Be a dipper?
Ongoing Data Breach Dispute Underscores Emerging Legal Issues in Data Privacy Litigation
… According to the lawsuits, Wawa’s practice of accepting “swiped” payment cards, as opposed to “dipped” cards with chips, enabled the data breach. Whereas a swipe-only payment processing system enables easier theft, a chipped card uses “industry developed EMV chip technology” that makes fraud “significantly more difficult”. Whenever a chipped card is insert into a payment system, it generates a unique code for each transaction. This unique code makes theft more cumbersome.
… At the heart of the credit unions’ claim is an allegation that the PCI DSS should be the standards upon which a merchant’s liability for damages from a data breach should be determined. Under this theory of tort liability, the PCI DSS could displace any other best practices and standards to become the de facto practices for merchants to follow. A link between the PCI DSS and common law tort duties could result in a seismic shift in liability. According to the Verizon 2020 Payment Security Report, only 27.9% of organizations fully comply with the PCI DSS. This is down from a historic high of 55% in 2016.
Wawa allegedly failed to comply with all or some of the requirements. The credit unions alleged that Wawa’s failure to comply resulted in negligence under at least two different theories.
To help my Computer Security students understand…
https://www.natlawreview.com/article/evolution-personal-data-us-law
Evolution of Personal Data in U.S. Law
… Early digital age protections of data in the U.S. tending to apply very specific definitions. First, the government began protecting the particular types of data that concerned legislators, regulators, and the general public – financial/banking information, descriptions of health care, and information relating to children. This was the data that people felt was most private and most likely to be abused. It was the data that many people would have been concerned about sharing with strangers.
The definitions around these laws reflected the specificity of their intent.
...The terms defined in this first wave of data breach notice laws were based on lists. Each law listed a set of information categories likely to facilitate the theft of a citizen’s identity.
… The CCPA shattered this concept. As the first omnibus privacy act in the U.S., the California Consumer Privacy Act brought European thinking to privacy protection law. Rather than a limited vertical market like finance or health care, or a narrow legal goal like stopping identity theft, the CCPA sought to create new rights that individuals would have to protect data collected about them, and the CCPA sought to impose those rights down on businesses who previously felt that they were owners of the data. The CCPA never defined anything as fundamental or nebulous as “ownership” of the data, but it did offer a new, breathtakingly broad definition of the personal information at the heart of the statute.
Because AI might be the only “I” we get.
https://www.bespacific.com/white-house-issues-guidance-for-federal-agencies-on-ai-applications/
White House issues guidance for federal agencies on AI applications
ZDNet – “US federal agencies have now been issued a guidance by the White House on how to regulate artificial intelligence (AI) applications that are produced in the US. “This memorandum sets out policy considerations that should guide, to the extent permitted by law, regulatory and non-regulatory approaches to AI applications developed and deployed outside of the federal government,” stated Russell Vought, director of the Office of Management and Budget (OMB) in the memo [PDF] for all the heads of executive departments and agencies, including independent regulatory agencies. The OMB guidance comes 21 months after President Donald Trump signed an executive order to fast-track the development and regulation of AI in the US. President Trump at the time touted the executive order would see the launch of the American AI initiative, which would place US resources towards ensuring that AI technology is made locally. According to the guidance, the idea is to ensure that agencies do not introduce regulations and rules that “hamper AI innovation and growth”…”
Maybe, maybe not.
Neural’s guide to the glorious future of AI: Here’s how machines become sentient
The future realization of robot lifeforms is referred to by a plethora of terms – sentience, artificial general intelligence (AGI), living machines, self-aware robots, and so forth – but the one that seems most fitting is “The Singularity.”
Rather than debate semantics, we’re going to sweep all those little ways of saying “human-level intelligence or better” together and conflate them to mean: A machine capable of at least human-level reasoning, thought, memory, learning, and self-awareness.
Modern AI researchers and developers tend to gravitate towards the term AGI. Normally, we’d agree because general intelligence is grounded in metrics we can understand – to qualify, an AI would have to be able to do most stuff a human can.
But there’s a razor-thin margin between “as smart as” and “smarter than” when it comes to hypothetical general intelligence and it seems likely a mind powered by super computers, quantum computers, or a vast network of cloud servers would have far greater sentient potential than our mushy organic ones. Thus, we’ll err on the side of superintelligence for the purposes of this article.
… Let’s get super scientific here and crank out a listicle with five separate ways AI could gain human-level intelligence and awareness:
Machine consciousness is back-doored via quantum computing
A new calculus creates the Master Algorithm
Scientists develop 1:1 replication of organic neural networks
Cloud consciousness emerges through scattered node optimization
Alien technology
… Here’s hoping that, no matter how The Singularity comes about, it ushers in a new age of prosperity for all intelligent beings. But just in case it doesn’t work out so well, we’ve got something that’ll help you prepare for the worst. Check out these articles in Neural’s Beginner’s Guide to the AI Apocalypse series:
Also for researchers?
https://www.bespacific.com/wonder-tools-googles-new-journalist-studio/
Wonder Tools – Google’s New Journalist Studio
Jeremy Kaplan: “Google recently launched Journalist Studio, a toolkit with free reporting and data visualization resources. The tools are easy to use, well-designed and immediately applicable to big reporting projects and small research inquiries. Some of these tools have been around for a while, so part of this launch is just glossy repackaging. Pinpoint is the most valuable part of the toolkit. It provides you with a free digital hub for storing and analyzing massive datasets of documents, emails, audio files, handwritten notes and more. You can store up to 200,000 documents in each collection, and up to 100gb overall. Request more space if you need it…”
No comments:
Post a Comment