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/


  1. 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/

  2. 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/

  3. We’re not the experts Daisy Steele Matt Woodard Technology Director A/V & Tech Support Specialist She/her/hers He/him/his

  4. 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

  5. Definitions 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

  6. Definitions, continued 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

  7. 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/

  8. What is the reach of AI? H U D R u l e w o u l d p e b r a m s i i t c a l d a l i i l c s y o S c r r u i o m Y d i n n a a A I t a i n o l o r g n o d f o e b s y r a a i y B W t h s e w r m o e c N S n - t I S d i r l e e a r h C s t U e d . l c u o o m C m e i l o f c o t . r o P d a h i s d a e l M S - e t a n i m i r c s D i o t s k n a B Google using dubious tactics to target people with darker The Algorithms That Detect Hate Speech skin in facial recognition Online Are Biased Against Black People -Vox project -New York Daily News

  9. 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) ●

  10. What Are Your Experiences with AI? Negative Neutral Positive

  11. Let’s Learn Together Links to all the articles can be found at: bit.ly/poccai-info

  12. bit.ly/poccai-info 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?

  13. Share with Session Participants — Takeaways Link to Google Doc for sharing (what ideas arose from your discussions) bit.ly/poccai-share

  14. 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/

  15. 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

  16. What Ideas and Resources Do You Have to Fight Against Bias in AI? Add your ideas and resources here: bit.ly/poccai-ideas

  17. 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.”

  18. Daisy Steele — steeled@catlin.edu Matt Woodard — woodardm@catlin.edu Resources Articles: Your takeaways: Your ideas and resources: bit.ly/poccai-info bit.ly/poccai-share bit.ly/poccai-ideas Attribution Slide deck Images from hrexecutive.com, yourstory.com, medium.com, bit.ly/poccai-slides freepik.com, rawpixel.com, pngio.com, pngkey.com, mckinsey.com

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