Inevitable, or incredible.
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4347630
ChatGPT,
Professor of Law
Although
ChatGPT was just released by OpenAI in November 2022, legal scholars
have already been delving into the implications of the new tool for
legal education and the legal profession. Several scholars have
recently written fascinating pieces examining ChatGPT’s ability to
pass the bar, write a law review article, create legal documents, or
pass a law school exam. In the spirit of those experiments, I
decided to see whether ChatGPT had potential for lightening the
service and teaching loads of law school professors.
To
conduct my experiment, I created an imaginary law school professor
with a tough but typical week of teaching- and service- related tasks
ahead of her. I chose seven common tasks: creating a practice exam
question, designing a hand-out for a class, writing a letter of
recommendation, submitting a biography for a speaking engagement,
writing opening remarks for a symposium, developing a document for a
law school committee, and designing a syllabus for a new course. I
then ran prompts for each task through ChatGPT to see how well the
system performed the tasks.
Remarkably,
ChatGPT was able to provide useable first drafts for six out of seven
of the tasks assigned in only 23 minutes. Overall and
unsurprisingly, ChatGPT
proved to be best at those tasks that are most routine.
Tasks that require more sophistication, particularly those related to
teaching, were harder for ChatGPT, but still showed potential for
time savings.
In
this paper, I describe a typical work scenario for a hypothetical law
professor, show how she might use ChatGPT, and analyze the results.
I conclude that ChatGPT can drastically reduce the service-related
workload of law school faculty and can also shave off time on
back-end teaching tasks. This freed-up time could be used to either
enhance scholarly productivity or further develop more sophisticated
teaching skills.
(Related)
https://www.bespacific.com/where-is-chatgpt-taking-us/
Where
is ChatGPT taking us?
JHU
Hub:
“And do we want to follow? Johns Hopkins computer scientist
Daniel Khashabi discusses the pros and cons of the revolutionary
natural-language processing tool—and predicts where it may head in
the future. To those working in artificial intelligence, ChatGPT is
not merely an overnight sensation, but a mark of achievement after
years of experimentation, says Johns Hopkins assistant computer
science professor Daniel
Khashabi,
who specializes in language processing and has worked on similar
tools. “ChatGPT may seem like a sudden revolution that came out of
nowhere,” he says. “But this technology has been developing
gradually over many years, with swift progress in the last few.”
However, Khashabi acknowledges the unprecedented era that ChatGPT
seems to initiate, one brimming with potential for human advancement.
“This is really our chance to revise our understanding of what it
means to be intelligent,” he says. “It’s an exciting time
because we have this chance to work on new challenges and new
horizons that used to feel out of our reach.” As Microsoft
invests in
the tool, OpenAI releases a
paid version,
and Google
plans to release its own experimental chatbot,
the Hub checked in with Khashabi for insight on the technology and
where it’s headed…”
Really?
Three quarters?
https://futurism.com/the-byte/poll-americans-distrust-ai
ALMOST
THREE QUARTERS OF AMERICANS DISTRUST ARTIFICIAL INTELLIGENCE
WHO
AMONG US CAN SAY THEY'RE NOT WORRIED?
Shocker:
people aren't quite sure that they trust artificial intelligence to
operate
in their best interests,
per a new poll.
In
a press
release,
the think tank MITRE released the results of a new poll, conducted in
tandem with the marketing research firm Harris, that asked people
their opinions about AI. Spoiler alert: they lowkey hate it!
Interesting.
If all of these functions are not being performed in your
orgsnization, something is screwy.
https://www.makeuseof.com/job-responsibilities-ai-analyst/
8
Key Job Responsibilities of an AI Analyst
Curious
about what an AI analyst does on a day-to-day basis? Here are the
key responsibilities to help you decide if it's the right career for
you.
Another
reason to remove lawyers (the human ones) from the Justice system.
https://www.theatlantic.com/ideas/archive/2023/02/ai-in-criminal-justice-system-courtroom-asylum/673002/
Can
AI Improve the Justice System?
A
fairer legal system may need to be a little less human.
The
system for granting asylum in the U.S. has long been a political
point of contention. Democrats and Republicans debate how liberal or
restrictive its rules should be, but evidence suggests that the fate
of some asylum seekers may be less influenced by the rules than by
something far more arbitrary: the judge they’re assigned.
A
2007 study titled “Refugee
Roulette”
found that one judge granted asylum to only 5 percent of Colombian
applicants, whereas another—working in the same building and
applying the same rules—granted it to 88 percent.
Keeping
up.
https://www.bespacific.com/openais-chatgpt-heres-how-to-use-it/
OpenAI’s
ChatGPT – here’s how to use it
Insider:
ChatGPT
has taken the internet by storm since it launched in November.
The
AI-powered chatbot can do everything from pass
MBA exams to
successfully
negotiate a raise.
If
you haven’t tried it yet, here’s a step-by-step walkthrough of
how to access and use ChatGPT.
If
you want to give the new Bing a whirl, you can find instructions on
how to access it here.
See
also Via Wired
–
The Artificial Intelligence Database: Conduct a free text search or
search by: application; end user; sector; source data; technology.
(Related)
https://mashable.com/uk/deals/free-online-ai-chatgpt-courses
5
of the best online AI and ChatGPT courses available for free this
week
Law
down under.
https://www.tandfonline.com/doi/full/10.1080/10383441.2023.2170616
Government
surveillance and facial recognition in Australia: a human rights
analysis of recent developments
Surveillance
technologies – particularly digital surveillance technologies –
have proliferated and become increasingly powerful in recent years.
This article discusses recent and emerging legal and policy
developments in Australia with respect to facial recognition and
related technologies in particular. It analyses these developments
from the perspective of international human rights law, focussing on
privacy and related rights. The article contends that greater
attention needs to be paid in Australia to the risks to human rights
posed by these technologies, both in the development of policy and
legislation, and on the part of a citizenry which stands to have its
freedom significantly restricted in the coming years.
Will
my AI make me rich?
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4349078
A
Primer on Artificial Intelligence and Machine Learning for the
Financial Services Industry
This
primer provides a comprehensive overview of the applications of
Artificial Intelligence (AI) and Machine Learning (ML) in the
financial services industry. It covers the various use cases of AI
and ML, including fraud detection, customer behavior analysis, loan
underwriting, investment management, algorithmic trading, and risk
management. The primer also highlights the challenges and
limitations of AI and ML in finance, including data quality, privacy,
model bias, fairness, and regulatory and ethical considerations. The
future outlook and trends in AI and ML for finance are discussed,
along with the advancements, emerging applications, and impact of AI
and ML on the financial services industry. The primer concludes with
a summary of key points and final thoughts and recommendations for
the use of AI and ML in finance.
