Also relevant/see:


Learning Designers will have to adapt or die. 10 ways to UPSKILL to AI…. — from donaldclarkplanb.blogspot.com by Donald Clark

Learning Designers need to upskill


From Ethan Mollick on LinkedIn:

Take a look at this simulated negotiation, with grading and feedback. Prompt: “I want to do deliberate practice about how to conduct negotiations. You will be my negotiation teacher. You will simulate a detailed scenario in which I have to engage in a negotiation. You will fill the role of one party, I will fill the role of the other. You will ask for my response to in each step of the scenario and wait until you receive it. After getting my response, you will give me details of what the other party does and says. You will grade my response and give me detailed feedback about what to do better using the science of negotiation. You will give me a harder scenario if I do well, and an easier one if I fail.”

Samples from Bing Creative mode and ChatGPT-4 (3.5, the free version, does not work as well)


I’m having a blast with ChatGPT – it’s testing ME! — from by Mark Mrohs
Using ChatGPT as an agent for asynchronous active learning

I have been experimenting with possible ways to incorporate interactions with ChatGPT into instruction. And I’m blown away. I want to show you some of what I’ve come up with.

 

The above Tweet links to:

Pause Giant AI Experiments: An Open Letter — from futureoflife.org
We call on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4.



However, the letter has since received heavy backlash, as there seems to be no verification in signing it. Yann LeCun from Meta denied signing the letter and completely disagreed with the premise. (source)


In Sudden Alarm, Tech Doyens Call for a Pause on ChatGPT — from wired.com by Will Knight (behind paywall)
Tech luminaries, renowned scientists, and Elon Musk warn of an “out-of-control race” to develop and deploy ever-more-powerful AI systems.


 

Building a bridge to justice from the other side — from jordanfurlong.substack.com by Jordan Furlong
Our professional-centric approach to resolving unmet legal needs hasn’t worked. Maybe it’s time we empowered the people who are already there.

An enormous and intricate bridge with parts of it bending down and part of it bending up -- creating a criss-cross pattern

Excerpts:

Given all that, I think it’s time we tried demand-side approach instead — one that doesn’t require us to licence and deploy more legal services professionals, but instead focuses on and empowers those who are already dealing with people’s unmet and unrecognized legal needs.

So if we’re not looking for legal professionals, who are we looking for? If we take a user-centred, needs-focused approach, we’ll find ourselves looking for someone who’s familiar to and trusted by the vulnerable people with unmet legal needs, who’s walked with them, earned their confidence over time — “someone who looks like them, understands their situation, and are trusted members of their community.”

These individuals are already present in the lives of people with unmet legal needs. They’re community activists, librarians, hospital employees, teachers, social workers, homeless advocates, therapists, food bank employees, members of a religious order, financial counsellors, mental health clinic staffers, juvenile case workers, and many others.

 


Also from Julie Sobowale, see:

  • Law’s AI revolution is here — from nationalmagazine.ca
    At least this much we know. Firms need to develop a strategy around language models.

Also re: legaltech, see:

  • Pioneers and Pathfinders: Richard Susskind — from seyfarth.com by J. Stephen Poor
    In our conversation, Richard discusses the ways we should all be thinking about legal innovation, the challenges of training lawyers for the future, and the qualifications of those likely to develop breakthrough technologies in law, as well as his own journey and how he became interested in AI as an undergraduate student.

Also re: legaltech, see:

There is an elephant in the room that is rarely discussed. Who owns the IP of AI-generated content?

 

ChatGPT and AI Applications for In-house Lawyers — from docket.acc.com by Spiwe L. Jefferson

Excerpt:

The explosive emergence of ChatGPT as a consumer tool has catapulted Artificial Intelligence (AI) and its subfield, natural language processing (NLP), to the technology stage. As AI and NLP continue to evolve, the use of AI-powered tools, such as the Generative Pre-trained Transformer (GPT), in the legal industry has become increasingly prevalent. Many lawyers are experimenting with AI and grappling with its applications to streamline practices and improve efficiency.

