Object Recognition (5)
Find narratives by ethical themes or by technologies.
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- 7 min
- Vice
- 2019
Programmer creates an application that uses neural networks to remove clothing from the images of women. Deepfake technology being used against women systematically, despite continued narrative that its use in the political realm is the most pressing issue.
- Vice
- 2019
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- 7 min
- Vice
- 2019
This Horrifying App Undresses a Photo of Any Woman With a Single Click
Programmer creates an application that uses neural networks to remove clothing from the images of women. Deepfake technology being used against women systematically, despite continued narrative that its use in the political realm is the most pressing issue.
How does technology enhance violation of sexual privacy? Who should regulate this technology, and how?
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- 5 min
- GIS Lounge
- 2019
GIS, a relatively new form of computational analysis, can often contain algorithms with biases based on biases present in the training data from open data sources, with this case study focusing on the tendency of power-line identification data being centered around the Western world. This problem can be improved by approaching data collection with more intentionality, either broadening the pool of collected geographic data or inputting artificial images to help the tool recognize a greater number of circumstances and thus become more accurate.
- GIS Lounge
- 2019
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- 5 min
- GIS Lounge
- 2019
When AI Goes Wrong in Spatial Reasoning
GIS, a relatively new form of computational analysis, can often contain algorithms with biases based on biases present in the training data from open data sources, with this case study focusing on the tendency of power-line identification data being centered around the Western world. This problem can be improved by approaching data collection with more intentionality, either broadening the pool of collected geographic data or inputting artificial images to help the tool recognize a greater number of circumstances and thus become more accurate.
What happens when the source of the data itself (the dataset) is biased? Can the ideas present in this article (namely the intentionally broadening of the training data pool and inclusion of composite data) find application beyond GIS?
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- 7 min
- The New York Times
- 2019
ICE, along with other law enforcement agencies, mined state driver’s license databases using facial recognition tech to track down undocumented immigrants and prosecute more cases.
- The New York Times
- 2019
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- 7 min
- The New York Times
- 2019
ICE Used Facial Recognition to Mine State Driver’s License Database
ICE, along with other law enforcement agencies, mined state driver’s license databases using facial recognition tech to track down undocumented immigrants and prosecute more cases.
What responsibility do DMVs across the country have to protect the privacy of citizens? What levels of bias (human and machine) are discussed in this story? Given that, can AI ever be unbiased in both functionality and use?
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- 3 min
- Kinolab
- 2009
In a distant future after the “Water War” in which much of the natural environment was destroyed and water has become scarce, Asha works as a curator at a museum which displays the former splendor of nature on Earth. She receives a mysterious soil sample which, after digital analysis using a object recognition to take data from the soil, surprisingly contains water.
- Kinolab
- 2009
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- 3 min
- Kinolab
- 2009
Digital Environment Analysis
In a distant future after the “Water War” in which much of the natural environment was destroyed and water has become scarce, Asha works as a curator at a museum which displays the former splendor of nature on Earth. She receives a mysterious soil sample which, after digital analysis using a object recognition to take data from the soil, surprisingly contains water.
How can technology be used to gather data on certain environments and aspects of an ecosystem to help them reach their full potential? How should this technology be made accessible to communities all across the world?
Pumzi: Soil Sample-
- 5 min
- MIT Tech Review
- 2020
With the surge of the coronavirus pandemic, the year 2020 became an important one in terms of new applications for deepfake technology. Although a primary concern of deepfakes is their ability to create convincing misinformation, this article describes other uses of deepfake which center more on entertaining, harmless creations.
- MIT Tech Review
- 2020
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- 5 min
- MIT Tech Review
- 2020
The Year Deepfakes Went Mainstream
With the surge of the coronavirus pandemic, the year 2020 became an important one in terms of new applications for deepfake technology. Although a primary concern of deepfakes is their ability to create convincing misinformation, this article describes other uses of deepfake which center more on entertaining, harmless creations.
Should deepfake technology be allowed to proliferate enough that users have to question the reality of everything they consume on digital platforms? Should users already approach digital media with such scrutiny? What is defined as a “harmless” use for deepfake technology? What is the danger posed to real people in the acting industry with the rise of convincing synthetic media?