All Narratives (355)
Find narratives by ethical themes or by technologies.
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- 7 min
- MIT Technology Review
- 2019
Autonomous vehicles could be subject to hacks by adversarial machine-learning, possibly perpetrated by out-of-work truck/Uber drivers and “adversarial machine learning”. The fact that vehicle algorithms can already be fairly easily tricked also raises concerns.
- MIT Technology Review
- 2019
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- 7 min
- MIT Technology Review
- 2019
Hackers Are the Real Obstacle for Self-Driving Vehicles
Autonomous vehicles could be subject to hacks by adversarial machine-learning, possibly perpetrated by out-of-work truck/Uber drivers and “adversarial machine learning”. The fact that vehicle algorithms can already be fairly easily tricked also raises concerns.
Had you considered this big obstacle in self-driving? How would this risk impact the business of self-driving vehicles? What are the consequences of companies not fully understanding the machine algorithms that they use? Should we use self-driving vehicles when this threat stands?
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- 5 min
- The Atlantic
- 2019
A book proposes we let robots do all of Earth’s physical labor, creating a world where virtually all human needs are met, in this new ideology called Fully Automated Luxury Communism, or FALC. This is modeled after certain fictions such as Star Trek.
- The Atlantic
- 2019
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- 5 min
- The Atlantic
- 2019
Give Us Fully Automated Luxury Communism
A book proposes we let robots do all of Earth’s physical labor, creating a world where virtually all human needs are met, in this new ideology called Fully Automated Luxury Communism, or FALC. This is modeled after certain fictions such as Star Trek.
Do you think the FALC ideology is tangibly possible? Which potential problems do you see in its implementation? If robots become advanced enough to become what are essentially human actors, can they be expected to complete all of the world’s labor without compensation?
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- 5 min
- MIT Technology Review
- 2019
Discusses the issues that come with allowing private companies to fight back against cyber attacks by chasing hackers across the internet, including greater conflict with other countries and potential lawsuits.
- MIT Technology Review
- 2019
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- 5 min
- MIT Technology Review
- 2019
Five reasons “hacking back” is a recipe for cybersecurity chaos
Discusses the issues that come with allowing private companies to fight back against cyber attacks by chasing hackers across the internet, including greater conflict with other countries and potential lawsuits.
Do we need international norms to help defuse tensions in the cyberspace? What are the “alternatives” to hacking back? Would data be safer if it was not digital?
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- 2 min
- Wired
- 2019
Synthetic human faces are able to be generated by a machine learning algorithm.
- Wired
- 2019
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- 2 min
- Wired
- 2019
Artificial Intelligence Is Coming For Our Faces
Synthetic human faces are able to be generated by a machine learning algorithm.
What are some consequences to AI being able to render fake yet believable human faces?
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- 7 min
- Vice
- 2019
An academic perspective on an algorithm created by PredPol to “predict crime.” Unless every single crime is reported, and unless and police pursue all types of crimes committed by all people equally, it’s impossible to have a reinforcement learning system that predicts crime itself.Rather, police find crimes in the same places they’ve been told to look for them, feeding the algorithm ineffective data and allowing unjust targeting of communities of color by the police to continue based on trust in the algorithm.
- Vice
- 2019
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- 7 min
- Vice
- 2019
Academics Confirm Major Predictive Policing Algorithm is Fundamentally Flawed
An academic perspective on an algorithm created by PredPol to “predict crime.” Unless every single crime is reported, and unless and police pursue all types of crimes committed by all people equally, it’s impossible to have a reinforcement learning system that predicts crime itself.Rather, police find crimes in the same places they’ve been told to look for them, feeding the algorithm ineffective data and allowing unjust targeting of communities of color by the police to continue based on trust in the algorithm.
Can an algorithm which claims to predict crime ever be fair? Is it ever justified for volatile actors such as police to act based on directions from a machine, where the logic is not always transparent?
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- 5 min
- The New York Times
- 2019
As the case study of Baltimore demonstrates, cyber crime against governments for ransom of digital cash is not an uncommon practice.
- The New York Times
- 2019
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- 5 min
- The New York Times
- 2019
Hackers Holding Baltimore Hostage
As the case study of Baltimore demonstrates, cyber crime against governments for ransom of digital cash is not an uncommon practice.
How can hacking affect whole cities? Should entire cities trust digital systems to contain all of their important information?