While GPT and other AI-powered tools can potentially revolutionize aspects of the legal profession, it is important to consider the current limitations and potential pitfalls in implementing these technologies.

017 | Post-Event Learnings w/ AI Prompts |Brainyacts #17 — from thebrainyacts.beehiiv.com

Excerpt:

Earlier this week some of you were at Legalweek in New York. Others of you joined Terri Mottershead and the Centre for Legal Innovation to talk about what consultants think about ChatGPT/Generative AI.

Far too many of us attend these events and never take the time to invest in ourselves and our organizations by capturing our learnings and insights.

In fact, I will go a step further.

If your organization paid for you to go, there is an obligation to transfer your personal experience into one that benefits the organization. Sort of a return on investment for the $ and time away from the office.

 

From DSC:
While I continue to try and review/pulse-check the K12 learning ecosystem, it struck me that we need new, DIRECT communication channels between educators, support staff, administrators, and legislators — and possibly others.

That is:

  • How can teachers, support staff, and administrators talk directly to legislators?
  • How can legislators communicate with teachers, support staff, and administrators?
  • Should we require relevant legislators (i.e., those individuals sponsoring bills or major changes to our k12 learning ecosystem) to go through training on how students learn?
  • What communication vehicles are present? Can they be anonymous?
  • Should there be an idea 1-800 hotline or an idea “mailbox” (digital and/or analog based)?

And what about the students themselves and/or their parents/guardians? Should they be involved as well?

 

Law has a magic wand now — from jordanfurlong.substack.com by Jordan Furlong
Some people think Large Language Models will transform the practice of law. I think it’s bigger than that.

Excerpts:

ChatGPT4 can also do things that only lawyers (used to be able to) do. It can look up and summarize a court decisionanalyze and apply sections of copyright law, and generate a statement of claim for breach of contract.

What happens when you introduce a magic wand into the legal market? On the buyer side, you reduce by a staggering degree the volume of tasks that you need to pay lawyers (whether in-house or outside counsel) to perform. It won’t happen overnight: Developing, testing, revising, approving, and installing these sorts of systems in corporations will take time. But once that’s done, the beauty of LLMs like ChatGPT4 is that they are not expert systems. Anyone can use them. Anyone will.

But I can’t shake the feeling that someday, we’ll divide the history of legal services into “Before GPT4” and “After GPT4.” I think it’s that big.


From DSC:
Jordan mentions: “Some people think Large Language Models will transform the practice of law. I think it’s bigger than that.”

I agree with Jordan. It most assuredly IS bigger than that. AI will profoundly impact many industries/disciplines. The legal sector is but one of them. Education is another. People’s expectations are now changing — and the “ramification wheels” are now in motion.

I take the position that many others have as well (at least as of this point in time) that take the position that AI will supplement humans’ capabilities and activities. But those who know AI-driven apps will outcompete those who don’t know about such apps. 

 

How AI will revolutionize the practice of law — from brookings.edu by John Villasenor

Artificial intelligence (AI) is poised to fundamentally reshape the practice of law. 

Excerpt:

BROADENING ACCESS TO LEGAL SERVICES
AI also has the potential to dramatically broaden access to legal services, which are prohibitively expensive for many individuals and small businesses. As the Center for American Progress has written, “[p]romoting equal, meaningful access to legal representation in the U.S. justice system is critical to ending poverty, combating discrimination, and creating opportunity.”

AI will make it much less costly to initiate and pursue litigation. For instance, it is now possible with one click to automatically generate a 1000-word lawsuit against robocallers. More generally, drafting a well-written complaint will require more than a single click, but in some scenarios, not much more. These changes will make it much easier for law firms to expand services to lower-income clients.

