I like it! No matter how unlikely it is.
A Radical Proposal for Protecting Privacy: Halt Industry’s Use of ‘Non-Content’
Law professor and privacy scholar Susan Landau writes:
…. Following the spirit of consumer protection laws such as those requiring that cars must have seatbelts, we urge that, with narrow exceptions, regulations or legislation limit the uses of metadata and telemetry information to the purposes for which they were designed: delivery of content and better user experience on the device (or, in the case of augmented reality or virtual reality, for only those purposes off the device). We recommend allowing use for investigating fraud, ensuring security, including device and user identification (for security purposes only), and modeling to understand future business needs; these purposes are analogous to the business purposes to which AT&T put metadata in the pre-1990s age. Then allow two more purposes. First, for a limited period during a public health emergency, we recommend the use of data to provide information on public movement in aggregate. We also recommend allowing such information to be used for public or peer-reviewed research projects in the public interest such as for urban planning, including appropriate de-identification methods so that personal information is not exposed.
Read the entire piece on Lawfare, An expanded version of this article is now available in the Colorado Technology Law Journal as “Reversing Privacy Risks: Strict Limitations on the Use of Communications Metadata and Telemetry Information.”
What could possibly go wrong?
https://www.ft.com/content/783a9d91-cce3-4177-bfe0-5438aa3b892a
UK researchers start using AI for air traffic control
UK researchers have produced a computer model of air traffic control in which all flight movements are directed by artificial intelligence rather than human beings.
Their “digital twin” representation of airspace over England is the initial output of a £15mn project to determine the role that AI could play in advising and eventually replacing human air traffic controllers.
Dubbed Project Bluebird, the research is a partnership between National Air Traffic Services, the company responsible for UK air traffic control, the Alan Turing Institute, a national body for data science and AI, and Exeter university, with government funding through UK Research and Innovation, a state agency. Its first results were presented at the British Science Festival in Exeter.
Reasons for involving AI in air traffic control include the prospect of directing aircraft along more fuel-efficient routes to reduce the environmental impact of aviation, as well as cutting delays and congestion, particularly at busy airports such as London’s Heathrow.
Will they get it right? How could you tell if they failed?
LexisNexis is embracing generative AI to ease legal writing and research
Last June, just months after the release of ChatGPT from OpenAI, a couple of New York City lawyers infamously used the tool to write a very poor brief. The AI cited fake cases, leading to an uproar, an angry judge and two very embarrassed attorneys. It was proof that while bots like ChatGPT can be helpful, you really have to check their work carefully, especially in a legal context.
The case did not escape the folks at LexisNexis, a legal software company that offers tooling to help lawyers find the right case law to make their legal arguments. The company sees the potential of AI in helping reduce much of the mundane legal work that every lawyer undertakes, but it also recognizes these very real issues as it begins its generative AI journey.
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