Citation
Never Neutral: Data, Equity, and How They Can Work Together

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Title:
Never Neutral: Data, Equity, and How They Can Work Together
Creator:
Colorado Teaching and Learning with Technology 2019 ( Conference )
Swauger, Shea ( Author, Primary )
Publication Date:

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Genre:
Conference Papers ( sobekcm )

Notes

Abstract:
Predictive analytics, machine learning, and facial recognition technology are being used everywhere. While data collection and analysis can inform us, their uncritical application has led to significant harm--and disproportionately towards marginalized people. Careless use can replicate social inequities and perpetuate discrimination as we will reveal in our presentation. How might we prompt institutions of higher education to examine their relationships with data and integrate equity-centered design principles into data-driven systems? Let’s discuss and look at how we can use data to further equity and social justice.
Acquisition:
Collected for Auraria Institutional Repository by the Self-Submittal tool. Submitted by Shea Swauger.

Record Information

Source Institution:
Auraria Institutional Repository
Holding Location:
Auraria Library
Rights Management:
Copyright [name of copyright holder or Creator or Publisher as appropriate]. Permission granted to University of Colorado Denver to digitize and display this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Resource Identifier:
10.25261/IR00000103 ( DOI )

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NEVER NEUTRAL: DATA, EQUITY, AND HOW THEY CAN WORK TOGETHER BY SHEA SWAUGER

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Hi. My name is Shea.

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OUTLINE 1. 2. Examine three data driven technologies: Artificial Intelligence/Machine Learning Predictive/Learning Analytics Facial Recognition Technology 3. Define implicit logic: Surveillance Capitalism Technological Solutionism Integration with law enforcement Data Neutrality/objectivity 4. Workshop Reflection prompts Discussion and writing

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OUTCOME Be able to critically examine data driven technologies with an equity based framework

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SHARED GOOGLE DOC https://bit.ly/2KwiBRK

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Data is a representation of power.

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Equity is the destruction of oppressive systems and the repair of the harm caused.

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DATA DRIVEN TECHNOLOGIES TO EXAMINE: 1. Artificial Intelligence & Machine Learning 2. Predictive/Learning Analytics 3. Facial Recognition Technology

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ARTIFICIAL INTELLIGENCE (AI) & MACHINE LEARNING (ML) A computer system that is fed large amounts of data, which it then uses to learn how to carry out a specific task.

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HOW AI/ML IS SOLD TO US

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AI/ML AND EQUITY

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PREDICTIVE/LEARNING ANALYTICS The use of historical data, statistical algorithms and machine learning techniques to identify the likelihood of future outcomes.

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HOW LEARNING ANALYTICS IS SOLD TO US

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LEARNING ANALYTICS AND EQUITY

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FACIAL RECOGNITION TECHNOLOGY Software to identify people by mapping their facial features and comparing that information with a database of faces.

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HOW FACIAL RECOGNITION IS SOLD TO US

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FACIAL RECOGNITION TECHNOLOGY AND EQUITY

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What is one thing you still have questions about? What is one thing that was surprising ? REFLECTION TIME! (1 MINUTE)

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OPERATING FRAMEWORKS 1. Surveillance Capitalism 2. Neoliberalism 3. Technological Solutionism 4. Integration with L aw E nforcement 5. Data Neutrality/Objectivity

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SURVEILLANCE CAPITALISM More data is better and smarter Personalization and automation is always desirable Used to sell products

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NEOLIBERALISM An economic philosophy that promotes Free market capitalism/deregulation Privatization Meritocracy Individualism

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TECHNOLOGICAL SOLUTIONISM The belief that technology can solve most problems, especially problems that are not technologically based.

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INTEGRATION WITH LAW ENFORCEMENT Policing Immigration (ICE) Military Prisons Criminal Justice

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DATA NEUTRALITY/OBJECTIVITY Myth: data is neutral or objective whereas people are subjective and biased Reality: data is biased and so are people

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DATA IS A REPRESENTATION OF POWER away millions of immigrants from filling out their mandatory surveys throwing off present in America determine congressional apportionment for the next decade, allocate federal funding for infrastructure, and serve as the basis for huge amounts of American

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DATA IS A REPRESENTATION OF POWER white, this new research

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Unless we are critical, data driven technology will reproduce and amplify historical discrimination and violence, and we will let it happen because we think cause violence.

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How we can critically examine data to further equity? How can we get our institutions to do the same? REFLECTION TIME! (1 MINUTE)

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DISCUSSION AND WRITING https://bit.ly/2KwiBRK

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Everything You Need To Know About Artificial Intelligence https:// www.zdnet.com/article/what is ai everything you need to know about artificial intelligence AI Has the Potential to Ease Campus Budget Burdens https:// edtechmagazine.com/higher/article/2019/07/ai has potential ease campus budget burdens https:// www.insidehighered.com/digital learning/views/2019/07/17/university leader%E2%80%99s glossary ai and machine learning Amazon scrapped 'sexist AI' tool https:// www.bbc.com/news/technology 45809919 Bad News: Artificial Intelligence Is Racist, Too https:// www.livescience.com/58675 artificial intelligence learns biases from human language.html Predictive Analytics: What it is and why it matters https:// www.sas.com/en_us/insights/analytics/predictive analytics.html Learning Analytics https:// library.educause.edu/topics/teaching and learning/learning analytics Big Data And The Problem Of Bias In Higher Education https://www.forbes.com/sites/audreymurrell/2019/05/30/big data and the problem of bias in higher education/# 5e36c2b45758 The Weaponization of Education Data http:// hackeducation.com/2017/12/11/top ed tech trends weaponized data What is Facial Recognition? How computers use face scan technology to identify users https:// www.lifewire.com/how does a computer recognize your face 4154178 Facial Recognition Software Regularly Misgenders Trans People https:// www.vice.com/en_us/article/7xnwed/facial recognition software regularly misgenders trans people CITATIONS

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https:// www.theverge.com/2019/1/25/18197137/amazon rekognition facial recognition bias race gender Surveillance Capitalism Zuboff , S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power (First ed.). New Y ork : Public Affairs. Neoliberalism https:// en.wikipedia.org/wiki/Neoliberalism Technological Solutionism Morozov , E. (2013). To save everything, click here: The folly of technological solutionism (First ed.). New York: Public Affairs. ICE hacked its algorithmic risk assessment tool so it recommended detention for everyone https:// boingboing.net/2018/06/26/software formalities.html https:// www.vox.com/future perfect/2019/8/7/20756928/trump el paso dayton mass shooting ai social media Killer robots: Scientists concerned over ethics of military AI https:// www.aljazeera.com/news/2019/03/killer robots scientists concerned ethics military ai 190329140107653.html Facial recognition tech trialled at prisons https:// www.govtechleaders.com/2019/03/12/facial recognition tech trialled at prisons Courts Are Using Ai To Sentence Criminals. That Must Stop Now https:// www.wired.com/2017/04/courts using ai sentence criminals must stop now The fight over the 2020 census citizenship question, explained https:// www.vox.com/policy and politics/2019/6/12/18663009/census citizenship question congress Genetics has learned a ton https:// www.vox.com/science and health/2018/10/22/17983568/dna tests precision medicine genetics gwas diversity all of us CITATIONS