write a 200 300 word discussion that includes

• Read the Weapons of Math Destruction Introduction and chapters 1-3 for the Week 10 assignment review class.
• Using a news item from the Algorithms Around Us assignment (OK to use the same news item that you used from the Annotated Bibliography):
  • Write a 200-300 word discussion that includes:
    • A 1-2 sentence summary of the news item
    • A brief discussion of one thing from the news item that exemplifies O’Neil’s discussion of scale (from the first chapter of Weapons of Math Destruction book).
    • A brief discussion of one thing from the news item that exemplifies O’Neil’s discussion of damages (from the first chapter of Weapons of Math Destruction book).
    • A brief discussion of one thing from the news item that exemplifies O’Neil’s discussion of transparency (from the first chapter of Weapons of Math Destruction book).
    • Be sure to explain your choices!
• Put a copy of your .doc or .docx file into the Canvas dropbox. Your IA will be choosing some examples for the class discussion from the submissions.
• Three class participation points for this assignment.

Choose one of the news items listed below to work on.

• AI generated text: Hern, A. (February 14, 2019). New AI fake text generator may be too dangerous to release, say creators. The Guardian. Retrieved from: https://www.theguardian.com/technology/2019/feb/14/elon-musk-backed-ai-writes-convincing-news-fiction (Links to an external site.)
• Character and AI: Hardy, Q. (July 26, 2015). Using Algorithms to Determine Character. The New York Times. Retrieved from: https://bits.blogs.nytimes.com/2015/07/26/using-algorithms-to-determine-character/ (Links to an external site.)
• College Admissions and AI: Allen, B. (August 27, 2019). College Board Drops Its ‘Adversity Score’ For Each Student After Backlash. National Public Radio. Retrieved from: https://www.npr.org/2019/08/27/754799550/college-board-drops-its-adversity-score-for-each-student-after-backlash (Links to an external site.)
• Content Moderation: Fussel, S. (March 21, 2019). Why the New Zealand Shooting Video Keeps Circulating. The Atlantic. Retrieved from: https://www.theatlantic.com/technology/archive/2019/03/facebook-youtube-new-zealand-tragedy-video/585418/ (Links to an external site.)
• Dating and AI: Tiffany, K. (March 18, 2019). The Tinder algorithm, explained. Vox. Retrieved from: https://www.vox.com/2019/2/7/18210998/tinder-algorithm-swiping-tips-dating-app-science (Links to an external site.)
• Debate and AI: Samuel, S. (February 12, 2019). An AI system competed against a human debate champion. Here’s what happened. Vox. Retrieved from: https://www.vox.com/future-perfect/2019/2/12/18222392/artificial-intelligence-debate-ibm-san-francisco (Links to an external site.)
• Driverless cars: Samuel, S. (March 6, 2019). A new study finds a potential risk with self-driving cars: failure to detect dark-skinned pedestrians. Vox. Retrieved from: https://www.vox.com/future-perfect/2019/3/5/18251924/self-driving-car-racial-bias-study-autonomous-vehicle-dark-skin (Links to an external site.)
• Education and surveillance: Beckett, L. (October 22, 2019). Under digital surveillance: how American schools spy on millions of kids. The Guardian. Retrieved from: https://www.theguardian.com/world/2019/oct/22/school-student-surveillance-bark-gaggle (Links to an external site.)
• Facial recognition: Canon, G. (February 15, 2019). How Taylor Swift showed us the scary future of facial recognition. The Guardian. Retrieved from: https://www.theguardian.com/technology/2019/feb/15/how-taylor-swift-showed-us-the-scary-future-of-facial-recognition (Links to an external site.)
• Fast food and machine learning: Yaffe-Bellany, D. (October 22, 2019). Would You Like Fries With That? McDonald’s Already Knows the Answer. The New York Times. Retrieved from: https://nyti.ms/2We5OZH (Links to an external site.)
• Gig economy: Ghaffary, S. (February 6, 2019). Gig economy tech companies like Instacart have been accused of tip theft. But the problem is bigger than that. Recode. Retrieved from: https://www.recode.net/2019/2/6/18213872/gig-economy-instacart-tip-theft-contract-workers (Links to an external site.)
