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=== Week 9: AI, face surveillance, consumer tech, health privacy ===
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=== Week 9: Artificial intelligence, health privacy ===
 
* Real time lecture: December 6th, 12 - 2 pm Pacific/3 - 5 pm Eastern on Zoom https://zoom.us/j/9129428892  
 
* Real time lecture: December 6th, 12 - 2 pm Pacific/3 - 5 pm Eastern on Zoom https://zoom.us/j/9129428892  
* Slides:
 
  
 
==== 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'll talk about AI in depth and efforts to oppose its worst excesses. We'll also talk about health and privacy, the connections between digital health and artificial intelligence, and patient privacy rights.
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==== Readings ====
 
==== Readings ====
 
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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/
https://gizmodo.com/how-google-ruined-the-internet-according-to-texas-1845902795
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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://chiefmartec.com/2020/04/marketing-technology-landscape-2020-martech-5000/
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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/
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* Defund facial recognition: https://www.theatlantic.com/technology/archive/2020/07/defund-facial-recognition/613771/
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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
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* (Video) Dr. Adrian Gropper on patient privacy issues and rights: https://vimeo.com/520441452
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* Notes and social media graphics from LFP's Health Privacy and Literacy in a Pandemic World series https://healthandprivacy.com/notes/  
  
 
==== Discussion ====
 
==== Discussion ====

Revision as of 17:33, 30 November 2021

Week 9: Artificial intelligence, health privacy

Overview

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'll talk about AI in depth and efforts to oppose its worst excesses. We'll also talk about health and privacy, the connections between digital health and artificial intelligence, and patient privacy rights.

Readings

Discussion

Link:

Tasks

  • Lecture, readings, discussion forum, and final project work