Sunday, March 15, 2026

Ethics for all actually.

https://scholarworks.uark.edu/arlnlaw/27/

Ethics Of Artificial Intelligence For Lawyers: Resistance Is Futile: Candor, Supervision, And Fees

In Star Trek: The Next Generation, the Borg deliver their iconic warning to every species they encounter: “Resistance is futile.” The line resonates because it conveys the inevitability that once the Borg arrive, escape is no longer an option.

For lawyers, the duties of candor, supervision, and fairness in fees are just as inescapable. ABA Formal Opinion 512 (“ABA Opinion”) makes clear that, regardless of how powerful artificial intelligence becomes, it cannot relieve attorneys of their obligation. Attorneys must verify what they file, oversee how their colleagues use the technology, and ensure that clients are charged fairly. This installment examines those three pillars, showing how courts and the ABA are making plain that ethical rules still govern.



(Related)

https://scholarworks.uark.edu/arlnlaw/26/

Ethics Of Artificial Intelligence For Lawyers: You Will Be Assimilated: Best Practices For Lawyers Using Artificial Intelligence

This installment explores the best practices for responsible adoption: protecting client confidentiality, addressing AI openly in engagement letters, learning the skill of prompt engineering, and preparing for the workforce changes AI will accelerate. Assimilation may be inevitable, but the terms of assimilation, ethical, careful, client-centered, are still within the control of the profession.





A scary thought that I ain’t thunk yet.

https://scholarship.law.ufl.edu/jtlp/vol30/iss1/2/

Python Hunting: How Laws that Protect the Everglades from the Invasive Burmese Python, Including Eradication Programs, Can Inform the Regulation of Objects Controlled by Artifical Intelligence

This Article explores the surprisingly apt analogy between the Burmese python problem in the Florida Everglades and abandoned objects that are controlled by artificial intelligence (AI). With few natural predators, the invasive Burmese python, which was likely introduced to the Everglades through abandonment by pet owners, has threatened native species with extinction. Objects controlled by AI, which we will likely increasingly share our environment with, such as autonomous taxis and food delivery robots, as well as a variety of objects that are used by the military, may be abandoned by their owners and continue to operate. Over time, these objects may be given increasing levels of agency and learn from their environments, making them potentially more dangerous. These objects are likely to create material losses if allowed to run amok. The Burmese python similarly has agency and has run amok.

Beyond the superficial analogy between these two paradigms, this Article provides an interesting thought journey aimed at finding a precedent to cling to when we predict and analyze a problem that hasn’t fully emerged but is likely on the horizon. Borrowing frameworks from other areas of law when writing atop a blank slate is a time-honored tradition in American law. What is old can be new again, and we have seen—and wrestled with—the essence of this problem before. Unfortunately, we seem to be fighting a losing battle against the pythons in the Everglades. Hopefully, creative solutions, technology and the dedication of resources will cause the tide to turn. Sounding the alarm now about autonomous AI objects can help us predict problems in advance and create mechanisms for the mitigation of losses and ultimate redress when harm occurs, unlike the situation in the Everglades.





For want of a nail…

https://finance.yahoo.com/news/iran-war-could-wreak-havoc-on-farmers-create-a-potential-bottleneck-for-the-entire-ai-story-171240723.html

Iran war could wreak havoc on farmers, create a potential 'bottleneck for the entire AI story'

Earlier this month, Qatar shut down one of the world's largest energy hubs due to drone attacks. That halted production of liquefied natural gas and helium, a byproduct of natural gas extraction. The disruption accounts for about one-third of the global helium supply, according to Bloomberg estimates.

Helium has essential uses, including in magnetic resonance imaging (MRI) and welding, as well as electronics and semiconductor manufacturing, which consumes a large portion of the world's supply. It's crucial for rapidly cooling chips during fabrication to prevent overheating and defects.





It’s like…

https://academic.oup.com/jiplp/advance-article/doi/10.1093/jiplp/jpag018/8509416?guestAccessKey=

Metaphors we judge (AI) by: a rhetorical analysis of artificial copyright disputes

  • This article is a ‘metaphorical’ guide to today’s most pressing artificial intelligence (AI) copyright questions, focusing in particular on the EU and the USA. Is unauthorized training on copyright-protected works permitted? Can AI models copy? And is AI-generated output itself protected? As this article demonstrates, debates on these questions can all be traced back to a handful of crucial metaphors.

  • After all, generative AI is hardly comprehensible without the extensive use of metaphors and analogies. Most notably, AI is systematically conceptualized in human terms such as ‘neural networks’ that ‘learn’, ‘know’ or ‘memorize’. This article aims to demonstrate how such metaphors (unconsciously) influence legal evaluations and even judicial decisions in copyright law.

  • The resulting analysis is particularly relevant to lawyers, judges and artists interested in copyright and its intersection with AI. Yet, it may also appeal to those interested in AI, legal reasoning and language more generally, as metaphors and their (rhetorical) effects are by no means unique to copyright and may be equally relevant in fields such as privacy law and (legal) philosophy.





The whole book.

https://www.researchgate.net/profile/Sayed-Mahbub-Hasan-Amiri-2/publication/401660183_The_AI_Classroom_How_Artificial_Intelligence_Will_Reshape_Teaching_and_Learning/links/69ac6250bff9750ad9c95e3e/The-AI-Classroom-How-Artificial-Intelligence-Will-Reshape-Teaching-and-Learning.pdf

The AI Classroom: How Artificial Intelligence Will Reshape Teaching and Learning