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“AI Tutors Double Rates of Learning in Less Learning Time” [Hardman] + other items re: AI in our learning ecosystems

On 11/01/2024, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, CMS/LMS, colleges, community colleges, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, experimentation, faculty, future, future of higher education, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, platforms, podcasting, United States, universities, vendors, by Daniel Christian

AI Tutors Double Rates of Learning in Less Learning Time — by drphilippahardman.substack.com Dr. Philippa Hardman
Inside Harvard’s new groundbreaking study

Conclusion
This Harvard study provides robust evidence that AI tutoring, when thoughtfully designed, can significantly enhance learning outcomes. The combination of doubled learning gains, increased engagement, and reduced time to competency suggests we’re seeing just the beginning of AI’s potential in education and that its potential is significant.

If this data is anything to go by, and if we – as humans – are open and willing to acting on it, it’s possible AI will have a significant and for some deeply positive impact on how we design and deliver learning experiences.

That said, as we look forward, the question shouldn’t just be, “how AI can enhance current educational methods?”, but also “how it might AI transform the very nature of learning itself?”. With continued research and careful implementation, we could be moving toward an era of education that’s more effective but also more accessible than ever before.

Three Quick Examples of Teaching with and about Generative AI — from derekbruff.org Derek Bruff

  • Text-to-Podcast.
  • Assigning Students to Groups.
  • AI Acceptable Use Scale.

Also from Derek’s blog, see:

From Mike Sharples on LinkedIn: 

ChatGPT’s free voice wizard — from wondertools.substack.com by Jeremy Caplan
How and why to try the new Advanced Voice Mode

7 surprisingly practical ways to use voice AI
Opening up ChatGPT’s Advanced Voice Mode (AVM) is like conjuring a tutor eager to help with whatever simple — or crazy — query you throw at it. Talking is more fluid and engaging than typing, especially if you’re out and about. It’s not a substitute for human expertise, but AVM provides valuable machine intelligence.

  • Get a virtual museum tour. …
  • Chat with historical figures….
  • Practice languages. …
  • Explore books. …
  • Others…

Though not AI-related, this is along the lines of edtech:

…which links to:

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“The end of courts?” [Furlong] + other legaltech-related items

On 10/29/2024, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assessment, Canada, emerging technologies, experimentation, funding / grants, future, innovation, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, podcasting, UK, United States, vendors, by Daniel Christian

Introducing QuizBot an Innovative AI-Assisted Assessment in Legal Education  — from papers.ssrn.com by Sean A Harrington

Abstract

This Article explores an innovative approach to assessment in legal education: an AI-assisted quiz system implemented in an AI & the Practice of Law course. The system employs a Socratic method-inspired chatbot to engage students in substantive conversations about course materials, providing a novel method for evaluating student learning and engagement. The Article examines the structure and implementation of this system, including its grading methodology and rubric, and discusses its benefits and challenges. Key advantages of the AI-assisted quiz system include enhanced student engagement with course materials, practical experience in AI interaction for future legal practice, immediate feedback and assessment, and alignment with the Socratic method tradition in law schools. The system also presents challenges, particularly in ensuring fairness and consistency in AI-generated questions, maintaining academic integrity, and balancing AI assistance with human oversight in grading.

The Article further explores the pedagogical implications of this innovation, including a shift from memorization to conceptual understanding, the encouragement of critical thinking through AI interaction, and the preparation of students for AI-integrated legal practice. It also considers future directions for this technology, such as integration with other law school courses, potential for longitudinal assessment of student progress, and implications for bar exam preparation and continuing legal education. Ultimately, this Article argues that AI-assisted assessment systems can revolutionize legal education by providing more frequent, targeted, and effective evaluation of student learning. While challenges remain, the benefits of such systems align closely with the evolving needs of the legal profession. The Article concludes with a call for further research and broader implementation of AI-assisted assessment in law schools to fully understand its impact and potential in preparing the next generation of legal professionals for an AI-integrated legal landscape.

