Privacy (136)
Find narratives by ethical themes or by technologies.
FILTERreset filters-
- 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
-
- 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?
-
- 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
-
- 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?
-
- 10 min
- The Washington Post
- 2019
After prolonged discussion on the effect of “bots,” or automated accounts on social networks, interfering with the electoral process in America in 2016, many worries surfaced that something similar could happen in 2020. This article details the shifts in strategy for using bots to manipulate political conversations online, from techniques like Inorganic Coordinated Activity or hashtag hijacking. Overall, some bot manipulation in political discourse is to be expected, but when used effectively these algorithmic tools still have to power to shape conversations to the will of their deployers.
- The Washington Post
- 2019
-
- 10 min
- The Washington Post
- 2019
Are ‘bots’ manipulating the 2020 conversation? Here’s what’s changed since 2016.
After prolonged discussion on the effect of “bots,” or automated accounts on social networks, interfering with the electoral process in America in 2016, many worries surfaced that something similar could happen in 2020. This article details the shifts in strategy for using bots to manipulate political conversations online, from techniques like Inorganic Coordinated Activity or hashtag hijacking. Overall, some bot manipulation in political discourse is to be expected, but when used effectively these algorithmic tools still have to power to shape conversations to the will of their deployers.
How are social media networks architectures that can be manipulated to an individual’s agenda, and how could this be addressed? Should any kind of bot accounts be allowed on Twitter, or do they all have too much negative potential to be trusted? What affordances of social networks allow bad actors to redirect the traffic of these networks? Is the problem of “trends” or “cascades” inherent to social media?
-
- 30 min
- UNIVERSITY OF WÜRZBURG GRADUATE SCHOOLS
- 1982
Hardware specialist Automatic Jack is roped into a dangerous hacking scheme with his partner Bobby Quine while they compete for the affections of Rikki. Their plan is to use deadly malware to infiltrate the protections of Chrome, a mysterious overlord of cyberspace who hoards massive amounts of wealth. They enact this plan by entering cyberspace within a program and visualizing the data held within this digital network which connects people all across the globe.
- UNIVERSITY OF WÜRZBURG GRADUATE SCHOOLS
- 1982
-
- 30 min
- UNIVERSITY OF WÜRZBURG GRADUATE SCHOOLS
- 1982
Cyberspace and Internet Imaginations: “Burning Chrome” by William Gibson
Hardware specialist Automatic Jack is roped into a dangerous hacking scheme with his partner Bobby Quine while they compete for the affections of Rikki. Their plan is to use deadly malware to infiltrate the protections of Chrome, a mysterious overlord of cyberspace who hoards massive amounts of wealth. They enact this plan by entering cyberspace within a program and visualizing the data held within this digital network which connects people all across the globe.
How can malware be used for good, and when should it be used for good? How do imaginations of the internet influence how people perceive this mysterious yet pervasive network? In what ways would making aspects of the internet into tangible images help people understand it better? How should the most powerful stakeholders in a given digital architecture be challenged? How might immersion into cyberspace give people more agency?
-
- 3 min
- CNN
- 2021
The prominence of social data on any given person afforded by digital artifacts, such as social media posts and text messages, can be used to train a new algorithm patented by Microsoft to create a chatbot meant to imitate that specific person. This technology has not been released, however, due to its harrowing ethical implications of impersonation and dissonance. For the Black Mirror episode referenced in the article, see the narratives “Martha and Ash Parts I and II.”
- CNN
- 2021
-
- 3 min
- CNN
- 2021
Microsoft patented a chatbot that would let you talk to dead people. It was too disturbing for production
The prominence of social data on any given person afforded by digital artifacts, such as social media posts and text messages, can be used to train a new algorithm patented by Microsoft to create a chatbot meant to imitate that specific person. This technology has not been released, however, due to its harrowing ethical implications of impersonation and dissonance. For the Black Mirror episode referenced in the article, see the narratives “Martha and Ash Parts I and II.”
How do humans control their identity when it can be replicated through machine learning? What sorts of quirks and mannerisms are unique to humans and cannot be replicated by an algorithm?
-
- 10 min
- The Washington Post
- 2021
The academic Philip Agre, a computer scientist by training, wrote several papers warning about the impacts of unfair AI and data barons after spending several years studying the humanities and realizing that these perspectives were missing from the field of computer science and artificial intelligence. These papers were published in the 1990s, long before the data-industrial complex and the normalization of algorithms in the everyday lives of citizens. Although he was an educated whistleblower, his predictions were ultimately ignored, the field of artificial intelligence remaining closed off from outside criticism.
- The Washington Post
- 2021
-
- 10 min
- The Washington Post
- 2021
He predicted the dark side of the Internet 30 years ago. Why did no one listen?
The academic Philip Agre, a computer scientist by training, wrote several papers warning about the impacts of unfair AI and data barons after spending several years studying the humanities and realizing that these perspectives were missing from the field of computer science and artificial intelligence. These papers were published in the 1990s, long before the data-industrial complex and the normalization of algorithms in the everyday lives of citizens. Although he was an educated whistleblower, his predictions were ultimately ignored, the field of artificial intelligence remaining closed off from outside criticism.
Why are humanities perspectives needed in computer science and artificial intelligence fields? What would it take for data barons and/or technology users to listen to the predictions and ethical concerns of whistleblowers?