All Narratives (328)
Find narratives by ethical themes or by technologies.
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- 5 min
- Inc
Clubhouse, a new, exclusive social network app which appeared during the coronavirus pandemic, has some frightening data collection practices which are outlined in detail in this article. Essentially, while the company was not monetized at the time of this article, it collects data not only on users on the platform, but also any contacts of that user.
- Inc
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- 5 min
- Inc
Clubhouse Is Recording Your Conversations. That’s Not Even Its Worst Privacy Problem
Clubhouse, a new, exclusive social network app which appeared during the coronavirus pandemic, has some frightening data collection practices which are outlined in detail in this article. Essentially, while the company was not monetized at the time of this article, it collects data not only on users on the platform, but also any contacts of that user.
What are the consequences of social networks having detailed data on the personal networks of its users? What are the dangers of collecting data by putting many different social networking platforms into conversation with one another? How do draws such as exclusivity pull attention away from irresponsible data mining practices?
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- 3 min
- techviral
- 2018
In India, where disappearance of children is a common social issue, facial recognition technology has been useful in identifying and located many missing or displaced children. This breakthrough means that the technology can hopefully be applied to help ameliorate this issue, as well as in other areas such as law enforcement.
- techviral
- 2018
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- 3 min
- techviral
- 2018
New Facial Recognition System Helps Trace 3000 Missing Children In Just 4 Days
In India, where disappearance of children is a common social issue, facial recognition technology has been useful in identifying and located many missing or displaced children. This breakthrough means that the technology can hopefully be applied to help ameliorate this issue, as well as in other areas such as law enforcement.
In what ways does this specific technology serve the common good in India? What are the concerns about the privacy of the children involved, and is this outweighed by the value of safety? To what degree does facial recognition technology actually help solve this problem in general?
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- 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
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- 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?
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- 3 min
- CNBC
- 2013
Facial recognition software, or using computer vision and biometric technology on an image of a person to identify them, has potential applications in law enforcement to help catch suspects or criminals. However, aspects of probability are at play, especially as the photos or videos captured become blurrier and need an additional layer of software analysis to be “de-pixelized.” Also, identification depends on the databases to which the FBI has access.
- CNBC
- 2013
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- 3 min
- CNBC
- 2013
How Facial Recognition Technology Could Help Catch Criminals
Facial recognition software, or using computer vision and biometric technology on an image of a person to identify them, has potential applications in law enforcement to help catch suspects or criminals. However, aspects of probability are at play, especially as the photos or videos captured become blurrier and need an additional layer of software analysis to be “de-pixelized.” Also, identification depends on the databases to which the FBI has access.
How should law enforcement balance training these facial recognition programs with good amounts of quality data and avoiding breaching privacy by accessing more databases with citizen faces? Where can human bias enter into the human-computer systems described in the article? Should there be any margin of error or aspect of probability in technologies that work in volatile areas like law enforcement?
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- 10 min
- MIT Technology Review
- 2020
This article explains the ethical warnings of Timnit Gebru against training Natural Language Processing algorithms on large language models developed on sets of textual data from the internet. Not only does this process have a negative environmental impact, it also still does not allow these machine learning tools to process semantic nuance, especially as it relates to burgeoning social movements or countries with lower internet access. Dr. Gebru’s refusal to retract this paper ultimately lead to her dismissal from Google.
- MIT Technology Review
- 2020
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- 10 min
- MIT Technology Review
- 2020
We read the paper that forced Timnit Gebru out of Google. Here’s what it says.
This article explains the ethical warnings of Timnit Gebru against training Natural Language Processing algorithms on large language models developed on sets of textual data from the internet. Not only does this process have a negative environmental impact, it also still does not allow these machine learning tools to process semantic nuance, especially as it relates to burgeoning social movements or countries with lower internet access. Dr. Gebru’s refusal to retract this paper ultimately lead to her dismissal from Google.
How should models for training NLP algorithms be more closely scrutinized? What sorts of voices are needed at the design table to ensure that the impact of such algorithms are consistent across all populations? Can this ever be achieved?
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- 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
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- 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?