Crash Course Artificial Intelligence - Season 1 Episode 18 Algorithmic Bias and Fairness
Today, we're going to talk about five common types of algorithmic bias we should pay attention to: data that reflects existing biases, unbalanced classes in training data, data that doesn't capture the right value, data that is amplified by feedback loops, and malicious data. Now bias itself isn't necessarily a terrible thing, our brains often use it to take shortcuts by finding patterns, but bias can become a problem if we don't acknowledge exceptions to patterns or if we allow it to discriminate.
Year: 2019
Genre:
Country:
Studio:
Director:
Cast: Jabril Ashe
Crew: John Green (Executive Producer), Hank Green (Executive Producer)
First Air Date: Aug 09, 2019
Last Air date: Dec 27, 2019
Season: 1 Season
Episode: 20 Episode
Runtime: 26 minutes
IMDb: 0.00/10 by 0.00 users
Popularity: 0.346
Language: English
Keyword :
Episode
What Is Artificial Intelligence?
Supervised Learning
Neural Networks and Deep Learning
Training Neural Networks
How to make an AI read your handwriting (LAB)
Unsupervised Learning
Natural Language Processing
Make an AI sound like a YouTuber (LAB)
Reinforcement Learning
Symbolic AI
Robotics
AI Playing Games
Let's make an AI that destroys video games
Humans and AI working together
How YouTube knows what you should watch
Let’s make a movie recommendation system
Web Search
Algorithmic Bias and Fairness
Cats Vs Dogs? Let's make an AI to settle this
The Future of Artificial Intelligence
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