They Don't See Me Either: Fighting the Bias of Artificial - - PowerPoint PPT Presentation

they don t see me either fighting the bias of artificial
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They Don't See Me Either: Fighting the Bias of Artificial - - PowerPoint PPT Presentation

They Don't See Me Either: Fighting the Bias of Artificial Intelligence Please fill out this survey while we wait to get started: http://bit.ly/poccai-survey Photo Credit: https://hrexecutive.com/in-the-fight-against-bias-ai-faces-backlash/


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They Don't See Me Either: Fighting the Bias of Artificial Intelligence

Please fill out this survey while we wait to get started: http://bit.ly/poccai-survey

Photo Credit: https://hrexecutive.com/in-the-fight-against-bias-ai-faces-backlash/

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They Don't See Me Either: Fighting the Bias of Artificial Intelligence

Daisy Steele, Director of Technology Matt Woodard, AV & Tech Support Specialist Catlin Gabel School, Portland, Oregon

Photo Credit: https://hrexecutive.com/in-the-fight-against-bias-ai-faces-backlash/

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Matt Woodard

A/V & Tech Support Specialist He/him/his

We’re not the experts

Daisy Steele

Technology Director She/her/hers

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Goals for Today’s Session

  • Understand what AI is and the disparate effects it has on different

groups of people.

  • Understand the scope and reach of AI and to realize its many

complexities.

  • Understand what we can do to combat bias in AI as educators
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“ ”

Artificial Intelligence -

The theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision- making, and translation between languages. ~Oxford English Dictionary

Examples of AI: Google Translate, Smart Cars including the Tesla, Social Media, Spotify, Netflix, Google or Apple Maps, the Nest Thermostat, Security and Surveillance.

Photo Credit: https://yourstory.com/mystory/the-future-artificial-intelligence-in-the-service--iakc2yo6a2

Definitions

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“ ”

Biometrics -

The measurement and analysis of unique physical or behavioral characteristics (such as fingerprint or voice patterns) especially as a means of verifying personal identity ~Merriam Webster Dictionary

Examples of biometrics: Apple’s FaceID, fingerprint scanners on smartphones, retinal scans

Photo Credit: https://medium.com/@WTTC/seven-ways-technology-is-changing-the-travel-industry-85cff79c1ece

Definitions, continued

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Examples of AI that Use Biometrics

Amazon “Rekognition” Facial Recognition software

  • Allows the user to scan video footage for facial matches. Very affordable and

available for public use. “Free” tier allows the user to scan 1,000 minutes of video per month. (more info here) Amazon Alexa

  • Amazon Echo devices recognize the voiceprint of the owner.

AI Trained to Spot Heart Disease Risks Using Retina Scans

  • https://arstechnica.com/science/2018/02/ai-trained-to-spot-heart-disease-risks-

using-retina-scan/

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What is the reach of AI?

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The Algorithms That Detect Hate Speech Online Are Biased Against Black People -Vox

Google using dubious tactics to target people with darker skin in facial recognition project -New York Daily News

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AI Demo

Microsoft Seeing AI app (https://www.microsoft.com/en-us/garage/wall-of-fame/seeing-ai/)

  • “A free app that narrates the world around you. Designed for the low vision

community, this research project harnesses the power of AI to describe people, text and objects” Verkada Security Camera Demo (https://www.verkada.com/)

  • Screencast by Justin (our network specialist)
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What Are Your Experiences with AI?

Negative Positive Neutral

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Let’s Learn Together

Links to all the articles can be found at:

bit.ly/poccai-info

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Articles - Discussion Questions

  • In a couple of sentences, summarize your article.
  • In what ways could the technology discussed in your selected

article affect people of a particular identity group?

  • How does the use of this technology amplify or perpetuate existing

stereotypes?

  • Why do you think that this technology has been designed in such a

way that is biased against a certain group or groups?

  • Where do you think the system failed in its design or approach?
  • What are potential strategies that could be used to reduce or

eliminate the bias in this technology and increase fairness?

bit.ly/poccai-info

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Share with Session Participants — Takeaways

Link to Google Doc for sharing (what ideas arose from your discussions)

bit.ly/poccai-share

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What strategies can we use to fight AI bias after we leave this room?

  • Safe Face Pledge: https://www.safefacepledge.org
  • Support bills such as the Algorithmic Accountability Act

https://www.congress.gov/bill/116th-congress/house-bill/2231

  • Support bans of AI where it is not developed enough to eliminate bias:

https://www.nytimes.com/2019/05/14/us/facial-recognition-ban-san-francisco.html https://mashable.com/article/second-us-city-ban-facial-recognition/

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What strategies can we use to fight AI bias after we leave this room? (cont.)

  • Discuss Responsible Principles of AI with your students

https://www.blog.google/technology/ai/responsible-ai-principles/

  • Example of standing up to surveillance technologies

https://www.aclu.org/blog/privacy-technology/surveillance- technologies/california-just-blocked-police-body-cam-use-face

  • Booker introduces bill banning facial recognition tech in public housing

https://thehill.com/policy/technology/468582-booker-introduces-bill- banning-facial-recognition-tech-in-public-housing

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What Ideas and Resources Do You Have to Fight Against Bias in AI?

Add your ideas and resources here:

bit.ly/poccai-ideas

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Closing Thoughts

  • Tools amplify our human abilities.
  • Powerful tools can be used to do good or to harm.
  • We must add our voices to the conversation
  • We must teach our students how to wield these tools responsibly

We We can use se these se tools s to...

“Amplify our intelligence to liberate, co-create, and thrive.”

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Resources

Articles: bit.ly/poccai-info Your takeaways: bit.ly/poccai-share Your ideas and resources: bit.ly/poccai-ideas

Attribution

Images from hrexecutive.com, yourstory.com, medium.com, freepik.com, rawpixel.com, pngio.com, pngkey.com, mckinsey.com

Slide deck

bit.ly/poccai-slides

Daisy Steele — steeled@catlin.edu Matt Woodard — woodardm@catlin.edu