Blog Post (11)
Find narratives by ethical themes or by technologies.
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- 5 min
- TechCrunch
- 2020
At the end of 2020, Twitch, a social network predicated on streaming video content and commenting, expanded and clarified its definitions of hateful content in order to moderate comments or posts which harassed other users or otherwise had a negative effect on other people. However, as a workplace, the Twitch company has much to prove before validating this updated policy as something more than a PR move.
- TechCrunch
- 2020
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- 5 min
- TechCrunch
- 2020
Twitch updates its hateful content and harassment policy after company called out for its own abuses
At the end of 2020, Twitch, a social network predicated on streaming video content and commenting, expanded and clarified its definitions of hateful content in order to moderate comments or posts which harassed other users or otherwise had a negative effect on other people. However, as a workplace, the Twitch company has much to prove before validating this updated policy as something more than a PR move.
How can content moderation algorithms be used for a greater good, in terms of recognizing hate speech and symbols? What nuances might be missed by this approach? What does the human part of content moderation look like? What responsibilities does such a position come with? How might content moderation on digital platforms moderate harassment behaviors in real life, and vice versa?
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- 7 min
- Farnam Street Blog
- 2021
Discusses the main lessons from two recent books explaining how algorithmic bias occurs and how it may be ameliorated. Essentially, algorithms are little more than mathematical operations, but their lack of transparency and the bad, unrepresentative data sets which train them mean their pervasive use becomes dangerous.
- Farnam Street Blog
- 2021
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- 7 min
- Farnam Street Blog
- 2021
A Primer on Algorithms and Bias
Discusses the main lessons from two recent books explaining how algorithmic bias occurs and how it may be ameliorated. Essentially, algorithms are little more than mathematical operations, but their lack of transparency and the bad, unrepresentative data sets which train them mean their pervasive use becomes dangerous.
How can data sets fed to algorithms be properly verified? What would the most beneficial collaboration between humans and algorithms look like?
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- 3 min
- MacRumors
- 2021
Facebook’s collaboration with Ray-Ban on a new technology of “smart glasses” comes with a host of questions on whether or not capabilities such as facial recognition should be built into the technology.
- MacRumors
- 2021
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- 3 min
- MacRumors
- 2021
Facebook Weighing Up Legality of Facial Recognition in Upcoming Smart Glasses
Facebook’s collaboration with Ray-Ban on a new technology of “smart glasses” comes with a host of questions on whether or not capabilities such as facial recognition should be built into the technology.
What are the “so clear” benefits and risks of having facial recognition algorithms implanted into smart glasses, in your view? What are the problems with “transparent technology” such as smart glasses, where other citizens may not even know that they are being surveilled?
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- 5 min
- Premium Beat
- 2020
This blog post explores what a combination of deepfake and computer generated images (CGI) technologies might mean to film makers.
- Premium Beat
- 2020
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- 5 min
- Premium Beat
- 2020
Is Deepfake Technology the Future of the Film Industry?
This blog post explores what a combination of deepfake and computer generated images (CGI) technologies might mean to film makers.
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- Maryville University
- 2016
This article talks about the global scope of cybersecurity threats and focuses on how there is a shortage of skilled technologists to combat the volume of threats.
- Maryville University
- 2016
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- Maryville University
- 2016
Understanding Global Cybersecurity
This article talks about the global scope of cybersecurity threats and focuses on how there is a shortage of skilled technologists to combat the volume of threats.
How should countries be held accountable for intentionally or unintentionally contributing to global cybersecurity problems? What are the global impacts of the cybersecurity skilled technologist shortages? Who are the stakeholders of cybersecurity threats that seem to originate from one country and how does this impact the legitimacy and reputation of CS post-secondary programs and emerging technology sectors within that country?