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