All Narratives (317)
Find narratives by ethical themes or by technologies.
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- 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
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- 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?
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- 2 min
- Kinolab
- 2014
Allison’s unhealthy eating habits are reinforced with comments she receives online to the point where she refuses to eat with her family and follows online advice on how to resist hunger. The technology in this clip is the online forum which has the goal of perpetuating and starting unhealthy eating habits.
- Kinolab
- 2014
Social Networks and Societal Norms
Allison’s unhealthy eating habits are reinforced with comments she receives online to the point where she refuses to eat with her family and follows online advice on how to resist hunger. The technology in this clip is the online forum which has the goal of perpetuating and starting unhealthy eating habits.
How do social networks, and certain enclaves within these networks such as a blog site, set the societal norms in the digital age? How do these platforms perpetuate illusions of how people should look and act? Did social media create these problems, or simply exacerbate them?
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- 4 min
- Kinolab
- 1995
In this world, a human consciousness (“ghost”) can inhabit an artificial body (“shell”), thus at once becoming edited humans in a somewhat robotic body. Major, a security officer, sees how a garbage man is sad to know that his ghost has been hacked and filled with false memories of a family, and dives to set up her own reflections with self-identity developed later in the film, especially as she starts to believe that she may be entirely a cyborg with no knowledge of such an existence. Essentially, because the human body has become so thoroughly and regularly augmented with cybernetic parts and even computer brains, defining a real “human” becomes harder and harder.
- Kinolab
- 1995
Identity Through Memory and Data
In this world, a human consciousness (“ghost”) can inhabit an artificial body (“shell”), thus at once becoming edited humans in a somewhat robotic body. Major, a security officer, sees how a garbage man is sad to know that his ghost has been hacked and filled with false memories of a family, and dives to set up her own reflections with self-identity developed later in the film, especially as she starts to believe that she may be entirely a cyborg with no knowledge of such an existence. Essentially, because the human body has become so thoroughly and regularly augmented with cybernetic parts and even computer brains, defining a real “human” becomes harder and harder.
If robots develop to the point where they can question their own existence as human, does the line between robot and human truly matter? For what reason? Is questioning human existence a fundamentally human trait? Can fake memories contribute to an identity as much as real ones? Is this a dangerous concept, or might it have positive utility? Do you agree with the assessment that “all data is just fantasy,” or an inaccurate abstraction of real life? What kinds of data, then, make up the human identity?
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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
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?
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- 10 min
- Kinolab
- 1998
Truman, the result of an unwanted pregnancy, was the first baby to be legally adopted by a corporation. From this adoption, he grew up on the set of a reality TV show in a massive sound stage, completely unaware that he was constantly being filmed and watched by viewers all across the world. As an adult, he begins to suspect that something about his reality is very wrong, and confronts his wife about this perception. Sylvia, a love interest of Truman, affirms her stance that documenting Truman without his consent is an unethical form of entertainment since he has no agency. Ultimately, he is able to reclaim this agency by leaving the show’s set and joining the real world.
- Kinolab
- 1998
Celebrity Culture, Streaming Life, and Reality Television
Truman, the result of an unwanted pregnancy, was the first baby to be legally adopted by a corporation. From this adoption, he grew up on the set of a reality TV show in a massive sound stage, completely unaware that he was constantly being filmed and watched by viewers all across the world. As an adult, he begins to suspect that something about his reality is very wrong, and confronts his wife about this perception. Sylvia, a love interest of Truman, affirms her stance that documenting Truman without his consent is an unethical form of entertainment since he has no agency. Ultimately, he is able to reclaim this agency by leaving the show’s set and joining the real world.
How is Truman’s situation somewhat mirrored in today’s digital society? How have digital technologies, particularly video streaming, perpetuated a culture of filming and sharing everyday activities? Has society passed a point where it is possible for a person to give consent before they are surveilled or filmed for entertainment purposes? How does data streaming, specifically in areas such as reality TV or influencer cultures, change the perception of reality?
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- 8 min
- Kinolab
- 1984
Rotwang, a reclusive inventor, invents a robot to replace his love Hel whom he lost to Joh Frederson. He claims that it has everything it needs to replace her except for a soul. Joh Frederson takes advantage of the robot’s design as an artificial companion to imitate Maria’s likeness, essentially creating a copy of her. The purpose of this is to infiltrate the working class and use Maria, who the workers admire, as a tool to further Joh Frederson’s agenda to suppress a laborer’s manifestation. The workers have unknowlingly placed so much trust into the robot version of Maria that they refuse to listen to Grot as a fellow worker, destroying the Heart Machine as Joh intended.
- Kinolab
- 1984
Robotic Impostors
Rotwang, a reclusive inventor, invents a robot to replace his love Hel whom he lost to Joh Frederson. He claims that it has everything it needs to replace her except for a soul. Joh Frederson takes advantage of the robot’s design as an artificial companion to imitate Maria’s likeness, essentially creating a copy of her. The purpose of this is to infiltrate the working class and use Maria, who the workers admire, as a tool to further Joh Frederson’s agenda to suppress a laborer’s manifestation. The workers have unknowlingly placed so much trust into the robot version of Maria that they refuse to listen to Grot as a fellow worker, destroying the Heart Machine as Joh intended.
How can robots, even those without weapons, be used to stifle dissent and rebellion? What are the consequences to making robots in the likeness of loved ones or admirable figures? How can this be used to trick people without their knowledge? Should robots ever be able to imitate real people, especially if it is hard to give them a “soul”? What is a soul?
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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?