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.
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.
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.
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.
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
This guide by Marcus P. Zillman is a selected list of free and fee based (some require subscriptions), people finding resources, from a range of providers. A significant number of free sources on this subject matter are sourced from public records obtained by a group of companies who initially offer free information to establish your interest, from which point a more extensive report requires a fee to obtain. It is important to note that can be many errors in these data, including the inability to correctly de-duplicated individuals with the same common names. Also note that each service targets a different mix of identifying data such as: name, address, date of birth, phone numbers, email addresses, relatives, education, employment, criminal records. social media accounts, income. As we conduct research throughout the day it is useful to employ both impromptu and planned searches about individuals that are referenced.
In a recent paper, Prof. Chantelle Gray coined the term “algopopulism”: algorithmically aided politics. The political content in our personal feeds not only represents the world and politics to us. It creates new, sometimes “alternative”, realities. It changes how we encounter and understand politics and even how we understand reality itself.
In preparation for a presentation about race and academic libraries, Curtis Kendrick, formerly Dean and currently Binghamton University Libraries Faculty and Staff mentor, tried ChatGPT (Jan 9 version) to see what it (they?) had to say. He was curious about how it worked and how accurately it responded to queries. For our consideration, Kendrick offers his analysis of this interaction.
Attorney and legal technologist Nicole Black cautions user that ChatGPT is a great start, but that’s all it is. No matter what you’re using ChatGPT for, whether for personal or professional reasons, you’ll need to have a full understanding of the topic at hand and thoroughly review, edit, and supplement the draft language it provides you.
Marcus P. Zillman’s guide addresses the challenging landscape of healthcare information that proliferates on the internet. A large measure of the information hosted on self described authoritative health and healthcare sites is grounded in speculative, e-commerce drive subject matter. Search engines drive traffic to these sites with no transparent and accountable data – the objective being SEO, web tracking and other revenue driven applications. This guide identifies reliable, accurate sites that publish data and research, as well as provide applications, on traditional western as well as some eastern medicine, sponsored and published by government, NGO/IGO, research and academic institutions, hospitals, subject matter journals – in the United States and abroad.