Promotion of Human Values (161)
Find narratives by ethical themes or by technologies.
FILTERreset filters-
- 10 min
- Slate
- 2021
Using the tale of Art History Professor François-Marc Gagnon, whose video lectures were used to instruct students even after his death, this article raises questions about how technologies such as digital memory and data streaming for education in the time of coronavirus may ultimately undervalue the work of educators.
- Slate
- 2021
-
- 10 min
- Slate
- 2021
How a Dead Professor Is Teaching a University Art History Class
Using the tale of Art History Professor François-Marc Gagnon, whose video lectures were used to instruct students even after his death, this article raises questions about how technologies such as digital memory and data streaming for education in the time of coronavirus may ultimately undervalue the work of educators.
What are the largest possible detriments to automating teaching, both for students and for educators? If large amounts of data from a given course or discipline were used to train an AI to teach a course, what would such a program do well, and what aspects of education would be missed? How can educators have more personal control over the digital traces of their teaching? At what point might broader access to educational materials through digital networks actually harm certain groups of people?
-
- 5 min
- Gizmodo
- 2021
Thorough investigation led to the conclusion that bots played a role in the economic disruption of GameStop stocks in early 2021. Essentially, the automated accounts aided in the diffusion of materials promoting the purchase and maintenance of GameStop stocks as a ploy to act as a check on wealthy hedge fund managers who bet that the stock would crash. The wholistic effect of these bots in this specific campaign, and thus a measure of how bots may generally be used to cause economic disruption in online markets through interaction with humans, remains hard to read.
- Gizmodo
- 2021
-
- 5 min
- Gizmodo
- 2021
Bots Reportedly Helped Fuel GameStonks Hype on Facebook, Twitter, and Other Platforms
Thorough investigation led to the conclusion that bots played a role in the economic disruption of GameStop stocks in early 2021. Essentially, the automated accounts aided in the diffusion of materials promoting the purchase and maintenance of GameStop stocks as a ploy to act as a check on wealthy hedge fund managers who bet that the stock would crash. The wholistic effect of these bots in this specific campaign, and thus a measure of how bots may generally be used to cause economic disruption in online markets through interaction with humans, remains hard to read.
Do you consider this case study, and the use of the bots, to be “activism”? How can this case study be summarized into a general principle for how bots may manipulate the economy? How do digital technologies help both wealth and non-wealthy people serve their own interests?
-
- 7 min
- VentureBeat
- 2021
The GPT-3 Natural Language Processing model, created by the company open AI and released in 2020, is the most powerful of its kind, using a generalized approach to feed its machine learning algorithm in order to mirror human speech. The potential applications of such a powerful program are manifold, but this potential means that many tech monopolies may want to enter an “arms race” to get the most powerful model possible.
- VentureBeat
- 2021
-
- 7 min
- VentureBeat
- 2021
GPT-3: We’re at the very beginning of a new app ecosystem
The GPT-3 Natural Language Processing model, created by the company open AI and released in 2020, is the most powerful of its kind, using a generalized approach to feed its machine learning algorithm in order to mirror human speech. The potential applications of such a powerful program are manifold, but this potential means that many tech monopolies may want to enter an “arms race” to get the most powerful model possible.
Should AI be able to imitate human speech unchecked? Should humans be trained to be able to tell when speech or text might be produced by a machine? How might Natural Language Processing cheapen human writing and writing jobs?
-
- 2 min
- azfamily.com
- 2018
Facial recognition technology has found a new application: reuniting dogs with their owners. A simple machine learning algorithm takes a photo of a dog and crawls through a database of photos of dogs in shelters in hopes of finding a match.
- azfamily.com
- 2018
-
- 2 min
- azfamily.com
- 2018
Facial recognition technology now used in Phoenix area to locate lost dogs
Facial recognition technology has found a new application: reuniting dogs with their owners. A simple machine learning algorithm takes a photo of a dog and crawls through a database of photos of dogs in shelters in hopes of finding a match.
How could this beneficial use of recognition technology find even broader use?
-
- 5 min
- CNET
- 2019
Fight for the Future, a digital activist group, used Amazon’s Rekognition facial recognition software to scan faces on the street in Washington DC to show that there should be more guardrails on the use of this type of technology, before it is deployed for ends which violate human rights such as identifying peaceful protestors.
- CNET
- 2019
-
- 5 min
- CNET
- 2019
Demonstrators scan public faces in DC to show lack of facial recognition laws
Fight for the Future, a digital activist group, used Amazon’s Rekognition facial recognition software to scan faces on the street in Washington DC to show that there should be more guardrails on the use of this type of technology, before it is deployed for ends which violate human rights such as identifying peaceful protestors.
Does this kind of stunt seem effective at getting the attention of the public on the ways that facial recognition can be misused? How? Who decides what is a “positive” use of facial recognition technology, and how can these use cases be negotiated with those citizens who want their privacy protected?