Blog Post (11)
Find narratives by ethical themes or by technologies.
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- 15 min
- The App Solutions
Overview of recommender systems, which are information filtering algorithms design to suggest content or products to a particular user.
- The App Solutions
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- 15 min
- The App Solutions
5 types of recommender systems and their impact on customer experience
Overview of recommender systems, which are information filtering algorithms design to suggest content or products to a particular user.
How do information filtering algorithms work and learn? Are some types of recommender systems more generally ethical than others?
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- 7 min
- Singularity Hub
- 2018
New inventions which help study or improve brain functions will hopefully become more democratized and obtainable down the road, despite being currently expensive. Machines such as wearable MRIs or Brain-Machine Interfaces ideally simplify invasive medical procedures, and provide hopes for recovery from afflictions such as strokes or depression.
- Singularity Hub
- 2018
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- 7 min
- Singularity Hub
- 2018
Hacking the Mind just got easier with these new tools
New inventions which help study or improve brain functions will hopefully become more democratized and obtainable down the road, despite being currently expensive. Machines such as wearable MRIs or Brain-Machine Interfaces ideally simplify invasive medical procedures, and provide hopes for recovery from afflictions such as strokes or depression.
What are some risks that may be involved with technology being able to control our neuronal activity? How can we ensure that adoption of this technology remains a choice and not an imposition?
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- 7 min
- Mad Scientist Laboratory
- 2018
The combination of the profit motive for tech companies and the vague language of non-binding ehtical agreements for coders means that there must be a higher regulation for ethical deployment and use of technology. Argues that there must be clear demarcations between what is considered real and human versus fake and virtual. Digital technologies should be regulated in a manner similar to other technologies, such as guns, cars, or nuclear weapons.
- Mad Scientist Laboratory
- 2018
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- 7 min
- Mad Scientist Laboratory
- 2018
Man Machine Rules
The combination of the profit motive for tech companies and the vague language of non-binding ehtical agreements for coders means that there must be a higher regulation for ethical deployment and use of technology. Argues that there must be clear demarcations between what is considered real and human versus fake and virtual. Digital technologies should be regulated in a manner similar to other technologies, such as guns, cars, or nuclear weapons.
How do we ensure the ethical use of AI by digital tech giants? Should there be an equivalent of the hippocratic oath for development of digital technology? How would you imagine something like this being put in place? Are the man-machine rules laid out at the end of the article realistic?
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- 10 min
- MEL Beta
- 2019
The continued existence of pirating websites such as The Pirate Bay demonstrates how digital technologies can be used against institutions such as copyright, and further designates the idea of a completely free and open internet.
- MEL Beta
- 2019
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- 10 min
- MEL Beta
- 2019
After 15 Years, The Pirate Bay Still Can’t Be Killed
The continued existence of pirating websites such as The Pirate Bay demonstrates how digital technologies can be used against institutions such as copyright, and further designates the idea of a completely free and open internet.
Why are communities online so hard to shut down? Can the internet ever be entirely free and open, as the founders of TPB discuss? What would be the consequences of this? Is the digital world decreasing the value of art forms such as recorded songs or films?
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- 4 min
- OneZero
- 2020
A group of “Face Queens” (Dr. Timnit Gebru, Joy Buolamwini, and Deborah Raji) have joined forces to do important racial justice and equity work in the field of computer vision, struggling against racism in the industry to whistleblow against biased machine learning and computer vision technologies still deployed by companies like Amazon.
- OneZero
- 2020
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- 4 min
- OneZero
- 2020
Dr. Timnit Gebru, Joy Buolamwini, Deborah Raji — an Enduring Sisterhood of Face Queens
A group of “Face Queens” (Dr. Timnit Gebru, Joy Buolamwini, and Deborah Raji) have joined forces to do important racial justice and equity work in the field of computer vision, struggling against racism in the industry to whistleblow against biased machine learning and computer vision technologies still deployed by companies like Amazon.
How can the charge led by these women for more equitable computer vision technologies be made even more visible? Should people need high degrees to have a voice in fighting against technologies which are biased against them? How can corporations be made to listen to voices such as those of the Face Queens?
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- 4 min
- VentureBeat
- 2020
A study on the engine of TaskRabbit, an app which uses an algorithm to recommend the best workers for a specific task, demonstrates that even algorithms which attempt to account for fairness and parity in representation can fail to provide what they promise depending on different contexts.
- VentureBeat
- 2020
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- 4 min
- VentureBeat
- 2020
Researchers Find that Even Fair Hiring Algorithms Can Be Biased
A study on the engine of TaskRabbit, an app which uses an algorithm to recommend the best workers for a specific task, demonstrates that even algorithms which attempt to account for fairness and parity in representation can fail to provide what they promise depending on different contexts.
Can machine learning ever be enacted in a way that fully gets rid of human bias? Is bias encoded into every trained machine learning program? What does the ideal circumstance look like when using digital technologies and machine learning to reach a point of equitable representation in hiring?