| Vol. 5 | https://mfadt.parsons.edu/darkdata/2023/ |
| Vol. 4 | https://mfadt.parsons.edu/darkdata/fall2022 |
| Vol. 3 | https://mfadt.parsons.edu/darkdata/2022/ |
| Vol. 2 | https://mfadt.parsons.edu/darkdata/2021 |
| Vol. 5 | https://mfadt.parsons.edu/darkdata/2023/ |
| Vol. 4 | https://mfadt.parsons.edu/darkdata/fall2022 |
| Vol. 3 | https://mfadt.parsons.edu/darkdata/2022/ |
| Vol. 2 | https://mfadt.parsons.edu/darkdata/2021 |
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
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.
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?
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.