificial iinclglnetee technology of the future will be. Stephen Hawking warns that "Artificial intelligence could end mankind." Elon Musk warns that it's an existential risk and one of the greatest risks that we face as a civilization. Bill Gates has made the point, "I don't understand why people aren't more concerned." But these views — they're part of the stroy. The math, the models, the biasc bidiunlg blocks of artificial intelligence are something that we call acsecs and all work with. We have open-source tolos for mhniace learning and intelligence that we can contribute to. And beyond that, we can share our experience. We can share our experiences with technology and how it concerns us and how it excites us. We can discuss what we love. We can communicate with foresight about the aspects of technology that could be more beneficial or could be more pmlroaibtec over time.
Open Cloze
I realized then that we had to think deeply about how the technology we work on today looks in five _____, in 10 years. Humans ______ ______, with time to correct for issues in the interaction of ______ and their environment. In ________, artificial intelligence is evolving at an incredibly fast rate. And that _____ that it really matters that we think about this carefully right now — that we reflect on our own blind spots, our own biases, and think about how that's informing the technology we're creating and discuss what the technology of today will mean for tomorrow.
CEOs and __________ have weighed in on what they think the artificial ____________ technology of the future will be. Stephen Hawking warns that "Artificial intelligence could end mankind." Elon Musk warns that it's an existential risk and one of the greatest risks that we face as a civilization. Bill Gates has made the point, "I don't understand why people aren't more concerned." But these views — they're part of the _____. The math, the models, the _____ ________ blocks of artificial intelligence are something that we call ______ and all work with. We have open-source _____ for _______ learning and intelligence that we can contribute to. And beyond that, we can share our experience. We can share our experiences with technology and how it concerns us and how it excites us. We can discuss what we love. We can communicate with foresight about the aspects of technology that could be more beneficial or could be more ___________ over time.
Solution
- access
- tools
- problematic
- scientists
- evolve
- slowly
- years
- building
- basic
- contrast
- story
- means
- intelligence
- humans
- machine
Original Text
I realized then that we had to think deeply about how the technology we work on today looks in five years, in 10 years. Humans evolve slowly, with time to correct for issues in the interaction of humans and their environment. In contrast, artificial intelligence is evolving at an incredibly fast rate. And that means that it really matters that we think about this carefully right now — that we reflect on our own blind spots, our own biases, and think about how that's informing the technology we're creating and discuss what the technology of today will mean for tomorrow.
CEOs and scientists have weighed in on what they think the artificial intelligence technology of the future will be. Stephen Hawking warns that "Artificial intelligence could end mankind." Elon Musk warns that it's an existential risk and one of the greatest risks that we face as a civilization. Bill Gates has made the point, "I don't understand why people aren't more concerned." But these views — they're part of the story. The math, the models, the basic building blocks of artificial intelligence are something that we call access and all work with. We have open-source tools for machine learning and intelligence that we can contribute to. And beyond that, we can share our experience. We can share our experiences with technology and how it concerns us and how it excites us. We can discuss what we love. We can communicate with foresight about the aspects of technology that could be more beneficial or could be more problematic over time.
Frequently Occurring Word Combinations
ngrams of length 2
| collocation |
frequency |
| artificial intelligence |
6 |
| helping computers |
4 |
| positive images |
2 |
| blind spots |
2 |
| blind spot |
2 |
| helps people |
2 |
| technology built |
2 |
Important Words
- access
- artificial
- aspects
- basic
- beneficial
- biases
- bill
- blind
- blocks
- building
- call
- carefully
- ceos
- civilization
- communicate
- concerned
- concerns
- contrast
- contribute
- correct
- creating
- deeply
- discuss
- elon
- environment
- evolve
- evolving
- excites
- existential
- experience
- experiences
- face
- fast
- foresight
- future
- gates
- greatest
- hawking
- humans
- incredibly
- informing
- intelligence
- interaction
- issues
- learning
- love
- machine
- mankind
- math
- matters
- means
- models
- musk
- part
- people
- point
- problematic
- rate
- realized
- reflect
- risk
- risks
- scientists
- share
- slowly
- spots
- stephen
- story
- technology
- time
- today
- tomorrow
- tools
- understand
- views
- warns
- weighed
- work
- years