Category «AI»

Pete Recommends – Weekly highlights on cyber security issues, September 21, 2024

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: FTC Says Social Media Platforms Engage in ‘Vast Surveillance’ of Users; AI voices are officially too realistic; Tor Network Denies Report That ‘Anonymity Is Completely Canceled’; ‘Terrorgram’ Charges Show US Has Had Tools to Crack Down on Far-Right Terrorism All Along; and DuckDuckGo Joins AI Chat, Promises Enhanced Anonymity.

Subjects: AI, Cybercrime, Cybersecurity, Internet Trends, Privacy, Search Engines, Search Strategies, Social Media, Spyware, Technology Trends

AI in Finance and Banking, September 16, 2024

This semi-monthly column by Sabrina I. Pacifici highlights news, government reports, NGO/IGO papers, industry white papers, academic papers and speeches 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. Six highlights from this post: The Imperative to Realizing AI’s Potential in Banking: Finding the Right Fit; The Impact of Cloud Computing and AI on Industry Dynamics and Concentration; Empowering Global Banking Through AI-Driven Risk Management: A Practical Framework for Optimization and Methodological Integration; AI-Driven Failed Trials in Investment Strategies: A Network Data Analysis Approach; Harvard Business School (HBS) has published a case study on DBS’ strategy towards Artificial Intelligence (AI), highlighting the bank’s use of AI; and Banks bet on a tech surge. It’s paying off big time as AI, software bring ‘sea change’ in productivity.

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

Pete Recommends – Weekly highlights on cyber security issues, September 14, 2024

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: Why digital identity should be a priority for the next president; Google, TSA Testing New “ID Pass” in Wallet, Created by Scanning Passport; Google sued over AI-driven tool for customer service call review; and Reolink’s battery-powered security camera can record for days without subscription fees; and This Tool Finds Matching Usernames Across 400 Social Media Networks.

Subjects: AI, Cybercrime, Cybersecurity, Financial System, Law Library Management, Privacy, Search Engines, Search Strategies

Pete Recommends – Weekly highlights on cyber security issues, August 31, 2024

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. Six highlights from this week: Remote Work: A Ticking Time Bomb Waiting to be Exploited; Microsoft to overhaul Windows security after outage hits hospitals; How safe is Telegram?; Wyze’s new AI feature lets users search security cam footage; Safeguarding Subsea Cables Protecting Cyber Infrastructure amid Great Power Competition; and When A.I.’s Output Is a Threat to A.I. Itself.

Subjects: AI, Cybercrime, Cybersecurity, Government Resources, Healthcare, Privacy

Artificial Intelligence and the Law

David Colarusso founded and co-directs the Suffolk University Law School’s Legal Innovation & Technology (LIT) Lab. By training he is an attorney and science educator. By experience, he’s a data scientist, craftsman, and writer. LLRX is pleased to share what Colarusso states is not a traditional syllabus, because this class he is teaching is not a traditional class. He won’t just ask you to “think like a lawyer,” he will require that you act like one. In-class time will be devoted mostly to running simulations of varying fidelity for ten potentially precedent making cases and arguing the merits of proposed AI legislation. In addition to serving as an attorney—taking a case from trial through appeal—you will have the chance to act as a judge, jury, legislator, and legislative advisor. He says…”we’re in for some serious play.”

Subjects: AI, Communications, Courts & Technology, Education, Legal Research, Legislative, United States Law

How Can Law Professors Effectively Teach AI Literacy to Law Students? Legal AI Studio

This spring the Michigan State University College of Law and the MSU Center for Law, Technology & Innovation introduced the “LegalRnD AI Studio,” a groundbreaking mini-course series designed to elevate law students’ AI literacy, focusing on practical skills in generative AI. Dennis Kennedy shares how you can replicate this successful model and provide your students with the essential AI literacy they need at your school.

Subjects: AI, Education, Law Librarians, Legal Education, Legal Profession, Legal Research, Legal Research Training

ChatGPT is bullshit

Recently, there has been considerable interest in large language models: machine learning systems which produce human-like text and dialogue. Applications of these systems have been plagued by persistent inaccuracies in their output; these are often called “AI hallucinations”. Dr. Michael Townsen Hicks, Dr. James Humphries and Dr. Joe Slater argue that these falsehoods, and the overall activity of large language models, is better understood as bullshit in the sense explored by Frankfurt (On Bullshit, Princeton, 2005): the models are in an important way indifferent to the truth of their outputs. They distinguish two ways in which the models can be said to be bullshitters, and argue that they clearly meet at least one of these definitions. They further argue that describing AI misrepresentations as bullshit is both a more useful and more accurate way of predicting and discussing the behaviour of these systems.

Subjects: AI, Big Data, Information Management, Internet Resources, KM, Legal Research, Search Engines, Technology Trends

Is Your Firm Disclosing the Risks Associated to Using AI?

Patrick Mckenna calls out the importance to the legal community of a new public database, the AI Risk Repository, that lists ALL the ways AI could go wrong. Its creators hope their work could lead to further research to determine which risks to take more seriously.Its creators hope their work could lead to further research to determine which risks to take more seriously.

Subjects: AI, Cybersecurity, Law Firm Marketing, Legal Profession, Legal Research, Legal Technology

Rejecting Dogmas Around AI, User Privacy, and Tech Policy

The Markup’s Ross Teixeira had a virtual discussion with Jonathan Frankle, Chief Scientist at DataBricks, about the the ethics of companies using customer data to train models, the growing trend of integrating AI models into our personal devices and lives, and how people can get involved in policy conversations from national to local level.

Subjects: AI, Big Data, PDAs (Personal Digital Assistants), Privacy

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