 

Begun, the AI lawsuits have — from bloomberg.com by Brad Stone

Excerpt:

A few intellectual property lawsuits have already been lobbed at the makers of these AI services. Getty sued Stability AI for building its image database by scraping millions of online images, many protected by copyright. In a similar suit, a San Francisco-based class action firm representing three artists sued Stability AI, DeviantArt and Midjourney for training their model with billions of copyrighted images. News publishers have also criticized OpenAI for using their articles to train its AI tools.

But the complaints focus on the creation and training of databases that feed these new AI engines — the inputs. It remains to be seen how rights holders will interpret the output — Yoda’s ramblings, for example — which have been coopted by Character.AI and its ilk without permission from Walt Disney Co.-owned Lucasfilm and other rights holders.

 

 

Policy by Waivers Won’t Boost School Innovation — by Michael B. Horn
“Permissionless” beats having to ask for an okay

Excerpt:

In recent conversations, educators and state policymakers have expressed shock to me that district schools aren’t innovating more. With microschools growing and test scores floundering, why aren’t districts seeking permission to reinvent themselves?

As evidence of the opportunities to innovate, many bureaucrats and think tanks point to the vast number of waivers that states offer. The opportunities to move beyond traditional structures and processes do exist, the argument goes.

Yet waivers help far less than most policymakers believe. Until regulators create frameworks where innovation in pursuit of student outcomes is the default and doesn’t require permission, don’t expect a sea change.


From DSC:
TrimTab Groups. That’s what we need more of within K-12 and higher education. 

Research shows the only way an organization can truly reinvent itself is to launch a separate organization that has the autonomy to rethink its value proposition, resources, processes, and financial formula.

Below is a graphic I created a while back, but with traditional institutions of higher education in mind.

We need more Trim Tab Groups within K-12 and Higher Education.

 

Legal Prompt Engineering – Examples and Tips — from law.mit.edu by Dazza Greenwood and Damien Riehl
Walk through and discussion of Legal Prompt Engineering examples, showing ways to compose inputs to generative AI systems like ChatGPT and Claude to get improved outputs for law and legal processes

 


 


PwC announces strategic alliance with Harvey, positioning PwC’s Legal Business Solutions at the forefront of legal generative AI — from pwc.com

Excerpt:

LONDON, 15 March 2023 – Today, PwC announced a global partnership with artificial intelligence (AI) startup Harvey, providing PwC’s Legal Business Solutions professionals exclusive access (among the Big 4) to the game-changing AI platform.

Harvey, which is backed by the OpenAI Startup Fund, is built on OpenAi and Chat GPT technology. It is a platform that uses natural language processing, machine learning and data analytics to automate and enhance various aspects of legal work. Harvey will help generate insights and recommendations based on large volumes of data, delivering richer information that will enable PwC professionals to identify solutions faster. All outputs will be overseen and reviewed by PwC professionals.

The strategic alliance builds on PwC’s ability to bring human-led and tech-enabled solutions to clients, delivering on its global strategy, The New Equation.

 


The Robot Lawyer Resistance — from a16z Podcast by Andreessen Horowitz

Description of podcast:

Should AI belong in the courtroom? Joshua Browder ventured to run an experiment where a robot lawyer would defend a court case. Looking to up the ante, he even offered $1m for a Supreme Court hearing! His experiment was met with a threat of 6 months jail time. Listen in for the full story.


Also somewhat related, see:

What’s New in Legal Technology? ABA TECHSHOW 2023 — from attorneyatwork.com by Joan Feldman
ABA TECHSHOW has been the place to learn what’s new in legal technology for more than 35 years. Last week in Chicago, we scoped out the ABA TECHSHOW 2023 exposition hall. Here are a few of the highlights.

 
 

Fostering sustainable learning ecosystems — from linkedin.com by Patrick Blessinger

Excerpt (emphasis DSC):

Learning ecosystems
As today’s global knowledge society becomes increasingly interconnected and begins to morph into a global learning society, it is likely that formal, nonformal, and informal learning will become increasingly interconnected. For instance, there has been an explosion of new self-directed e-learning platforms such as Khan Academy, Open Courseware, and YouTube, among others, that help educate billions of people around the world.

