All Narratives (328)
Find narratives by ethical themes or by technologies.
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- 10 min
- The New York Times
- 2021
This article tells the story of Chris Merkle, a former U.S Marine soldier who was able to work through former traumatic memories and PTSD using virtual realities similar to his lived experiences in war as a form of exposure therapy. As virtual reality sets become more affordable and commercialized, and as experts and universities develop more impressive virtual and augmented reality technologies, the opportunities for exposure therapy through VR technology become far more widespread, with the potential to help civilian disorders and traumas as well as those of veterans.
- The New York Times
- 2021
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- 10 min
- The New York Times
- 2021
Virtual Reality Aids in Exposure Therapy
This article tells the story of Chris Merkle, a former U.S Marine soldier who was able to work through former traumatic memories and PTSD using virtual realities similar to his lived experiences in war as a form of exposure therapy. As virtual reality sets become more affordable and commercialized, and as experts and universities develop more impressive virtual and augmented reality technologies, the opportunities for exposure therapy through VR technology become far more widespread, with the potential to help civilian disorders and traumas as well as those of veterans.
How can it be ensured that this type of therapy is accessible to all people? How can it be ensured that this type of therapy does not interfere with other forms of therapy or treatment? Should this become the norm for treating mental health disorders? How might this alter people’s perceptions of reality, for better or for worse?
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- 41 min
- The New York Times
- 2021
In this podcast episode, Ellen Pao, an early whistleblower on gender bias and racial discrimination in the tech industy, tells the story of her experience suing the venture capital firm Kleiner Perkins for gender discrimination. The episode then moves into a discussion of how Silicon Valley, and the tech industry more broadly, is dominated by white men who do not try to deeply understand or move toward racial or gender equity; instead, they focus on PR moves. Specifically, she reveals that social media companies and CEOs can be particularly performative when it comes to addressing racial or gender inequality, focusing on case studies rather than breeding a new, more fair culture.
- The New York Times
- 2021
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- 41 min
- The New York Times
- 2021
Sexism and Racism in Silicon Valley
In this podcast episode, Ellen Pao, an early whistleblower on gender bias and racial discrimination in the tech industy, tells the story of her experience suing the venture capital firm Kleiner Perkins for gender discrimination. The episode then moves into a discussion of how Silicon Valley, and the tech industry more broadly, is dominated by white men who do not try to deeply understand or move toward racial or gender equity; instead, they focus on PR moves. Specifically, she reveals that social media companies and CEOs can be particularly performative when it comes to addressing racial or gender inequality, focusing on case studies rather than breeding a new, more fair culture.
How did Silicon Valley and the technology industry come to be dominated by white men? How can this be addressed, and how can the culture change? How can social networks in particular be re-imagined to open up doors to more diverse leadership and workplace cultures?
Sway: Silicon Valley's Thin Skins and Giant Egos-
- 12 min
- Kinolab
- 1973
Simulacron is a virtual reality full of 10,000 simulated humans who believe themselves to be sentient, but are actually nothing more than programs. The identity units in Simulacron do not know or understand that they are artificial beings, and they behave under the idea that they are real humans. “Real” humans can enter this virtual reality through a brain-computer interface, and control the virtual identity units. Christopher Nobody, a suspect whom Fred is trying to track down, had the revelation that he was an identity unit, and that realization led to a mental breakdown. In following this case, Fred meets Einstein, a virtual unit who desires to join the real world. As Einstein enacts the final stages of this plan, Fred discovers a shocking secret about his own identity. For a similar concept, see the narrative “Online Dating Algorithms” on the Hang the DJ episode of Black Mirror.
- Kinolab
- 1973
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- 12 min
- Kinolab
- 1973
Simulated Humans and Virtual Realities
Simulacron is a virtual reality full of 10,000 simulated humans who believe themselves to be sentient, but are actually nothing more than programs. The identity units in Simulacron do not know or understand that they are artificial beings, and they behave under the idea that they are real humans. “Real” humans can enter this virtual reality through a brain-computer interface, and control the virtual identity units. Christopher Nobody, a suspect whom Fred is trying to track down, had the revelation that he was an identity unit, and that realization led to a mental breakdown. In following this case, Fred meets Einstein, a virtual unit who desires to join the real world. As Einstein enacts the final stages of this plan, Fred discovers a shocking secret about his own identity. For a similar concept, see the narrative “Online Dating Algorithms” on the Hang the DJ episode of Black Mirror.
What purposes can virtual reality “laboratories” full of simulated humans serve in terms of research in fields such as sociology? Is it justifiable to make programs which believe themselves to be sentient humans, yet deny them access to the “real world”? How can AI mental health be reassured, especially when it comes to existential crises like the one Fred has?
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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
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- 4 min
- 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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- 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
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- 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?
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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?