03. Bias in AI

Essential Question: How does bias affect Artificial Intelligence?

Mastery Objectives:

• SWBAT identify the different ways that bias is inputted into Artificial Intelligence.

• SWBAT identify the various types of technology that needs to be modified so that Artificial Intelligence is more inclusive.

Do Now:  What are examples of bias in our lives?

Do Now 2: Read through the following article and look at the questions below. Which question really makes you think and why? Please write a paragraph (at least 5 sentences) (2 points for reflective response, 1 point for non-reflective response)

 https://enterprisersproject.com/article/2019/1/ai-bias-9-questions-leaders-should-ask?page=0 

• • Who is building the algorithms?
    
    

  • Do your AI & ML teams take responsibility for how their work will be used?
    
    

  • Who should lead an organization’s effort to identify bias in its AI systems?
    
    

  • How is my training data constructed?
    
    

  • Is the data set comprehensive?
    
    

  • Do you have multiple sources of data?

AI and Bias

* Fighting Bias in Algorithms - https://www.youtube.com/watch?v=UG_X_7g63rY&t=2s

* Can We Protect AI from our Biases? - https://www.youtube.com/watch?v=eV_tx4ngVT0 

Bias in AI - https://www.youtube.com/watch?v=BtgcuhQ0cks 

How to Keep Human Bias out of AI - https://youtu.be/BRRNeBKwvNM

Resources: https://research.aimultiple.com/ai-bias/ 

Directions: Using Google Slides or Google Jamboard, identify a bias in Artificial Intelligence by searching the Internet for studies or news articles and present the problem in 3-4 slides. Your presentation should identify the following:

• Description of the problem.

• Description of the reason why the problem came about.

• Description of the harmful effects of the bias.

• What should have been done to prevent the bias?

• Read through the following article and look at the questions below. What question below could have helped with the problem you selected if the developers asked the question before they created the technology? (AI - Artificial Intelligence, ML - Machine Learning) Why? https://enterprisersproject.com/article/2019/1/ai-bias-9-questions-leaders-should-ask?page=0 

  • Who is building the algorithms?

  • Do your AI & ML teams take responsibility for how their work will be used?

  • Who should lead an organization’s effort to identify bias in its AI systems?

  • How is my training data constructed?

  • Is the data set comprehensive?

  • Do you have multiple sources of data?

Resources: 

Racist code - Guardian article

People think girls don’t want to code - University of Washington News article + vid

Training machines to be racist - Wired video

Racial discrimination in AI - Harvard article

Racial discrimination in AI study - MIT News article

Racist AI machines - New York Times article

Bias in facial recognition - Khan Academy article

Different biases in AI - National Institute of Standards and Technology article + vid

Ableism in AI - Penn State article

Creating AI that isn’t ableist - MIT Technology Review article

Disability rights in AI - United Nations article

Anti-Muslim bias in AI - Stanford University Human-Centered Artificial Intelligence article

AI sending innocent people to jail - MIT Technology Review article

AI bias prevents early release for prisoners - NPR article

What is AI Ethics? - IBM Technology video