Professor Richard Forno highlights the fragility of our enterprise IT systems against the backdrop of the global information technology outage on July 19, 2024 that paralyzed organizations ranging from airlines to hospitals and the delivery of uniforms for the Olympic Games, representing a growing concern for cybersecurity professionals, businesses and governments.
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.
In 2021, a company specializing in collecting and selling location data called Near bragged that it was “The World’s Largest Dataset of People’s Behavior in the Real-World,” with data representing “1.6B people across 44 countries.” Last year the company went public with a valuation of $1 billion (via a SPAC). Seven months later it filed for bankruptcy and has agreed to sell the company. Jon Keegan highlights the ramifications to the public.
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.
Whether speaking with lawyers and law students who haven’t gotten around to trying ChatGPT or collaborating with post-doc explainable and legal AI experts with 20+ years of machine learning and Natural Language Processing experience, Colin Lachance, legal tech innovator and leader, is no closer to understanding in what way and precisely when permanent change will come, but is unshakeably convinced that change will be enormous, uneven, disruptive and, in many cases, invisible.
Professor Nicole Gillespie, and Research Fellows Caitlin Curtis, Javad Pool and Steven Lockey, discuss their new 17-country study involving over 17,000 people reveals how much and in what ways we trust AI in the workplace, how we view the risks and benefits, and what is expected for AI to be trusted. They find that only one in two employees are willing to trust AI at work. Their attitude depends on their role, what country they live in, and what the AI is used for. However, people across the globe are nearly unanimous in their expectations of what needs to be in place for AI to be trusted.
The premise of this article by COO and legal technologist Kenneth Jones is that individual capabilities and excellence (either legal or technical) standing alone are not enough to ensure long-term, sustainable success. No superstar technologist or lawyer is equipped to do it all, as there are too many specialties and functional roles which need to be filled. Rather, a better approach is to construct team-based, cross-functional units that offer greater operational efficiency while building in layers of redundancy that reduce the potential for surprises, errors, or disruption. This comprehensive and actionable guide validates deploying the cross-functional team approach across the enterprise.
Attorney and legal tech expert Jerry Lawson’s positive review of this new book states: “It’s the best way to spend $100 I can imagine for any lawyer looking to improve their bottom line. Any lawyer who wants to lead the way (or at least avoid being crushed by inevitable changes) needs this book.”
ChatGPT has taken the world by storm. Within two months of its release it reached 100 million active users, making it the fastest-growing consumer application ever launched. Users are attracted to the tool’s advanced capabilities – and concerned by its potential to cause disruption in various sectors. A much less discussed implication is the privacy risks ChatGPT poses to each and every one of us. Just yesterday, Google unveiled its own conversational AI called Bard, and others will surely follow. Technology companies working on AI have well and truly entered an arms race. Uri Gal identifies a significant issue not discussed in the current hype – this technology is fuelled by our personal data.
Patrick J. McKenna is an internationally recognized author, lecturer, strategist and seasoned advisor to the leaders of premier law firms. McKenna’s deep dive into law firm strategic planning delivers a detailed guide on the major errors to circumvent to establish a winning competitive position going forward.