AI Bias and Human Prejudice

The video explores how artificial intelligence (AI) inherits biases from human language, as demonstrated by Joanna Bryson's experiment. By feeding a machine a vast amount of internet language, Bryson found that AI developed biases similar to those revealed by the Implicit Association Test, which measures unconscious human biases. This suggests that AI's biases are not solely due to the developers' backgrounds but are also a reflection of societal language patterns. The findings raise ethical questions about AI and highlight the need for diverse perspectives in AI development. The video concludes by suggesting that understanding AI's learning process can offer insights into human learning and bias formation.

What is the primary reason AI systems develop biases?

• AI systems are inherently biased.

• AI systems learn biases from human data.

• AI systems are programmed to be biased.

• AI systems cannot process unbiased data.

What was the main goal of Joanna Bryson's experiment?

• To show that AI can replace human decision-making.

• To prove that AI cannot develop biases.

• To demonstrate that AI is superior to human cognition.

• To see if machines can form biases from language patterns.

What does the Implicit Association Test (IAT) measure?

• Conscious beliefs and attitudes.

• Unconscious biases and associations.

• Explicit knowledge and skills.

• Cognitive abilities and intelligence.

Why has the Implicit Association Test been criticized?

• It requires too much time to complete.

• It is biased towards certain demographics.

• It cannot predict individual prejudiced behavior.

• It is too complex to administer.

What surprising result did Bryson find in her experiment?

• The machine was unable to process language data.

• The machine's bias closely matched the IAT results.

• The machine developed entirely new biases.

• The machine's bias did not match human biases.

What does Bryson suggest about how our brains process language?

• Our brains do not process language at all.

• Our brains process language randomly.

• Our brains process language like a computer.

• Our brains process language in a unique way.

What is a potential new explanation for human prejudice according to Bryson's findings?

• Prejudice is an innate human trait.

• Prejudice is transmitted through language exposure.

• Prejudice is only learned through direct experience.

• Prejudice is solely a result of cultural upbringing.

What does Bryson's research suggest about the source of AI bias?

• AI bias is an unavoidable aspect of technology.

• AI bias is solely a result of flawed algorithms.

• AI bias comes from the biased culture in data.

• AI bias is only due to the developers' backgrounds.

Why is having diverse developers not enough to make AI fair?

• Diverse developers are not interested in AI fairness.

• Diverse developers cannot change biased data.

• Diverse developers do not influence AI outcomes.

• Diverse developers cannot understand AI technology.

What does Bryson's research open the door for?

• More research on AI hardware development.

• More research on AI's economic impact.

• More research on AI bias and human learning.

• More research on AI capabilities.