full transcript
From the Ted Talk by Jennifer L. Eberhardt: How racial bias works -- and how to disrupt it
Unscramble the Blue Letters
Let me give you an example. Many people are familiar with the tech cpnomay Nextdoor. So, their whole purpose is to create stronger, healthier, safer neighborhoods. And so they offer this online space where neighbors can gtaehr and share information. Yet, Nextdoor soon found that they had a problem with racial pniiolrfg. In the typical case, people would look outside their wdoinw and see a black man in their otherwise white neighborhood and make the snap judgment that he was up to no good, even when there was no evidence of criminal wrongdoing. In many ways, how we behave online is a reflection of how we bhavee in the world. But what we don't want to do is cetare an easy-to-use system that can amplify bias and deepen rcaial disparities, rather than dismantling them.
Open Cloze
Let me give you an example. Many people are familiar with the tech _______ Nextdoor. So, their whole purpose is to create stronger, healthier, safer neighborhoods. And so they offer this online space where neighbors can ______ and share information. Yet, Nextdoor soon found that they had a problem with racial _________. In the typical case, people would look outside their ______ and see a black man in their otherwise white neighborhood and make the snap judgment that he was up to no good, even when there was no evidence of criminal wrongdoing. In many ways, how we behave online is a reflection of how we ______ in the world. But what we don't want to do is ______ an easy-to-use system that can amplify bias and deepen ______ disparities, rather than dismantling them.
Solution
- profiling
- company
- create
- racial
- gather
- window
- behave
Original Text
Let me give you an example. Many people are familiar with the tech company Nextdoor. So, their whole purpose is to create stronger, healthier, safer neighborhoods. And so they offer this online space where neighbors can gather and share information. Yet, Nextdoor soon found that they had a problem with racial profiling. In the typical case, people would look outside their window and see a black man in their otherwise white neighborhood and make the snap judgment that he was up to no good, even when there was no evidence of criminal wrongdoing. In many ways, how we behave online is a reflection of how we behave in the world. But what we don't want to do is create an easy-to-use system that can amplify bias and deepen racial disparities, rather than dismantling them.
Frequently Occurring Word Combinations
ngrams of length 2
collocation |
frequency |
racial profiling |
4 |
black people |
3 |
black student |
3 |
add friction |
3 |
police departments |
3 |
police officers |
2 |
student misbehaves |
2 |
curb racial |
2 |
asked users |
2 |
ngrams of length 3
collocation |
frequency |
black student misbehaves |
2 |
curb racial profiling |
2 |
Important Words
- amplify
- behave
- bias
- black
- case
- company
- create
- criminal
- deepen
- dismantling
- disparities
- evidence
- familiar
- gather
- give
- good
- healthier
- information
- judgment
- man
- neighborhood
- neighborhoods
- neighbors
- nextdoor
- offer
- online
- people
- problem
- profiling
- purpose
- racial
- reflection
- safer
- share
- snap
- space
- stronger
- system
- tech
- typical
- ways
- white
- window
- world
- wrongdoing