Category «Search Strategies»

Generative AI Resources 2024

Referencing an article in this month’s Georgetown Law Technology Review, “…traditional AI algorithms normally operate by carrying out a specific function or completing a task using a data set that contains information on how that function or task has previously been done In other words, traditional AI is able to follow a set of rules, make predictions, or utilize instructions to complete a task; but it is not creating anything new in doing so. Generative AI (GAI) has the ability to create something new, specifically new content.” Marcus P. Zillman’s new resource guide spans subject matters including law, economics, education, information technology, planning and strategic deployment and use of GAI, as well a best practices and governance.

Subjects: AI, Cybersecurity, Economy, Education, Financial System, Information Management, Internet Trends, KM, Legal Research, Search Engines, Search Strategies, Social Media, Technology Trends

Evaluating Generative AI for Legal Research: A Benchmarking Project

It is difficult to test Large-Language Models (LLMs) without back-end access to run evaluations. So to test the abilities of these products, librarians can use prompt engineering to figure out how to get desired results (controlling statutes, key cases, drafts of a memo, etc.). Some models are more successful than others at achieving specific results. However, as these models update and change, evaluations of their efficacy can change as well. Law Librarians and tech experts par excellence, Rebecca Fordon, Sean Harrington and Christine Park plan to propose a typology of legal research tasks based on existing computer and information science scholarship and draft corresponding questions using the typology, with rubrics others can use to score the tools they use.

Subjects: AI, KM, Legal Research, Legal Research Training, Legal Technology, Search Engines, Search Strategies

Pete Recommends – Weekly highlights on cyber security issues, December 23, 2023

Privacy and cybersecurity issues impact every aspect of our lives – home, work, travel, education, finance, health and medical records – to name but a few. On a weekly basis Pete Weiss highlights articles and information that focus on the increasingly complex and wide ranging ways technology is used to compromise and diminish our privacy and online security, often without our situational awareness. Four highlights from this week: Google brings privacy washing to Android; Xfinity discloses data breach after recent Citrix server hack; How to Check If Something Online Was Written by AI; and Artificial intelligence can find your location, alarming privacy experts.

Subjects: AI, Criminal Law, Cybercrime, Cybersecurity, Financial System, Government Resources, Information Management, Legal Research, Privacy, Search Engines, Search Strategies, Spyware

Why Google, Bing and other search engines’ embrace of generative AI threatens $68 billion SEO industry

Dr. Ravi Sen discusses how Google, Microsoft and others boast that generative artificial intelligence tools like ChatGPT will make searching the internet better than ever for users. For example, rather than having to wade through a sea of URLs, users will be able to just get an answer combed from the entire internet. There are also some concerns with the rise of AI-fueled search engines, such as the opacity over where information comes from, the potential for “hallucinated” answers and copyright issues. But one other consequence is that I believe it may destroy the US$68 billion search engine optimization industry that companies like Google helped create.

Subjects: AI, AI in Banking and Finance, Economy, Search Engines, Search Strategies

Gliding, not searching: Here’s how to reset your view of ChatGPT to steer it to better results

Human factors engineer James Intriligator makes a clear and important distinction for researchers: that unlike a search engine, with static and stored results, ChatGPT never copies, retrieves or looks up information from anywhere. Rather, it generates every word anew. You send it a prompt, and based on its machine-learning training on massive amounts of text, it creates an original answer. Most importantly, each chat retains context during a conversation, meaning that questions asked and answers provided earlier in the conversation will inform responses it generates later. The answers, therefore, are malleable, and the user needs to participate in an iterative process to shape them into something useful.

Subjects: AI, KM, Search Engines, Search Strategies

The Case For Large Language Model Optimism in Legal Research From A Law & Technology Librarian

The emergence of Large Language Models (LLMs) in legal research signifies a transformative shift. This article by Sean Harrington critically evaluates the advent and fine-tuning of Law-Specific LLMs, such as those offered by Casetext, Westlaw, and Lexis. Unlike generalized models, these specialized LLMs draw from databases enriched with authoritative legal resources, ensuring accuracy and relevance. Harrington highlights the importance of advanced prompting techniques and the innovative utilization of embeddings and vector databases, which enable semantic searching, a critical aspect in retrieving nuanced legal information. Furthermore, the article addresses the ‘Black Box Problem’ and explores remedies for transparency. It also discusses the potential of crowdsourcing secondary materials as a means to democratize legal knowledge. In conclusion, this article emphasizes that Law-Specific LLMs, with proper development and ethical considerations, can revolutionize legal research and practice, while calling for active engagement from the legal community in shaping this emerging technology.

Subjects: AI, KM, Law Librarians, Legal Research, Legal Research Training, LEXIS, Search Engines, Search Strategies, Westlaw

Pete Recommends – Weekly highlights on cyber security issues, May 7, 2023

Privacy and cybersecurity issues impact every aspect of our lives – home, work, travel, education, health and medical records – to name but a few. On a weekly basis Pete Weiss highlights articles and information that focus on the increasingly complex and wide ranging ways technology is used to compromise and diminish our privacy and online security, often without our situational awareness. Four highlights from this week: You Can’t Trust Your Browser’s ‘Lock’ to Tell You a Website Is Safe; So long passwords, thanks for all the phish; Amazon Clinic patients must sign away some privacy rights under HIPAA; and Apple and Google Collaborate on Anti-Stalker Tech.

Subjects: AI, Communications, Criminal Law, Cybercrime, Cybersecurity, E-Commerce, Health, KM, Privacy, Search Engines, Search Strategies, Social Media

Pete Recommends – Weekly highlights on cyber security issues, April 30, 2023

Privacy and cybersecurity issues impact every aspect of our lives – home, work, travel, education, health and medical records – to name but a few. On a weekly basis Pete Weiss highlights articles and information that focus on the increasingly complex and wide ranging ways technology is used to compromise and diminish our privacy and online security, often without our situational awareness. Four highlights from this week: Privacy Guides – Search Engines; The true numbers behind deepfake fraud; 6 riskiest medical devices for cybersecurity; and ‘As an AI language model’: the phrase that shows how AI is polluting the web.

Subjects: Cybercrime, Cyberlaw, Cybersecurity, Government Resources, Internet Trends, Legal Research, Privacy, Search Engines, Search Strategies, Social Media