What do "bias" and "prejudice" mean in the context of artificial intelligence?

• Bias is when AI makes decisions without human input, while prejudice is the process of learning from mistakes.

• Bias is the preference for certain outcomes, and prejudice is the ability to predict future events accurately.

• Bias refers to disliking something without reason, while prejudice is forming opinions without all the facts.

• Bias is thenature of AI, and prejudice is its ability to adapt to different situations.

Who contributes to biases in artificial intelligence systems?

• Environmental factors during AI's development.

  
  

•  Random errors in the AI's algorithms.

  
  

• Biases come from the people who design and develop AI systems.

  
  

• • Biases are built into AI.

What does "prejudice" mean in AI?

• Making judgments based on all relevant facts.

  
  

•  Predicting future events without error.

  
  

• Forming opinions before having all the relevant facts.

  
  

• •  Learning from past experiences.

How can artificial intelligence systems be made less biased?

• By using larger information banks for training.

  
  

•  Limiting the AI's decision-making capabilities.

  
  

• Including different views in the development team.

  
  

• •  Programming AI to ignore all human input.

What role does data play in the creation of biases within AI systems?

• Data makes AI less biased.

• Data doesn't affect AI's biases.

• Data only changes how fast AI works.

• Data can cause AI to be biased if it's biased itself.

Why is it important to address biases in artificial intelligence?

• To ensure AI systems are more efficient.

  
  

•  Biases do not affect the performance of AI systems.

  
  

• Addressing biases promotes fairness and equality in AI outcomes.

  
  

• •  To make AI systems completely autonomous.

What is the difference between "data" and "information"?

• Information is raw facts and figures, and data is the interpretation of those facts.

• Data refers to raw, unprocessed facts and figures, while information is processed data that is meaningful and useful.

• Data is only used by computers, while information is used by humans.

• Data and information are just different terms for the same thing.