A learning ecosystem includes all the elements that contribute to a learner’s overall learning experience. The components of a learning ecosystem are numerous, including people, technology platforms, knowledge bases, culture, governance, strategy, and other internal and external elements that have an impact on learning. Therefore, moving forward, it is crucial to integrate learning across formal, nonformal, and informal learning processes and activities in a more strategic way.

Learning ecosystems -- formal, informal, and nonformal sources of learning will become more tightly integrated in the future

 

Working To Incorporate Legal Technology Into Your Practice Isn’t Just A Great Business Move – It’s Required — from abovethelaw.com by Chris Williams

Excerpt:

According to Model Rule 1.1 of the ABA Model Rules of Professional Conduct: “A lawyer shall provide competent representation to a client. Competent representation requires the legal knowledge, skill, thoroughness and preparation reasonably necessary for the representation.”

In 2012, the ABA House of Delegates voted to amend Comment 8 to Model Rule 1.1 to include explicit guidance on lawyers’ use of technology.

If Model Rule 1.1 isn’t enough of a motivator to dip your feet in legal tech, maybe paying off that mortgage is. As an extra bit of motivation, it may benefit you to pin the ABA House of Delegate’s call to action on your motivation board.

Also relevant/see:

While courts still use fax machines, law firms are using AI to tailor arguments for judges — from cbc.ca by Robyn Schleihauf

Excerpt (emphasis DSC):

What is different with AI is the scale by which this knowledge is aggregated. While a lawyer who has been before a judge three or four times may have formed some opinions about them, these opinions are based on anecdotal evidence. AI can read the judge’s entire history of decision-making and spit out an argument based on what it finds. 

The common law has always used precedents, but what is being used here is different — it’s figuring out how a judge likes an argument to be framed, what language they like using, and feeding it back to them.

And because the legal system builds on itself — with judges using prior cases to determine how a decision should be made in the case before them — these AI-assisted arguments from lawyers could have the effect of further entrenching a judge’s biases in the case law, as the judge’s words are repeated verbatim in more and more decisions. This is particularly true if judges are unaware of their own biases.

Cutting through the noise: The impact of GPT/large language models (and what it means for legal tech vendors) — from legaltechnology.com by Caroline Hill

Excerpts:

Given that we have spent time over the past few years telling people not to get to overestimate the capability of AI, is this the real deal?

“Yeah, I think it’s the real thing because if you look at why legal technologies have not had the adoption rate historically, language has always been the problem,” Katz said. “Language has been hard for machines historically to work with, and language is core to law. Every road leads to a document, essentially.”

Katz says: “There are two types of things here. They would call general models GPT one through four, and then there’s domain models, so a legal specific large language model.

“What we’re going to see are large-ish, albeit not the largest model that’s heavily domain tailored is going to beat a general model in the same way that a really smart person can’t beat a super specialist. That’s where the value creation and the next generation of legal technology is going to live.”

Fresh Voices in Legal Tech with Kristen Sonday — from legaltalknetwork.com by Dennis Kennedy and Tom Mighell with Kristen Sonday

In a brand new interview series, Dennis and Tom welcome Kristen Sonday to hear her perspectives on the latest developments in the legal tech world.

 

FBI, Pentagon helped research facial recognition for street cameras, drones — from washingtonpost.com by Drew Harwell
Internal documents released in response to a lawsuit show the government was deeply involved in pushing for face-scanning technology that could be used for mass surveillance

Excerpt:

The FBI and the Defense Department were actively involved in research and development of facial recognition software that they hoped could be used to identify people from video footage captured by street cameras and flying drones, according to thousands of pages of internal documents that provide new details about the government’s ambitions to build out a powerful tool for advanced surveillance.

From DSC:
This doesn’t surprise me. But it’s yet another example of opaqueness involving technology. And who knows to what levels our Department of Defense has taken things with AI, drones, and robotics.

 
© 2024 | Daniel Christian