
The Social Implications of Machine Learning
Interactive Video
•
Business, Information Technology (IT), Architecture, Social Studies
•
University
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Practice Problem
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Hard
Wayground Content
FREE Resource
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10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a common example of bias in image search results?
Equal representation of genders in all professions
Overrepresentation of women in CEO roles
Overrepresentation of men in doctor roles
Equal representation of all races in all professions
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can AI systems in hiring processes perpetuate bias?
By matching candidates to existing employees
By ignoring past performance data
By using random selection methods
By focusing only on technical skills
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is automation bias?
The tendency to distrust machine outputs
The idea that humans are more accurate than machines
The belief that machines cannot detect patterns
The belief that machines are always correct
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is diversity important in AI development?
It limits the scope of AI applications
It ensures faster development of AI systems
It helps in reducing biases in AI systems
It increases the cost of AI development
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What was the issue with Google's image labeling system?
It labeled all animals as humans
It labeled all humans as animals
It labeled African Americans as gorillas
It labeled all images as landscapes
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is an algorithmic impact assessment?
A tool for measuring AI system performance
A method for assessing the environmental impact of AI
A framework for evaluating the social impact of algorithms
A process for improving AI system speed
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a major challenge in auditing AI systems?
High cost of auditing processes
Difficulty in accessing AI systems for review
Limited availability of trained auditors
Lack of interest from tech companies
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