Professional Responsibility (50)
Find narratives by ethical themes or by technologies.
FILTERreset filters-
- 6 min
- Kinolab
- 2019
Eleanor Shellstrop runs a fake afterlife, in which she conducts an experiment to prove that humans with low ethical sensibility can improve themselves. One of the subjects, Simone, is in deep denial upon arriving in this afterlife, and does as she pleases after convincing herself that nothing is real. Elsewhere, another conductor of the experiment, Jason, kills a robot which has been taunting him since the advent of the experiment.
- Kinolab
- 2019
Resisting Realities and Robotic Murder
Eleanor Shellstrop runs a fake afterlife, in which she conducts an experiment to prove that humans with low ethical sensibility can improve themselves. One of the subjects, Simone, is in deep denial upon arriving in this afterlife, and does as she pleases after convincing herself that nothing is real. Elsewhere, another conductor of the experiment, Jason, kills a robot which has been taunting him since the advent of the experiment.
What are the pros and cons of solipsism as a philosophy? Does it pose a danger of making us act immorally? How can we apply the risk of solipsism to technology such as virtual reality– a space where we know nothing is real except our own feelings and perceptions. Should virtual reality have ethical rules to prevent solipsism from brewing in it? Could that leak into our daily lives as well?
Is it ethical for humans to kill AI beings in fits of negative emotions, such as jealousy? Should this be able to happen on a whim? Should humans have total control of whether AI beings live or die?
-
- 7 min
- The New Republic
- 2020
The narrative of Dr. Timnit Gebru’s termination from Google is inextricably bound with Google’s irresponsible practices with training data for its machine learning algorithms. Using large data sets to train Natural Language Processing algorithms is ultimately a harmful practice because for all the harms to the environment and biases against certain languages it causes, machines still cannot fully comprehend human language.
- The New Republic
- 2020
-
- 7 min
- The New Republic
- 2020
Who Gets a Say in Our Dystopian Tech Future?
The narrative of Dr. Timnit Gebru’s termination from Google is inextricably bound with Google’s irresponsible practices with training data for its machine learning algorithms. Using large data sets to train Natural Language Processing algorithms is ultimately a harmful practice because for all the harms to the environment and biases against certain languages it causes, machines still cannot fully comprehend human language.
Should machines be trusted to handle and process the incredibly nuanced meaning of human language? How do different understandings of what languages and words mean and represent become harmful when a minority of people are deciding how to train NLP algorithms? How do tech monopolies prevent more diverse voices from entering this conversation?
-
- 5 min
- NPR
- 2020
After the FTC and 48 States charged Facebook with being a monopoly in late 2020, the FTC continues the push for accountability of tech monopolies by demanding that large social network companies, including Facebook, TikTok, and Twitter, share exactly what they do with user data in hopes of increased transparency. Pair with “Facebook hit with antitrust lawsuit from FTC and 48 state attorneys general“
- NPR
- 2020
-
- 5 min
- NPR
- 2020
Amazon, TikTok, Facebook, Others Ordered To Explain What They Do With User Data
After the FTC and 48 States charged Facebook with being a monopoly in late 2020, the FTC continues the push for accountability of tech monopolies by demanding that large social network companies, including Facebook, TikTok, and Twitter, share exactly what they do with user data in hopes of increased transparency. Pair with “Facebook hit with antitrust lawsuit from FTC and 48 state attorneys general“
Do you think that users, especially younger users, would trade their highly-tailored recommender system and social network experiences for data privacy? How much does transparency of tech monopolies help when many people are not fluent in the concept of how algorithms work? Should social media companies release the abstractions of users that it forms using data?
-
- 5 min
- Venture Beat
- 2021
Relates the story of Google’s inspection of Margaret Mitchell’s account in the wake of Timnit Gebru’s firing from Google’s AI ethics division. With authorities in AI ethics clearly under fire, the Alphabet Worker’s Union aims to ensure that workers who can ensure ethical perspectives of AI development and deployment.
- Venture Beat
- 2021
-
- 5 min
- Venture Beat
- 2021
Google targets AI ethics lead Margaret Mitchell after firing Timnit Gebru
Relates the story of Google’s inspection of Margaret Mitchell’s account in the wake of Timnit Gebru’s firing from Google’s AI ethics division. With authorities in AI ethics clearly under fire, the Alphabet Worker’s Union aims to ensure that workers who can ensure ethical perspectives of AI development and deployment.
How can bias in tech monopolies be mitigated? How can authorities on AI ethics be positioned in such a way that they cannot be fired when developers do not want to listen to them?
-
- 7 min
- The New York Times
- 2021
On October 4th, 2021, Facebook’s servers experienced an outage which left its apps, including the commonly used Facebook, Instagram, and Whatsapp, out of commission for several hours. The problem is said to be caused by a incorrect configuring of Facebook’s servers, which ultimately led to a Domain Name System error in which the numerical IP addresses determined by the computer became inaccessible. The myriad effects of this outage spread across the globe as businesses were effected by the lack of access to these social networks. Additionally, certain other internet services linked to Facebook became inaccessible.
- The New York Times
- 2021
-
- 7 min
- The New York Times
- 2021
Facebook and all of its apps go down simultaneously.
On October 4th, 2021, Facebook’s servers experienced an outage which left its apps, including the commonly used Facebook, Instagram, and Whatsapp, out of commission for several hours. The problem is said to be caused by a incorrect configuring of Facebook’s servers, which ultimately led to a Domain Name System error in which the numerical IP addresses determined by the computer became inaccessible. The myriad effects of this outage spread across the globe as businesses were effected by the lack of access to these social networks. Additionally, certain other internet services linked to Facebook became inaccessible.
What are the dangers of relying on fallible networks to perform essential functions such as business? How can network infrastructure be more protected? How much data and information should Facebook be trusted with?
-
- 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?