The Dangers of Surveillance

By Neil M. Richards. 2013

Subfields: AI Ethics, Fairness & Society, Social Sciences & Humanities

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In AI Ethics, Fairness & Society

1. Ali Farhadi
2. Yejin Choi
3. Rowan Zellers

In Social Sciences & Humanities

1. Ali Farhadi
2. Yejin Choi
3. Ximing Lu

Citations in the corpus

• MERLOT: Multimodal Neural Script Knowledge Models (2021, background): “The video QA tasks that we studied carry risk of dual use, through possible downstream applications like surveillance [80, 116].”
• Big other: surveillance capitalism and the prospects of an information civilization (2015, unknown): “…concerns associated with the anti-democratic implications of the concentration of privacy rights among private and public surveillance actors (Schwartz, 1989; Solove, 2007; Michaels, 2008; Palfrey, 2008; Semitsu, 2011; Richards, 2013; Calo, 2014; Reidenberg, 2014; Richards and King, 2014).”
• Self-driving cars and data collection: Privacy perceptions of networked autonomous vehicles (2017, background): “The chilling effects of such surveillance and related dangers of ubiquitous data collection are well documented in privacy and security literature [39].”