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Why are we drawn to technology to tackle complex human ... · • Bartha, Paul. ‘Analogy and...

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Why are we drawn to technology to tackle complex human issues? Why does it keep happening? David Lovell 3 July 2020
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Page 1: Why are we drawn to technology to tackle complex human ... · • Bartha, Paul. ‘Analogy and Analogical Reasoning’. In The Stanford Encyclopedia of Philosophy, edited by Edward

Why are we drawn to technology to tackle complex human issues?Why does it keep happening?David Lovell3 July 2020

Page 2: Why are we drawn to technology to tackle complex human ... · • Bartha, Paul. ‘Analogy and Analogical Reasoning’. In The Stanford Encyclopedia of Philosophy, edited by Edward
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NB: I have contacted the

authors for comment

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Page 5: Why are we drawn to technology to tackle complex human ... · • Bartha, Paul. ‘Analogy and Analogical Reasoning’. In The Stanford Encyclopedia of Philosophy, edited by Edward
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Source: https://callingbullshit.org/case_studies/case_study_criminal_machine_learning.html

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Why are we drawn to technologyto tackle complex human issues?

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Be mindful of:systems that encourage a narrow world-view

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• Research systems encourage us to develop deep disciplinary knowledge

• This has its risks…• Especially when specific knowledge has potential application outside its

discipline

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https://www.nytimes.com/2020/04/16/technology/rabbit-hole-podcast-kevin-roose.html

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Consider:Our limitations as thinkers• …and our capacity for critical thinking

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Steven Pinker:

• The main cause of incomprehensible proseis the difficulty of imagining what it’s like for someone elsenot to knowsomething that you know

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• The main cause of our incomprehension of othersis the difficulty of imagining how someone elsecan rationally see thingsdifferently to us

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Acknowledgements

• This has been brief, incomplete and imperfect• I acknowledge my ignorance• I gratefully acknowledge my colleagues in the Data Focused Decision

Making program, especially• Kellie Vella, Dimitri Perrin, Margot Brereton, Andrew Gibson,

Catarina Pinto Moreira, Feras Dayoub

• I appreciate the Centre for Data Science, the Carumba Institute and the Queensland Academy for Arts and Sciences for hosting this

• I welcome your input: [email protected]

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Sources• Bartha, Paul. ‘Analogy and Analogical Reasoning’. In The Stanford Encyclopedia of Philosophy, edited

by Edward N. Zalta, Spring 2019. Metaphysics Research Lab, Stanford University, 2019. https://plato.stanford.edu/archives/spr2019/entries/reasoning-analogy/.

• Biddle, Sam. ‘Troubling Study Says Artificial Intelligence Can Predict Who Will Be Criminals Based on Facial Features’. The Intercept (blog), 18 November 2016. https://theintercept.com/2016/11/18/troubling-study-says-artificial-intelligence-can-predict-who-will-be-criminals-based-on-facial-features/.

• ‘Case Study — Criminal Machine Learning’. Accessed 3 July 2020. https://callingbullshit.org/case_studies/case_study_criminal_machine_learning.html.

• Invisible Institute. ‘Citizens Police Data Project’. Accessed 3 July 2020. https://invisible.institute/police-data.

• ‘Microsoft Won’t Sell Police Its Facial-Recognition Technology, Following Similar Moves by Amazon and IBM’. Washington Post. Accessed 2 July 2020. https://www.washingtonpost.com/technology/2020/06/11/microsoft-facial-recognition/.

• Harrisburg University. ‘Facial Recognition Software Paper Not Being Published’, 5 May 2020. https://harrisburgu.edu/hu-facial-recognition-software-identifies-potential-criminals/.

• Hashemi, Mahdi, and Margeret Hall. ‘Retraction Note: Criminal Tendency Detection from Facial Images and the Gender Bias Effect’. Journal of Big Data 7, no. 1 (30 June 2020): 40. https://doi.org/10.1186/s40537-020-00323-8.

• Hill, Evan, Ainara Tiefenthäler, Christiaan Triebert, Drew Jordan, Haley Willis, and Robin Stein. ‘How George Floyd Was Killed in Police Custody’. The New York Times, 31 May 2020, sec. U.S. https://www.nytimes.com/2020/05/31/us/george-floyd-investigation.html.

• ‘HU Facial Recognition Software Predicts Criminality | Harrisburg University’, 6 May 2020. https://web.archive.org/web/20200506013352/https://harrisburgu.edu/hu-facial-recognition-software-identifies-potential-criminals/.

• THINKPolicy Blog. ‘IBM CEO’s Letter to Congress on Racial Justice Reform’, 8 June 2020. https://www.ibm.com/blogs/policy/facial-recognition-sunset-racial-justice-reforms/.

• MIT Technology Review. ‘Neural Network Learns to Identify Criminals by Their Faces’. Accessed 2 July 2020. https://www.technologyreview.com/2016/11/22/107128/neural-network-learns-to-identify-criminals-by-their-faces/.

• GitHub. ‘Qistudio/Ifn619’. Accessed 3 July 2020. https://github.com/qistudio/ifn619.

• Technology, Coalition for Critical. ‘Abolish the #TechToPrisonPipeline’. Medium, 29 June 2020. https://medium.com/@CoalitionForCriticalTechnology/abolish-the-techtoprisonpipeline-9b5b14366b16.

• MIT Technology Review. ‘The Activist Dismantling Racist Police Algorithms’. Accessed 3 July 2020. https://www.technologyreview.com/2020/06/05/1002709/the-activist-dismantling-racist-police-algorithms/.

• US Day One Blog. ‘We Are Implementing a One-Year Moratorium on Police Use of Rekognition’, 10 June 2020. https://blog.aboutamazon.com/policy/we-are-implementing-a-one-year-moratorium-on-police-use-of-rekognition.

• Norman, Donald A. The Design of Everyday Things. Revised and Expanded edition. New York, New York: Basic Books, 2013.

• Pinker, Steven. The Sense of Style: The Thinking Person’s Guide to Writing in the 21st Century! New York, New York: Viking, 2014.

• Wu, Xiaolin, and Xi Zhang. ‘Responses to Critiques on Machine Learning of Criminality Perceptions (Addendum of ArXiv:1611.04135)’. ArXiv:1611.04135 [Cs], 26 May 2017. http://arxiv.org/abs/1611.04135.


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