full transcript
From the Ted Talk by Mainak Mazumdar: How bad data keeps us from good AI
Unscramble the Blue Letters
AI could add 16 trillion dollars to the global economy in the next 10 years. This economy is not going to be built by billions of poelpe or moililns of factories, but by computers and ahrlimgtos. We have already seen anmiazg benefits of AI in simplifying tasks, bringing efficiencies and improving our lives. However, when it comes to fair and equitable policy decision-making, AI has not lievd up to its promise. AI is becoming a gkaeeteper to the economy, deciding who gets a job and who gets an access to a loan. AI is only rrifieconng and accelerating our bias at speed and scale with societal implications. So, is AI failing us? Are we designing these algorithms to deliver biased and wnorg decisions?
Open Cloze
AI could add 16 trillion dollars to the global economy in the next 10 years. This economy is not going to be built by billions of ______ or ________ of factories, but by computers and __________. We have already seen _______ benefits of AI in simplifying tasks, bringing efficiencies and improving our lives. However, when it comes to fair and equitable policy decision-making, AI has not _____ up to its promise. AI is becoming a __________ to the economy, deciding who gets a job and who gets an access to a loan. AI is only ___________ and accelerating our bias at speed and scale with societal implications. So, is AI failing us? Are we designing these algorithms to deliver biased and _____ decisions?
Solution
- millions
- wrong
- lived
- reinforcing
- people
- algorithms
- gatekeeper
- amazing
Original Text
AI could add 16 trillion dollars to the global economy in the next 10 years. This economy is not going to be built by billions of people or millions of factories, but by computers and algorithms. We have already seen amazing benefits of AI in simplifying tasks, bringing efficiencies and improving our lives. However, when it comes to fair and equitable policy decision-making, AI has not lived up to its promise. AI is becoming a gatekeeper to the economy, deciding who gets a job and who gets an access to a loan. AI is only reinforcing and accelerating our bias at speed and scale with societal implications. So, is AI failing us? Are we designing these algorithms to deliver biased and wrong decisions?
Frequently Occurring Word Combinations
ngrams of length 2
collocation |
frequency |
data quality |
3 |
data infrastructure |
3 |
biased data |
2 |
wrong decisions |
2 |
million people |
2 |
census data |
2 |
Important Words
- accelerating
- access
- add
- ai
- algorithms
- amazing
- benefits
- bias
- biased
- billions
- bringing
- built
- computers
- deciding
- decisions
- deliver
- designing
- dollars
- economy
- efficiencies
- equitable
- factories
- failing
- fair
- gatekeeper
- global
- implications
- improving
- job
- lived
- lives
- loan
- millions
- people
- policy
- promise
- reinforcing
- scale
- simplifying
- societal
- speed
- tasks
- trillion
- wrong
- years