Themes (326)
Find narratives by ethical themes or by technologies.
FILTERreset filters-
- 5 min
- MIT Tech Review
- 2020
The Semantic Scholar is a new AI program which has been trained to read through scientific papers and provide a unique one sentence summary of the paper’s content. The AI has been trained with a large data set focused on learning how to process natural language and summarise it. The ultimate idea is to use technology to help learning and synthesis happen more quickly, especially for figure such as politicians.
- MIT Tech Review
- 2020
-
- 5 min
- MIT Tech Review
- 2020
AI Summarisation
The Semantic Scholar is a new AI program which has been trained to read through scientific papers and provide a unique one sentence summary of the paper’s content. The AI has been trained with a large data set focused on learning how to process natural language and summarise it. The ultimate idea is to use technology to help learning and synthesis happen more quickly, especially for figure such as politicians.
How might this technology cause people to become lazy readers? How does this technology, like many other digital technologies, shorten attention spans? How can it be ensured that algorithms like this do not leave out critical information?
-
- 7 min
- Wired
- 2020
As different levels of the U.S government have introduced and passed bills regulating or banning the use of facial recognition technologies, tech monopolies such as Amazon and IBM have become important lobbying agents in these conversations. It seems that most larger groups are on different pages in terms of how exactly face recognition algorithms should be limited or used, especially given their negative impacts on privacy when used for surveillance.
- Wired
- 2020
-
- 7 min
- Wired
- 2020
Congress Is Eyeing Face Recognition, and Companies Want a Say
As different levels of the U.S government have introduced and passed bills regulating or banning the use of facial recognition technologies, tech monopolies such as Amazon and IBM have become important lobbying agents in these conversations. It seems that most larger groups are on different pages in terms of how exactly face recognition algorithms should be limited or used, especially given their negative impacts on privacy when used for surveillance.
Can and should the private sector be regulated in its use of facial recognition technologies? How is it that tech monopolies might hold so much sway with government officials, and how can this be addressed? Do the benefits of facial recognition, such as convenience at the airport, listed at the end of the article make enough of a case against a complete ban of the technology, or do the bad applications ultimately outweigh the good ones? What would the ideal bill look like in terms of limiting or banning facial recognition?
-
- 5 min
- Kinolab
- 2013
Actress Robin Wright plays a fictionalized version of herself who traverses through both the real world and the mixed reality of Abrahama city in this narrative. As Miramount Studio animator Dylan explains to her, the rules of the mixed reality allow people to appear as an avatar which they please, editing their human features into more imaginative ones. With this capability, many people choose to remain in the mixed reality permanently, leaving the real world in a grim stupor.
- Kinolab
- 2013
-
- 5 min
- Kinolab
- 2013
Removed from Reality
Actress Robin Wright plays a fictionalized version of herself who traverses through both the real world and the mixed reality of Abrahama city in this narrative. As Miramount Studio animator Dylan explains to her, the rules of the mixed reality allow people to appear as an avatar which they please, editing their human features into more imaginative ones. With this capability, many people choose to remain in the mixed reality permanently, leaving the real world in a grim stupor.
Who has a responsibility to ensure that mixed and virtual realities are not tantalizing enough to absolve humans from the responsibility for caring for the real world? How can addiction to digital realities be ameliorated? What issues of identity and presentation to others arise from the capability to appear however one pleases? How is this empowering, and how is this dangerous?
The Congress: Everyone is What They Want to Be-
- 4 min
- Reuters
- 2020
Facebook has a new independent Oversight Board to help moderate content on the site, picking individual cases from the many presented to them where it is alright to remove content. The cases usually deal in hate speech, “inappropriate visuals,” or misinformation.
- Reuters
- 2020
-
- 4 min
- Reuters
- 2020
From hate speech to nudity, Facebook’s oversight board picks its first cases
Facebook has a new independent Oversight Board to help moderate content on the site, picking individual cases from the many presented to them where it is alright to remove content. The cases usually deal in hate speech, “inappropriate visuals,” or misinformation.
How much oversight do algorithms or networks with a broad impact need? Who all needs to be in a room when deciding what an algorithm or site should or should not allow? Can algorithms be designed to detect and remove hate speech? Should such an algorithm exist?
-
- 5 min
- ABC News
- 2020
The United States government is pushing its interest in breaking up the tech monopoly that is Facebook, hoping to restore some competition in the social networking and data selling market which the company dominates. Facebook, of course, is resistant to these efforts.
- ABC News
- 2020
-
- 5 min
- ABC News
- 2020
Facebook hit with antitrust lawsuit from FTC and 48 state attorneys general
The United States government is pushing its interest in breaking up the tech monopoly that is Facebook, hoping to restore some competition in the social networking and data selling market which the company dominates. Facebook, of course, is resistant to these efforts.
What role did data collection and use play in Facebook’s rise as a monopoly power? What would breaking up this monopoly accomplish? Will users achieve more data privacy if one large company does not own several platforms on which users communicate?
-
- 7 min
- MIT Technology Review
- 2020
This article details a new approach emerging in AI science; instead of using 16 bits to represent pieces of data which train an algorithm, a logarithmic scale can be used to reduce this number to four, which is more efficient in terms of time and energy. This may allow machine learning algorithms to be trained on smartphones, enhancing user privacy. Otherwise, this may not change much in the AI landscape, especially in terms of helping machine learning reach new horizons.
- MIT Technology Review
- 2020
-
- 7 min
- MIT Technology Review
- 2020
Tiny four-bit computers are now all you need to train AI
This article details a new approach emerging in AI science; instead of using 16 bits to represent pieces of data which train an algorithm, a logarithmic scale can be used to reduce this number to four, which is more efficient in terms of time and energy. This may allow machine learning algorithms to be trained on smartphones, enhancing user privacy. Otherwise, this may not change much in the AI landscape, especially in terms of helping machine learning reach new horizons.
Does more efficiency mean more data would be wanted or needed? Would that be a good thing, a bad thing, or potentially both?