Transparency and Explainability (47)
Find narratives by ethical themes or by technologies.
FILTERreset filters-
- 5 min
- Kinolab
- 2019
In an imagined future of London, citizens all across the globe are connected to the Feed, a device and network accessed constantly through a brain-computer interface. In this narrative, Ben, a member of the family who owns the company which created the Feed, uses the augmented reality features to create a virtual version of his ex-wife, Miyu, who he can make indulge in his own fantasies, regardless of what those may be. Eventually, this digital version of Miyu starts to glitch, but Ben nonetheless begins to share this virtual, subservient clone to other people to use in their own fantasies.
- Kinolab
- 2019
VR Intimacy and Objectification
In an imagined future of London, citizens all across the globe are connected to the Feed, a device and network accessed constantly through a brain-computer interface. In this narrative, Ben, a member of the family who owns the company which created the Feed, uses the augmented reality features to create a virtual version of his ex-wife, Miyu, who he can make indulge in his own fantasies, regardless of what those may be. Eventually, this digital version of Miyu starts to glitch, but Ben nonetheless begins to share this virtual, subservient clone to other people to use in their own fantasies.
How are women deprived of autonomy when men are able to control virtual versions of women in their own digital fantasies? How exactly would the consequences of this infect the real world? Is it ethical to use someone’s image and likeness for private purposes without their consent? How can we ‘copyright’ our own image?
-
- 6 min
- CBS News
- 2021
In light of the recent allegations of Facebook whistleblower Frances Haugen that the platform irresponsibly breeds division and mental health issues, AI Specialist Karen Hao explains how Facebook’s “algorithm(s)” serve or fail the people who use them. Specifically, the profit motive and a lack of exact and comprehensive knowledge of the algorithm system prevents groundbreaking change from being made.
- CBS News
- 2021
Facebook algorithm called into question after whistleblower testimony calls it dangerous
In light of the recent allegations of Facebook whistleblower Frances Haugen that the platform irresponsibly breeds division and mental health issues, AI Specialist Karen Hao explains how Facebook’s “algorithm(s)” serve or fail the people who use them. Specifically, the profit motive and a lack of exact and comprehensive knowledge of the algorithm system prevents groundbreaking change from being made.
Do programmers and other technological minds have a responsibility to understand exactly how algorithms work and how they tag data? What are specific consequences to algorithms which use their own criteria to tag items? How do social media networks take advantage of human attention?