Blog – Page 7

Pete Recommends – Weekly highlights on cyber security issues, February 28, 2026

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. Five highlights from this week: DHS Wants a Single Search Engine to Flag Faces and Fingerprints Across Agencies; LinkedIn ID verification data will likely be shared with third parties; AI controls are coming to Firefox; Meta Employee Shares OpenClaw Email-Deletion Nightmare; and This App Warns You if Someone Is Wearing Smart Glasses Nearby.

Subjects: AI, Civil Liberties, Cryptocurrency, Cybercrime, Cybersecurity, Economy, Email Security, Financial System, Legal Research, Search Engines, Social Media

How I Use ChatGPT to Create a CLE PowerPoint Deck

Jennifer Ellis documents the step-by-step process and prompts she used to create an effective ChatGPT PowerPoint presentation on cybersecurity. This template is applicable to multiple subject matters. Ellis allows highlights relevant sources and tools for attorneys to use to create AI generated PowerPoints.

Subjects: AI, Communications, Continuing Legal Education

What the Science Says About Hallucinations in Legal Research

Over the past three years, researchers have published dozens of studies examining exactly when and why AI fails at legal tasks—and the patterns are becoming clearer. The research is clear: AI hallucinations in legal work are real, measurable, and follow predictable patterns. Rebecca Fordon evaluates the data and research that documents six critical patterns lawyers must understand to make sound, actionable and effective decisions about using AI.

Subjects: AI, KM, Legal Research, Legal Research Training, Legal Technology

AI Under the Hood

Knowing the difference between a general AI tool and one trained on specific sources can mean the difference between getting an accurate answer and becoming quickly frustrated with outcomes that either don’t answer the question thoroughly or answer the question in a confused mixture of fact and fiction. While not always clear, the data that lies behind the GenAI tool is just as important to consider as the user interface or the cost. Without trustworthy or relevant underlying information, the resulting AI-generated output will be less helpful or less trusted and result in inefficiencies as lawyers and staff work to fill the gaps in the GenAI’s response. Considering these factors, Kristopher Turner’s article identifies how and why a retrieval augmented generation (RAG) can give focused and highly specific answers related to one area that someone needs to quickly understand.

Subjects: AI, KM, Legal Education, Legal Profession, Legal Research, Legal Technology, Search Engines

The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself

Over the past eight years Nir Eisikovits and Jacob Burley have been studying the moral implications of pervasive engagement with AI as part of a joint research project between the Applied Ethics Center at UMass Boston and the Institute for Ethics and Emerging Technologies. In a recent white paper, we argue that as AI systems become more autonomous, the ethical stakes of AI use in higher ed rise, as do its potential consequences.

Subjects: AI, Education, Ethics, KM

AI Prompting for Legal Professionals

Technology has advanced tremendously in the 21st century, but “garbage in, garbage out” still applies. Bonnie Shucha discusses how prompting is simply the art of asking generative AI the right question in the right way. Shucha advocates using a systematic approach, such as the “7 Ps Framework,” to help you guide AI more effectively by providing seven key elements to consider when crafting prompts: persona, product, prompt, purpose, prime, privacy, and polish. You won’t always need all seven elements, but understanding each component helps you make deliberate choices about what to include in your prompt.

Subjects: AI, Legal Research

Agentic AI in the Wild: Lessons from Moltbook and OpenClaw

Tools like OpenClaw – the open-source AI agent that underpins Moltbook – are only possible because of the rapidly developing, and publicly available, capabilities of frontier large language models such as Anthropic’s Claude. Ardi Janjeva, Carolyn Ashurst and Rick Hennessy of the Alan Turing Institute discuss how the recent Moltbook frenzy illustrates the interaction between these capabilities and human behaviour is far from straightforward: users both deliberately and inadvertently behave in ways that significantly amplify the risks that applications like OpenClaw introduce.

Subjects: AI, KM, Legal Research

AI in Finance and Banking, February 15, 2026

This semi-monthly column by Sabrina I. Pacifici highlights news, government documents, NGO/IGO papers, conferences, industry white papers and reports, academic papers and speeches, and central bank actions on the subject of AI’s fast paced impact on the banking and finance sectors. The chronological links provided are to the primary sources, and as available, indicate links to alternate free versions. Five highlights from this post: A.I. and Our Economic Future; The financial stability implications of artificial intelligence and digital finance; Agentic AI In Financial Services: Where To Start And How To Scale?; AI, Opinion Ecosystems, and Finance; and How AI debt financing impacts duration supply and interest rates.

Subjects: AI in Banking and Finance, Financial System, Legal Research