Quiz LibraryEthics & AI: Equal Access and Algorithmic Bias
Created from Youtube video: https://www.youtube.com/watch?v=tJQSyzBUAewvideo
Concepts covered:algorithmic bias, diverse perspectives, equitable access, marginalized groups, democratization of technology
The video discusses the significant impact of AI on various fields, emphasizing its potential to democratize technology and benefit society, while also highlighting the risks of algorithmic bias, particularly against marginalized groups. It stresses the importance of including diverse perspectives in AI development to ensure equitable access and mitigate harm to vulnerable populations.
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Ethics & AI: Equal Access and Algorithmic Bias
Concepts covered:algorithmic bias, diverse perspectives, equitable access, marginalized groups, democratization of technology
The video discusses the significant impact of AI on various fields, emphasizing its potential to democratize technology and benefit society, while also highlighting the risks of algorithmic bias, particularly against marginalized groups. It stresses the importance of including diverse perspectives in AI development to ensure equitable access and mitigate harm to vulnerable populations.
Question 1
AI can help equalize educational opportunities.
Question 2
What is crucial for developing less harmful AI?
Question 3
Machine learning's effectiveness relies on the quality of the _____.
Question 4
CASE STUDY: A healthcare startup is using AI to develop a new drug. They are concerned about potential biases in their data, which could affect the drug's effectiveness across different demographics.
Identify the incorrect AI application in healthcare.
Question 5
CASE STUDY: A tech company is designing a smartphone app that uses AI to assist users with daily tasks. They want to ensure the app benefits all users equally.
Select three correct strategies for equitable AI app design.
Question 6
Machine learning relies on the data it is fed.
Question 7
How can AI democratize technology access?
Question 8
To build less harmful AI, include perspectives of the most _____.
Question 9
CASE STUDY: A financial institution is developing an AI system to assess loan applications. They want to avoid racial biases in their decision-making process.
Identify the incorrect method to reduce AI bias.
Question 10
Diverse perspectives are crucial in AI development.
Question 11
How does machine learning risk bias amplification?
Question 12
AI's impact on society depends on how it is _____.

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