The Panoptic Sort: A Political Economy of Personal Information, by Oscar H. Gandy, Jr. – Book Review

graphic of a human eye surrounded by digital data

The academic field of surveillance studies has (thankfully in my view) become more crowded during the past few years in response to the increasing use of data technologies for social control. In the early 1990s, when some of us (e.g. me) were naively celebrating the liberating potential of the internet, Oscar H. Gandy, Jr. was critically examining earlier incarnations of data systems and practices that contributed to the entrenchment of existing systems of domination and social injustice. First published in 1993, his book The Panoptic Sort was a groundbreaking account of the history and rationalization of surveillance in service of institutional control and corporate profit at the expense of individual privacy and autonomy. In the a second edition, published by Oxford University press in 2021, Gandy updates his original book for the context of today’s increasingly ubiquitous technologies that collect, process, and commodify personal information for instrumental use by corporate interests.

The Application of Artificial Intelligence to Journalism: An Analysis of Academic Production – Annotation & Notes

This paper presents a summary of academic research on AI use in journalism, based on the authors’ review of 358 texts published between 2010 and January 2021. The materials they reviewed were found through academic databases including Scopus and Web of Science, in addition to Google Scholar. Most of the articles were published in English, and the majority was from the United States. Given significant developments with AI, and AI in journalism, since 2021, this paper is really a snapshot of research published for the period covered. The authors do note a rapid increase in research until 2019, with a dropoff in 2020 presumably from disruptions of the COVID-19 pandemic.

The GDPR and (not) Regulating the Internet of Things

GDPR graphic

The European Union’s General Data Protection Regulation (GDPR) has been described as a “gold standard” for protecting personal privacy in the Internet age. Among its core principles is a requirement for the consent of individuals to the collection and processing of their personal data. Consent must be freely given, specific, informed, and unambiguous. Based on the language of the GDPR and an extensive literature review, I argue here that the possibility of such consent is undermined by increasingly ubiquitous Internet of Things (IoT) devices which collect a vast array of personal data, and the use of automated data processing that can produce significant social and legal impacts on individuals and groups. I outline the requirements of consent under the GDPR, and describe the challenges to the GDPR’s privacy protection principles in a world of rapidly evolving IoT technologies.