Long Term Preservation

Electronic Records: A Workbook For Archivists (ICA Study no. 16 ) is a manual produced by the ICA Committee on Current Records in an Electronic Environment (CER, 2000-2004). It addresses the consequences of the fact that, throughout the world, records of all sorts are increasingly produced in electronic form. It takes a practical approach to managing and preserving electronic records throughout their lifecycle. This chapter (Chapter 5) deals with long-term preservation

La información en peligro: ¿Qué futuro le espera a la información registrada en soportes electrónicos? : Los riesgos de la era digital

Digital preservation is no longer just the concern of national institutions or large organisations; every individual now creates a large amount of personal digital information, much of it stored in environments which are outside their control. This has implications for personal memories and family history. This article is written to make digital preservation concepts and concerns accessible and meaningful to a general newspaper-reading audience

Producing practical preservation procedures

This paper takes account of the development of preservation procedures in NDAD (http://ndad.ulcc.ac.uk/), a service managed by ULCC and the speakers own experiences with testing digital preservation procedures within the context of training in electronic records management. It also looks at what has been learned about the problems of developing procedures for a distributed, multi-organisational environment and attempts to draw some conclusions as to what needs to be done to improve the current situation

Electric Kick Scooters on Sidewalks in Virginia but Not in California? A Review of How States Regulate Personal Transportation Devices

Every weekday morning in San Francisco’s SoMa district, a stream of workers disembark from the city’s commuter rail station carrying an assortment of small, wheeled devices—kick scooters, electric skateboards, hoverboards, and more—which they then use to roll on to their offices. These “personal transportation devices” (PTDs)—also called micromobility or microtransit—encompass a growing set of devices that provide low-speed, flexible mobility for individual travelers. In recent years, the number of PTD types and their use has exploded with the introduction of new devices. This Perspective reports findings from a research project reviewing how these PTDs are regulated in the vehicle codes for the 50 states, District of Columbia, and five U.S. territories

How and Where Should I Ride This Thing? “Rules Of The Road” for Personal Transportation Devices

In recent years, “Personal Transportation Devices” (PTDs) have exploded onto streets and sidewalks. These small devices transport individual persons at slow speeds and are either human-powered or motorized. Examples include electric (kick) scooters, skateboards, e-skateboards, roller blades, and Segways. One key to successfully integrating PTDs into community streets will be the implementation of consistent and suitable regulations over user behavior: “rules of the road” for PTD riders. To help local officials identify appropriate rules for rider behavior, this report documents and analyzes existing PTD regulations across 176 jurisdictions and then presents recommendations for a set of state-level “rules of the road” designed to balance safety and freedom of movement for all road users, including PTD riders.To identify the current state of PTD rules of the road, we documented and analyzed the existing regulations at three levels of government: all 50 states and 5 U.S. territories, 101 cities, and 20 college campuses. This review found that PTD users operate in a murky regulatory environment, with rules often poorly defined, contradictory, or altogether absent.Results of this analysis, a literature review, and interviews with 21 stakeholders, were used to craft a model state-level regulatory code that aims to introduce consistent and well-grounded regulation of PTDs. The general philosophy underpinning the model legislation is that PTD rules should protect public safety, permit PTD use as a convenient travel option, be easy to understand and remember, allow for new devices without new regulations, and be based on facts about PTD use and users. Working from these principles, core recommended elements of the recommended PTD regulations are as follows: states should set comprehensive regulations for PTD riders (with local gov-ernments given flexibility to limit certain uses when necessitated by local conditions); PTDs should be regulated as a class, not device-by-device; and PTD users should be permitted to ride on both streets and sidewalks, subject to rules that protect safety and free movement for all travelers

Introduction: Cybersecurity in Pittsburgh

This article provides a brief introduction to cybersecurity issues in the Pittsburgh region and introduces the student article series

