Privacy in Colorado…
Colorado Attorney General Remarks on CPA Rulemaking
On April 12, at the International Association of Privacy Professionals’ global privacy conference, Colorado Attorney General Phil Weiser gave remarks on his office’s approach to the rulemaking and enforcement of the Colorado Privacy Act.
Attorney General Weiser observed that his office’s approach will be “principle-based” and not prescriptive. He shared that promulgating too many specific rules could be counterproductive. Not only would they not serve every context, he stated that also they could create challenges of interoperability if other states also are very prescriptive.
Prolific prognosticator of privacy.
https://www.bespacific.com/the-limitations-of-privacy-rights/
The Limitations of Privacy Rights
Solove, Daniel J., The Limitations of Privacy Rights (February 1, 2022). 98 Notre Dame Law Review — (Forthcoming 2023), Available at SSRN: https://ssrn.com/abstract=4024790 or http://dx.doi.org/10.2139/ssrn.4024790
“Individual privacy rights are often at the heart of information privacy and data protection laws. The most comprehensive set of rights, from the European Union’s General Data Protection Regulation (GDPR), includes the right to access, right to rectification (correction), right to erasure, right to restriction, right to data portability, right to object, and right to not be subject to automated decisions. Privacy laws around the world include many of these rights in various forms. In this article, I contend that although rights are an important component of privacy regulation, rights are often asked to do far more work than they are capable of doing. Rights can only give individuals a small amount of power. Ultimately, rights are at most capable of being a supporting actor, a small component of a much larger architecture. I advance three reasons why rights cannot serve as the bulwark of privacy protection. First, rights put too much onus on individuals when many privacy problems are systematic. Second, individuals lack the time and expertise to make difficult decisions about privacy, and rights cannot practically be exercised at scale with the number of organizations than process people’s data. Third, privacy cannot be protected by focusing solely on the atomistic individual. The personal data of many people is interrelated, and people’s decisions about their own data have implications for the privacy of other people. The main goal of providing privacy rights aims to provide individuals with control over their personal data. However, effective privacy protection involves not just facilitating individual control, but also bringing the collection, processing, and transfer of personal data under control. Privacy rights are not designed to achieve the latter goal; and they fail at the former goal. After discussing these overarching reasons why rights are insufficient for the oversized role they currently play in privacy regulation, I discuss the common privacy rights and why each falls short of providing significant privacy protection. For each right, I propose broader structural measures that can achieve its underlying goals in a more systematic, rigorous, and less haphazard way.”
Future direction. And a phone sized “Terminator?”
https://www.protocol.com/enterprise/ai-transformers-edge-nvidia
Researchers push to make bulky AI work in your phone and personal assistant
Transformer networks, colloquially known to deep-learning practitioners and computer engineers as “transformers,” are all the rage in AI. Over the last few years, these models, known for their massive size, large amount of data inputs, big scale of parameters — and, by extension, high carbon footprint and cost — have grown in favor over other types of neural network architectures.
Some transformers, particularly some open-source, large natural-language-processing transformer models, even have names that are recognizable to people outside AI, such as GPT-3 and BERT. They’re used across audio-, video- and computer-vision-related tasks, drug discovery and more.
Now chipmakers and researchers want to make them speedier and more nimble.
Keeping up.
https://finance.yahoo.com/news/ai-software-market-legal-industry-110300717.html
AI Software Market in Legal Industry - Growth, Trends, COVID-19 Impact, and Forecasts (2022 - 2027)
Reportlinker.com announces the release of the report "AI Software Market in Legal Industry - Growth, Trends, COVID-19 Impact, and Forecasts (2022 - 2027)" - https://www.reportlinker.com/p06271885/?utm_source=GNW
Law firms have always been at the forefront of using emerging technological advancements for productivity, efficiency enhancements, and artificial intelligence (AI) to play an integral role in supporting such initiatives. AI is becoming the next big technology for law firms. The legal sector is witnessing increased utility in its application owing to the developments and the computing capacity improvement in NLP, neural networks & chips.
We’re almost there.
https://www.bbc.com/news/technology-61155735
Highway Code: Watching TV in self-driving cars to be allowed
People using self-driving cars will be allowed to watch television on built-in screens under proposed updates to the Highway Code.
The changes will say drivers must be ready to take back control of vehicles when prompted, the government said.
The first use of self-driving technology is likely to be when travelling at slow speeds on motorways, such as in congested traffic.
However, using mobile phones while driving will remain illegal.
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https://www.bespacific.com/wapo-free-access-to-our-entire-site-through-april-22/
WaPo – free access to our entire site through April 22
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Washington Post – “Seeds of hope: How nature inspires scientists to confront climate change. Sarah Kaplan, one of The Post’s climate reporters, introduces a series of short essays from climate scientists and conservationists where their hope comes from. She begins with her own inspiration..”
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