Machine Learning (83)
Find narratives by ethical themes or by technologies.
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- 7 min
- The Verge
- 2019
Reliance on “emotion recognition” algorithms, which use facial analysis to infer feelings. Credibility of the results in question based on inability of machines to recognize abstract nuances.
- The Verge
- 2019
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- 7 min
- The Verge
- 2019
AI ‘Emotion Recognition’ Can’t Be Trusted
Reliance on “emotion recognition” algorithms, which use facial analysis to infer feelings. Credibility of the results in question based on inability of machines to recognize abstract nuances.
Can digital artifacts potentially detect human emotions correctly? Should our emotions be read by machines? Are emotions too complex for machines to understand? How is human agency impacted by discrete AI categories for emotions?
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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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- 5 min
- Wired
- 2019
Non-profit companies such as Thorn and the Canadian Centre for Child Protection are using existing software, particularly facial recognition algorithms, to discover ways to become more proactive in fighting child pornography and human trafficking on the dark web.
- Wired
- 2019
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- 5 min
- Wired
- 2019
How Facial Recognition is fighting child sex trafficking
Non-profit companies such as Thorn and the Canadian Centre for Child Protection are using existing software, particularly facial recognition algorithms, to discover ways to become more proactive in fighting child pornography and human trafficking on the dark web.
How has technology facilitated underground illegal activities, such as child trafficking? How has technology also facilitated fighting back against them? What is your opinion on the debate on whether or not law enforcement should have extensive access to facial recognition technology or machine learning algorithms?
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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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- 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?