Teaching Law and Digital Age Legal Practice with an AI and Law Seminar

This article provides a guide and examples for using a seminar on Artificial Intelligence (AI) and Law to teach lessons about legal reasoning and about legal practice in the digital age. Artificial Intelligence and Law is a subfield of AI/ computer science research that focuses on computationally modeling legal reasoning. In at least a few law schools, the AI and Law seminar has regularly taught students fundamental issues about law and legal reasoning by focusing them on the problems these issues pose for scientists attempting to computationally model legal reasoning. AI and Law researchers have designed programs to reason with legal rules, apply legal precedents, predict case outcomes, argue like a legal advocate and visualize legal arguments. The article illustrates some of the pedagogically important lessons that they have learned in the process. As the technology of legal practice catches up with the aspirations of AI and Law researchers, the AI and Law seminar can play a new role in legal education. With advances in such areas as e-discovery, legal information retrieval (IR), and semantic processing of web-based information for electronic contracting, the chances are increasing that, in their legal practices, law students will use, and even depend on, systems that employ AI techniques. As explained in the Article, an AI and Law seminar invites students to think about processes of legal reasoning and legal practice and about how those processes employ information. It teaches how the new digital documents technologies work, what they can and cannot do, how to measure performance, how to evaluate claims about the technologies, and how to be savvy consumers and users of the technologies

JISC Preservation of Web Resources (PoWR) Handbook

Handbook of Web Preservation produced by the JISC-PoWR project which ran from April to November 2008. The handbook specifically addresses digital preservation issues that are relevant to the UK HE/FE web management community”. The project was undertaken jointly by UKOLN at the University of Bath and ULCC Digital Archives department

Using AI to Analyze Patent Claim Indefiniteness

We describe how to use artificial intelligence (AI) techniques to partially automate a type of legal analysis, determining whether a patent claim satisfies the definiteness requirement. Although fully automating such a high-level cognitive task is well beyond state-of-the-art AI, we show that AI can nevertheless assist the decision maker in making this determination. Specifically, the use of custom AI technology can aid the decision maker by (1) mining patent text to rapidly bring relevant information to the decision maker’s attention, and (2) suggesting simple inferences that can be drawn from that information. We begin by summarizing the law related to patent claim indefiniteness. A summary of existing case law allows us to identify the types of information that can be relevant to the legal determination of indefiniteness. This in turn guides us in designing AI software that processes a patent’s text to extract information that can be relevant to the legal analysis of indefiniteness. Some types of relevant information include whether terms in a claim are defined in the patent, whether terms in a claim are not mentioned in the patent’s specification, whether the claim includes non-standard terms coined by the drafter of the patent, whether the claim relies on vaguely-specified measurements, and whether the patent’s specification discloses structure corresponding to a means-plus-function limitation. The AI software rapidly processes a patent’s text and identifies information that is relevant to the legal analysis. The software then provides the human decision maker with this information as well as simple metrics and inferences, such as the percentage of claim terms that are defined explicitly or by example, and whether terms that are coined by the drafter should be defined or renamed. This can provide the user with insights about a patent much faster than if the user read the entirety of the patent to locate the same information unaided. Moreover, the software can aggregate the various types of information to “score” a claim (e.g., from 0 to 100) based on its risk of being deemed indefinite. For example, a claim containing only defined terms and lacking any vague measurements would score much lower in terms of risk than a claim with terms that are not only undefined but do not even appear in the patent’s specification. Once each claim in a patent is assigned such an indefiniteness score, the patent itself can be given an overall indefiniteness score. Scoring groups of patents in this manner has further advantages even if the scores are blunt measurements. AI software ranks a group of patents (e.g., all patents owned by a company) by indefiniteness scores. This allows a very large set of patents to be quickly searched for patents that have the highest, or lowest, indefiniteness score. The results of such a search could be, e.g., the patents to target for detailed review in litigation, post-grant proceedings, or licensing negotiations. Finally, we present some considerations for refining and augmenting the proposed methods for partially automating the indefiniteness analysis, and more broadly other types of legal analysis