Monika Ermert, Intellectual Property Watch; EU Members Push For Private Censorship Of Terrorist Content On The Internet
"According to the planned regulation on preventing-terrorist-content-online
hosters, cloud providers and all sorts of internet platform providers
must delete terrorist content upon receiving orders from Europol or
relevant member state law enforcement agencies in just one hour.
But they would also have to make their own assessments about the
terrorist nature of content upon referrals by the authorities and even
take proactive steps for “detecting, identifying, and expeditiously
removing or disabling access to terrorist content” (see paragraph 6 of
the draft text)."
Issues and developments related to ethics, information, and technologies, examined in the ethics and intellectual property graduate courses I teach at the University of Pittsburgh School of Computing and Information. My Bloomsbury book "Ethics, Information, and Technology" will be published in Summer 2025. Kip Currier, PhD, JD
Showing posts with label cloud providers. Show all posts
Showing posts with label cloud providers. Show all posts
Thursday, December 6, 2018
EU Members Push For Private Censorship Of Terrorist Content On The Internet; Intellectual Property Watch, December 6, 2018
Monday, April 2, 2018
Machine learning as a service: Can privacy be taught?; ZDnet, April 2, 2018
Robin Harris, ZDNet; Machine learning as a service: Can privacy be taught?
"Machine learning is one of the hottest disciplines in computer science today. So hot, in fact, that cloud providers are doing a good and rapidly growing business in machine-learning-as-a-service (MLaaS).
But these services come with a caveat: all the training data must be revealed to the service operator. Even if the service operator does not intentionally access the data, someone with nefarious motives may. Or their may be legal reasons to preserve privacy, such as with health data.
In a recent paper, Chiron: Privacy-preserving Machine Learning as a Service Tyler Hunt, of the University of Texas, and others, presents a system that preserves privacy while enabling the use of cloud MLaaS."
"Machine learning is one of the hottest disciplines in computer science today. So hot, in fact, that cloud providers are doing a good and rapidly growing business in machine-learning-as-a-service (MLaaS).
But these services come with a caveat: all the training data must be revealed to the service operator. Even if the service operator does not intentionally access the data, someone with nefarious motives may. Or their may be legal reasons to preserve privacy, such as with health data.
In a recent paper, Chiron: Privacy-preserving Machine Learning as a Service Tyler Hunt, of the University of Texas, and others, presents a system that preserves privacy while enabling the use of cloud MLaaS."
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