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.
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
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.
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