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an annual student-edited publication of the Dark Data seminar at Parsons School of Design
Vol. 5https://mfadt.parsons.edu/darkdata/2023/
Vol. 4https://mfadt.parsons.edu/darkdata/fall2022
Vol. 3https://mfadt.parsons.edu/darkdata/2022/
Vol. 2https://mfadt.parsons.edu/darkdata/2021
On Colonial Infrastructure and Reclaiming Data: Analyzing data extraction and the history of the internet through the lens of decolonial theory, this article explores tactics for a decolonial web through a case study of the Migrant Death Map. https://mfadt.parsons.edu/darkdata/2023/pages/articles/johann.html
The Decolonial Web? On Colonial Infrastructure and Reclaiming Data

Analyzing data extraction and the history of the internet through the lens of decolonial theory, this article explores tactics for a decolonial web through a case study of the Migrant Death Map.

For years, patients with embedded technology such as pacemakers and insulin pumps have been begging for an improvement in their data privacy and security. This fall in the USA, new regulations from the FDA have entered into force and they might affect patients and Elon Musk differently than you think. https://mfadt.parsons.edu/darkdata/2023/pages/articles/sidsel.html
Sharing Your Heartbeat?

For years patient’s with embedded technology such as pacemakers and insulin pumps have been begging for an improvement in their data privacy and security. This fall new regulations from the FDA have entered into force and they might affect patient's and Elon Musk differently than you think

Comparing how #sousveillance technologies operate across different scopes and intersect to develop an expansive web of paranoia. https://mfadt.parsons.edu/darkdata/2023/pages/articles/shravani.html
Entangled Gazes: Observing Ring and Citizen

Comparing how sousveillance technologies operate across different scopes and develop an expansive web of paranoia

Xiaohongshu小红书, a popular Chinese social media app, is a blend of Pinterest and Twitter, offering a platform for users to discover visual trends, share experiences, and purchase products. While the app provides a sense of visibility for underrepresented groups, it also reinforces harmful stereotypes and invisibility for those who do not fit into the Euro-centric and Han-centric gazes. https://mfadt.parsons.edu/darkdata/2023/pages/articles/alvin.html
Little Sweet Potato, Who Gets To Eat It?

Xiaohongshu, a popular Chinese social media app, is a blend of Pinterest and Twitter, offering a platform for users to discover visual trends, share experiences, and purchase products. While the app provides a sense of visibility for underrepresented groups, it also reinforces harmful stereotypes and invisibility for those who do not fit into the Euro-centric and Han-centric gazes.

Can simple design rules save us from AI’s harms? This piece analyzes the new Humane AI Pin as a designer-led grappling with technological uncertainty. https://mfadt.parsons.edu/darkdata/2023/pages/articles/max.html
Design Principles Can't Control AI.

The ten rules for good design by Dieter Rams have greatly influenced and guided the work of designers. Now, the AI company Humane Inc. proposes a set of similar rules to govern what they refer to as good AI. Can these 10 rules, originally conceived for design, effectively govern a new technology that has been described as both highly beneficial to humanity and potentially destructive?

“Each article is a deep dive into some of the topics we have explored this semester, including data collection and tracking, surveillance, digital power imbalances and the rise of artificial intelligence. The pieces scrutinize the intricate relationships between these themes, shedding light on the profound impact they have on privacy, security, and the ethical considerations surrounding data practices.” https://mfadt.parsons.edu/darkdata/2023/pages/editors.html
Letter from the Editor

The multitude of labels and the frequency at which new identifiers are introduced reveals important phenomena: how rapidly tech developments are being introduced and how quickly and unpredictably they affect the data landscape, how stark power imbalances have become between those who control the tech and those who consume it, and how divided our society has become. Alarmingly, the names we give to our time seem all too eager to leave the human behind. They are pessimistic—prioritizing the machine above the person, resting power with corporations over users, and emphasizing division instead of consensus.

Vol. 5 — Dark Data — Fall 2023
Presenting the annual student-edited & designed edition of essays and ideas emerging out of the PSAM 5752 seminar at Parsons taught by @profcarroll https://mfadt.parsons.edu/darkdata/2023/
Dark Data Zine: Fall 2023