Technologies (319)
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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- 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
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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- 5 min
- ZDNet
- 2020
In recent municipal elections in Brazil, the software and hardware of a machine learning technology provided by Oracle failed to properly do its job in counting the votes. This ultimately led to a delay in the results, as the AI had not been properly calibrated beforehand.
- ZDNet
- 2020
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- 5 min
- ZDNet
- 2020
AI Failure in Elections
In recent municipal elections in Brazil, the software and hardware of a machine learning technology provided by Oracle failed to properly do its job in counting the votes. This ultimately led to a delay in the results, as the AI had not been properly calibrated beforehand.
Who had responsibility to fully test and calibrate this AI before it was used for an election? What sorts of more dire consequences could result from a failure of AI to properly count votes? What are the implications of an American tech monopoly providing this faulty technology to another country’s elections?
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- 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
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- 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?
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- 7 min
- Wired
- 2020
After student members of the University of Miami Employee Student Alliance held a protest on campus, the University of Miami Police Department likely used facial recognition technology in conjunction with video surveillance cameras to track down nine students from the protest and summon them to a meeting with the dean. This incident provided a gateway into the discussion of fairness of facial recognition programs, and how students believe that they should not be deployed on college campuses.
- Wired
- 2020
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- 7 min
- Wired
- 2020
Facial Recognition Applications on College Campuses
After student members of the University of Miami Employee Student Alliance held a protest on campus, the University of Miami Police Department likely used facial recognition technology in conjunction with video surveillance cameras to track down nine students from the protest and summon them to a meeting with the dean. This incident provided a gateway into the discussion of fairness of facial recognition programs, and how students believe that they should not be deployed on college campuses.
How can facial recognition algorithms interfere with the right of people to protest? When it comes to facial recognition databases, are larger photo repositories better or worse? Does facial recognition and video surveillance have a place on college campuses? How does facial recognition and video surveillance embolden people in power in general?
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- 5 min
- Vice
- 2020
Robot researches in Japan have recently begun to use robotic “monster wolves” to help control wildlife populations by keeping them out of human civilizations or agricultural areas. These robots are of interest to robot engineers who work in environmentalism because although the process of engineering a robot does not help the environment, the ultimate good accomplished by robots which help control wildlife populations may outweigh this cost.
- Vice
- 2020
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- 5 min
- Vice
- 2020
Robotic Beasts, Wildlife Control, and Environmental Impact
Robot researches in Japan have recently begun to use robotic “monster wolves” to help control wildlife populations by keeping them out of human civilizations or agricultural areas. These robots are of interest to robot engineers who work in environmentalism because although the process of engineering a robot does not help the environment, the ultimate good accomplished by robots which help control wildlife populations may outweigh this cost.
What are all the ways, aside from those mentioned in the article, in which robots and robotics could be utilised in environmentalist and conservationist causes? How could robots meant to tell wildlife where not to travel be misused?