Difference between revisions of "LFI Course Materials 4/Week ten"

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=== Week 8: The Global Power of Big Tech Companies ===
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=== Week 10: AI and algorithms and privacy ===
* September 10th 9 - 11 Pacific/12 - 2 Eastern Zoom https://zoom.us/j/9129428892
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* Real time lecture: September 24th 9 - 11 Pacific/12 - 2 Eastern on Zoom https://zoom.us/j/9129428892
  
 
==== Overview ====
 
==== Overview ====
 
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Much is made of the coming artificially intelligent future, where automation takes away menial labor and self-driving electric cars get us off the internal combustion engine. But that fantasy ignores the reality of the AI infrastructures currently being built, infrastructures that exacerbate existing social problems and create whole new concerns. Artificial intelligence is built through enormous datasets, which are often created from the wealth of information collected about us without our consent. Processing all of this data is incredibly resource-intensive. Furthermore, lots of AI is used for even greater privacy-violating purposes, like facial recognition and predictive policing. This week, we're joined by Varoon Mathur, technology fellow at AI Now Institute, to talk about the privacy, labor, and ecological implications of artificial intelligence, how AI and related technologies are being used during the current crisis in what Naomi Klein has called the "screen new deal" to create a high-tech dystopia, what power players and political ideologies are at work to shape this reality, and what we can do to fight it.
list of big tech companies eg palantir
 
  
 
==== Readings ====
 
==== Readings ====
https://techcrunch.com/2020/06/05/uks-covid-19-health-data-contracts-with-google-and-palantir-finally-emerge/
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* Anatomy of an AI report and visualization of the data, labor, and ecological impacts of one Amazon Echo device from AI Now Institute: https://anatomyof.ai/
April Glaser readings
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* The far-right helped create the world's most powerful facial recognition technology: https://www.huffpost.com/entry/clearview-ai-facial-recognition-alt-right_n_5e7d028bc5b6cb08a92a5c48
* https://www.nytimes.com/2018/03/10/opinion/sunday/youtube-politics-radical.html
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* Palantir provides Covid-19 tracking software to CDC and NHS, pitches European health agencies: https://techcrunch.com/2020/04/01/palantir-coronavirus-cdc-nhs-gotham-foundry/
* https://jacobinmag.com/2018/06/google-project-maven-military-tech-workers
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* Defund facial recognition: https://www.theatlantic.com/technology/archive/2020/07/defund-facial-recognition/613771/
* http://www.uncomputing.org/wp-content/uploads/2014/02/commercial-trolling.feb2014.pdf
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* (Optional long read) Bad predictions: how civil rights violations impact police data, predictive policing systems, and justice https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3333423
* https://www.vice.com/en_us/article/59vex5/be-good-for-goodness-sake
 
How Amazon automatically tracks and fires warehouse workers for ‘productivity’
 
When the real threat is worker surveillance, not the robot apocalypse
 
The inequalities of workplace surveillance
 
Coronavirus is a labor crisis, and a general strike may be next
 
Workplace monitoring and surveillance (optional long read)
 
 
 
Should you buy an Amazon Ring doorbell? https://www.aclu.org/blog/privacy-technology/surveillance-technologies/should-you-buy-ring-doorbell-camera
 
Amazon Ring's police partnerships https://www.mic.com/p/amazon-rings-police-partnerships-the-focus-of-open-letter-from-36-civil-rights-groups-19197774
 
Amazon's Ring planned neighborhood watchlists based on facial recognition: https://theintercept.com/2019/11/26/amazon-ring-home-security-facial-recognition/
 
Ring's hidden data let us map Amazon's sprawling home surveillance network: https://gizmodo.com/ring-s-hidden-data-let-us-map-amazons-sprawling-home-su-1840312279
 
Leaked pics from Amazon Ring show potential new surveillance features https://arstechnica.com/tech-policy/2020/04/ring-cameras-may-someday-scan-license-plates-and-faces-leak-shows/
 
 
 
Why Facebook’s Latest Ban of Alex Jones Was So Underwhelming by April Glaser
 
Another 540 Million Facebook Users Data Has Been Exposed by April Glaser
 
15 Months of Fresh Hell Inside Facebook
 
Regulators Around the World Are Circling Facebook
 
YouTube’s Search Results for “Abortion” Show Exactly What Anti-Abortion Activists Want Women to See by April Glaser
 
Facebook while black: Users call it getting 'Zucked,' say talking about racism is censored as hate speech
 
Facebook Can't Clean Up Its Data Spill by April Glaser
 
Alex Jones Gets To Declare The Real Info War Now by April Glaser
 
It’s Not Enough to Fine Facebook. The Feds Should Fine Mark Zuckerberg. by April Glaser
 
  
 
==== Guest lecturer ====
 
==== Guest lecturer ====
Rob Larson, author of Bit Tyrants: The Political Economy of Silicon Valley
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Varoon Mathur, technology fellow at [https://ainowinstitute.org/ AI Now Institute]
  
 
==== Discussion ====
 
==== Discussion ====
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* Discuss the unique impacts AI has on labor, data privacy, and planetary resources.
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* What do you make of the multiple connections between the AI industry and individuals with reactionary politics?
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* How can we begin to address these issues? What are the implications for library programs and services? For example, we often assist our patrons who've just received holiday gadgets. How can we incorporate these critiques into those services? How can we broaden the critique so that we're not just telling people not to plug in their Echo device?
  
 
==== Tasks ====
 
==== Tasks ====
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* Lecture, discussion forum, final project checkins with Alison

Latest revision as of 13:22, 24 September 2020

Week 10: AI and algorithms and privacy[edit]

Overview[edit]

Much is made of the coming artificially intelligent future, where automation takes away menial labor and self-driving electric cars get us off the internal combustion engine. But that fantasy ignores the reality of the AI infrastructures currently being built, infrastructures that exacerbate existing social problems and create whole new concerns. Artificial intelligence is built through enormous datasets, which are often created from the wealth of information collected about us without our consent. Processing all of this data is incredibly resource-intensive. Furthermore, lots of AI is used for even greater privacy-violating purposes, like facial recognition and predictive policing. This week, we're joined by Varoon Mathur, technology fellow at AI Now Institute, to talk about the privacy, labor, and ecological implications of artificial intelligence, how AI and related technologies are being used during the current crisis in what Naomi Klein has called the "screen new deal" to create a high-tech dystopia, what power players and political ideologies are at work to shape this reality, and what we can do to fight it.

Readings[edit]

Guest lecturer[edit]

Varoon Mathur, technology fellow at AI Now Institute

Discussion[edit]

  • Discuss the unique impacts AI has on labor, data privacy, and planetary resources.
  • What do you make of the multiple connections between the AI industry and individuals with reactionary politics?
  • How can we begin to address these issues? What are the implications for library programs and services? For example, we often assist our patrons who've just received holiday gadgets. How can we incorporate these critiques into those services? How can we broaden the critique so that we're not just telling people not to plug in their Echo device?

Tasks[edit]

  • Lecture, discussion forum, final project checkins with Alison