• Human resources and AI: Irwin, N. (June 15, 2019). The Mystery of the Miserable Employees: How to Win in the Winner-Take-All Economy. The New York Times. Retrieved from: https://www.nytimes.com/2019/06/15/upshot/how-to-win-neil-irwin.html (Links to an external site.)
• Human sexuality and AI: Levin, S. (September 8, 2017). New AI can guess whether you’re gay or straight from a photograph. The Guardian. Retrieved from: https://www.theguardian.com/technology/2017/sep/07/new-artificial-intelligence-can-tell-whether-youre-gay-or-straight-from-a-photograph (Links to an external site.)
• Journalism and AI: Levin, S. (August 8, 2019). Revealed: how Monsanto’s ‘intelligence center’ targeted journalists and activists. The Guardian. Retrieved from: https://www.theguardian.com/business/2019/aug/07/monsanto-fusion-center-journalists-roundup-neil-young (Links to an external site.)
• Machine learning and civic resources: Madrigal, A. (January 3, 2019). How a Feel-Good AI Story Went Wrong in Flint. The Atlantic. Retrieved from: https://www.theatlantic.com/technology/archive/2019/01/how-machine-learning-found-flints-lead-pipes/578692/ (Links to an external site.)
• Medecine and algorithms: Lecher C. (October 24, 2019). A health care algorithm affecting millions is biased against black patients. The Verge. Retrieved from: https://www.theverge.com/2019/10/24/20929337/care-algorithm-study-race-bias-health (Links to an external site.)
• Misinformation: Kelley, L. (September 23, 2019). The Google Feature Magnifying Disinformation. The Atlantic. Retrieved from: https://www.theatlantic.com/technology/archive/2019/09/googles-knowledge-panels-are-magnifying-disinformation/598474/ (Links to an external site.)
• Predictive policing: Doctorow, C. (February 13, 2019). Beyond GIGO: how “predictive policing” launders racism, corruption and bias to make them seem empirical. Retrieved from: https://boingboing.net/2019/02/13/algorithmo-cop.html (Links to an external site.)
• Reading and AI: Paul, K. (February 3, 2020). ‘They know us better than we know ourselves’: How Amazon tracked my last two years of reading. The Guardian. Retrieved from: https://www.theguardian.com/technology/2020/feb/03/amazon-kindle-data-reading-tracking-privacy (Links to an external site.)
• Real Estate: Dezember, R. (March 5, 2019). Buyer Beware: Hollywood Special Effects Now Permeate Property Listings. Wall Street Journal. Retrieved from: https://www.wsj.com/articles/home-sellers-doctored… (link to article .pdf)
• Recidivism: Israni, E. (October 26, 2017). When an Algorithm Helps Send You to Prison. The New York Times. Retrieved from: https://www.nytimes.com/2017/10/26/opinion/algorithm-compas-sentencing-bias.html (Links to an external site.)
• Religion and Machine Learning: Samuel, S. (September 9, 2019). Robot priests can bless you, advise you, and even perform your funeral. Vox. Retrieved from: https://www.vox.com/future-perfect/2019/9/9/20851753/ai-religion-robot-priest-mindar-buddhism-christianity (Links to an external site.)
• Shopping and AI: Kwet, M. (June 14, 2019). In Stores, Secret Surveillance Tracks Your Every Move. The New York Times. Retrieved from: https://nyti.ms/2WI8bCy (Links to an external site.)
• Social impact uses of algorithms: Rosenburg, T. (February 12, 2019). Making an App to Make a Difference. New York Times. Retrieved from: https://www.nytimes.com/2019/02/12/opinion/start-ups-apps-social-impact.html?action=click&module=Opinion&pgtype=Homepage (Links to an external site.)
• Wildlife and AI: Temple-Raston, D. (October 25, 2019). Elephants Under Attack Have An Unlikely Ally: Artificial Intelligence. National Public Radio. Retrieved from: https://www.npr.org/2019/10/25/760487476/elephants-under-attack-have-an-unlikely-ally-artificial-intelligence (Links to an external site.)
• Workplace surveillance: Doctorow, C. (March 6, 2019). From prisons to factories to offices: the spread of workplace surveillance and monitoring tech. Retrieved from: https://boingboing.net/2019/03/06/robo-taylorism.html (Links to an external site.)

Read through the news item carefully and thoroughly, keeping an eye out for evidence related to O’Neil’s three components of “Weapons of Math Destruction” as discussed in chapter one.

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