Privacy (122)
Find narratives by ethical themes or by technologies.
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- 6 min
- Wired
- 2019
Spreading of harmful content through Youtube’s AI recommendation engine algorithm. AI helps create filter bubbles and echo chambers. Limited user agency to be exposed to certain content.
- Wired
- 2019
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- 6 min
- Wired
- 2019
The Toxic Potential of YouTube’s Feedback Loop
Spreading of harmful content through Youtube’s AI recommendation engine algorithm. AI helps create filter bubbles and echo chambers. Limited user agency to be exposed to certain content.
How much agency do we have over the content we are shown in our digital artifacts? Who decides this? How skeptical should we be of recommender systems?
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- 5 min
- Kinolab
- 1993
Jurassic Park is an under-review theme park where innovator John Hammond has managed to use computational genomics to revive the dinosaurs. The park is managed by a complex security system, involving an internet of things which connects security cameras, other monitors, and defense systems to the computers in the control room. Computer programmer Dennis Nedry, under command of a briber, uses malware to hack the computer systems and steal dinosaur DNA, turning the park into a very hostile environment for the scientists once the safety mechanisms fail.
- Kinolab
- 1993
Systems Errors in Entertainment Areas
Jurassic Park is an under-review theme park where innovator John Hammond has managed to use computational genomics to revive the dinosaurs. The park is managed by a complex security system, involving an internet of things which connects security cameras, other monitors, and defense systems to the computers in the control room. Computer programmer Dennis Nedry, under command of a briber, uses malware to hack the computer systems and steal dinosaur DNA, turning the park into a very hostile environment for the scientists once the safety mechanisms fail.
How can workplaces be protected against hacks from someone who works within said workplace? Should safety systems be under the control of a small number of people or computers? Should volatile environments, such as nuclear power plants or dinosaur parks, be trusted with a security system involving a hackable internet of things? What are the alternatives? Is convenience worth the cost in this case?
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- 5 min
- Gizmodo
- 2020
The data privacy of employees is at risk under a new “Productivity Score” program started by Microsoft, in which employers and administrators can use Microsoft 365 platforms to collect several metrics on their workers in order to “optimize productivity.” However, this approach causes unnecessary stress for workers, beginning a surveillance program in the workplace.
- Gizmodo
- 2020
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- 5 min
- Gizmodo
- 2020
Microsoft’s Creepy New ‘Productivity Score’ Gamifies Workplace Surveillance
The data privacy of employees is at risk under a new “Productivity Score” program started by Microsoft, in which employers and administrators can use Microsoft 365 platforms to collect several metrics on their workers in order to “optimize productivity.” However, this approach causes unnecessary stress for workers, beginning a surveillance program in the workplace.
How are excuses such as using data to “optimize productivity” employed to gather more data on people? How could such a goal be accomplished without the surveillance aspect? How does this approach not account for a diversity of working methods?
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- 35 min
- Wired
- 2021
In this podcast, interviewees share several narratives which discuss how certain technologies, especially digital photo albums, social media sites, and dating apps, can change the nature of relationships and memories. Once algorithms for certain sites have an idea of what a certain user may want to see, it can be hard for the user to change that idea, as the Pinterest wedding example demonstrates. When it comes to photos, emotional reactions can be hard or nearly impossible for a machine to predict. While dating apps do not necessarily make a profit by mining data, the Match monopoly of creating different types of dating niches through a variety of apps is cause for some concern.
- Wired
- 2021
How Tech Transformed How We Hook Up—and Break Up
In this podcast, interviewees share several narratives which discuss how certain technologies, especially digital photo albums, social media sites, and dating apps, can change the nature of relationships and memories. Once algorithms for certain sites have an idea of what a certain user may want to see, it can be hard for the user to change that idea, as the Pinterest wedding example demonstrates. When it comes to photos, emotional reactions can be hard or nearly impossible for a machine to predict. While dating apps do not necessarily make a profit by mining data, the Match monopoly of creating different types of dating niches through a variety of apps is cause for some concern.
How should algorithms determine what photos a specific user may want to see or be reminded of? Should machines be trusted with this task at all? Should users be able to take a more active role in curating their content in certain albums or sites, and would most users even want to do this? Does the existence of dating apps drastically change the nature of dating? How could creating a new application which introduces a new dating “niche” ultimately serve a tech monopoly?
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- 5 min
- Tech Crunch
- 2020
During Google’s attempt to merge with the company Fitbit, the NGO Amnesty International has provided warnings to the competition regulators in the EU that such a move would be detrimental to privacy. Based on Google’s historical malpractice with user data, since its status as a tech monopoly allows it to mine data from several different avenues of a user’s life, adding wearable health-based tech to this equation puts the privacy and rights of users at risk. Calls for scrunity of “surveillance capitalism” employed by tech giants.
- Tech Crunch
- 2020
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- 5 min
- Tech Crunch
- 2020
No Google-Fitbit merger without human rights remedies, says Amnesty to EU
During Google’s attempt to merge with the company Fitbit, the NGO Amnesty International has provided warnings to the competition regulators in the EU that such a move would be detrimental to privacy. Based on Google’s historical malpractice with user data, since its status as a tech monopoly allows it to mine data from several different avenues of a user’s life, adding wearable health-based tech to this equation puts the privacy and rights of users at risk. Calls for scrunity of “surveillance capitalism” employed by tech giants.
When considering how companies and advertisers may use them, what sorts of personal statistics related to health and well-being should and should not be collected by mobile computing devices? How can devices originally built to stand on their own as one technological artifact become more convenient or harmful to a user when they become part of a technological architecture?
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- 5 min
- Wired
- 2020
As means of preserving deceased loved ones digitally become more and more likely, it is critical to consider the implications of technologies which aim to replicate and capture the personality and traits of those who have passed. Not only might this change the natural process of grieving and healing, it may also have alarming consequences for the agency of the dead. For the corresponding Black Mirror episode discussed in the article, see the narratives “Martha and Ash Parts I and II.”
- Wired
- 2020
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- 5 min
- Wired
- 2020
The Ethics of Rebooting the Dead
As means of preserving deceased loved ones digitally become more and more likely, it is critical to consider the implications of technologies which aim to replicate and capture the personality and traits of those who have passed. Not only might this change the natural process of grieving and healing, it may also have alarming consequences for the agency of the dead. For the corresponding Black Mirror episode discussed in the article, see the narratives “Martha and Ash Parts I and II.”
Should anyone be allowed to use digital resurrection technologies if they feel it may better help them cope? With all the data points that exist for internet users in this day and age, is it easier to create versions of deceased people which are uncannily similar to their real identities? What would be missing from this abstraction? How is a person’s identity kept uniform or recognizable if they are digitally resurrected?