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

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==== 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.
  
 
==== Readings ====
 
==== Readings ====
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/
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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/
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
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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
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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* 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
  
https://www.theatlantic.com/technology/archive/2020/07/defund-facial-recognition/613771/
 
 
* this week talk about physical infra/carbon impact/why this is significant with AI/international impact/GND
 
 
==== Guest lecturer ====
 
==== Guest lecturer ====
Varoon Mathur, fellow at AI Now Institute  
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Varoon Mathur, technology fellow at [https://ainowinstitute.org/ AI Now Institute]
  
 
==== Discussion ====
 
==== Discussion ====
  
 
==== Tasks ====
 
==== Tasks ====

Revision as of 14:40, 18 September 2020

Week 10: AI and algorithms and 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'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

Guest lecturer

Varoon Mathur, technology fellow at AI Now Institute

Discussion

Tasks