Keywords: Legal Education, Artificial Intelligence, Assessment, Socratic Method, Chatbot, Law School Innovation, Educational Technology, Legal Pedagogy, AI-Assisted Learning, Legal Technology, Student Engagement, Formative Assessment, Critical Thinking, Legal Practice, Educational Assessment, Law School Curriculum, Bar Exam Preparation, Continuing Legal Education, Legal Ethics, Educational Analytics

How Legal Startup Genie AI Raises $17.8 Million with Just 13 Slides — from aisecret.us

Genie AI, a London-based legal tech startup, was founded in 2017 by Rafie Faruq and Nitish Mutha. The company has been at the forefront of revolutionizing the legal industry by leveraging artificial intelligence to automate and enhance legal document drafting and review processes. The recent funding round, led by Google Ventures and Khosla Ventures, marks a significant milestone in Genie AI’s growth trajectory.

In-house legal teams are adopting legal tech at lower rate than law firms: survey — from canadianlawyermag.com
The report suggests in-house teams face more barriers to integrating new tools

Law firms are adopting generative artificial intelligence tools at a higher rate than in-house legal departments, but both report similar levels of concerns about data security and ethical implications, according to a report on legal tech usage released Wednesday.

Legal tech company Appara surveyed 443 legal professionals in Canada across law firms and in-house legal departments over the summer, including lawyers, paralegals, legal assistants, law clerks, conveyancers, and notaries.

Twenty-five percent of respondents who worked at law firms said they’ve already invested in generative AI tools, with 24 percent reporting they plan to invest within the following year. In contrast, only 15 percent of respondents who work in-house have invested in these tools, with 26 percent planning investments in the future.

The end of courts? — from jordanfurlong.substack.com by Jordan Furlong
Civil justice systems aren’t serving the public interest. It’s time to break new ground and chart paths towards fast and fair dispute resolution that will meet people’s actual needs.

We need to start simple. System design can get extraordinarily complex very quickly, and complexity is our enemy at this stage. Tom O’Leary nicely inverted Deming’s axiom with a question of his own: “We want the system to work for [this group]. What would need to happen for that to be true?”

If we wanted civil justice systems to work for the ordinary people who enter them seeking solutions to their problems — as opposed to the professionals who administer and make a living off those systems — what would those systems look like? What would be their features? I can think of at least three:

  • Fair: …
  • Fast: …
  • Fine: …

100-Day Dispute Resolution: New Era ADR is Changing the Game (Rich Lee, CEO)

New Era ADR CEO Rich Lee makes a return appearance to Technically Legal to talk about the company’s cutting-edge platform revolutionizing dispute resolution. Rich first came on the podcast in 2021 right as the company launched. Rich discusses the company’s mission to provide a faster, more efficient, and cost-effective alternative to traditional litigation and arbitration, the company’s growth and what he has learned from a few years in.

Key takeaways:

  • New Era ADR offers a unique platform for resolving disputes in under 100 days, significantly faster than traditional methods.
  • The platform leverages technology to streamline processes, reduce costs, and enhance accessibility for all parties involved.
  • New Era ADR boasts a diverse pool of experienced and qualified neutrals, ensuring fair and impartial resolutions.
  • The company’s commitment to innovation is evident in its use of data and technology to drive efficiency and transparency.
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“How generative AI can help lawyers and law students hone their legal skills” + “Legal tech disruption: Doing it on purpose”

On 10/18/2024, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, career development, change, changing business models, disruption, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, platforms, podcasting, skills, tools, trends, UK, United States, vendors, vision/possibilities, by Daniel Christian

Fresh Voices on Legal Tech with Megan Ma — from legaltalknetwork.com by Dennis Kennedy, Tom Mighell, and Dr. Megan Ma

Episode Notes
As genAI continues to edge into all facets of our lives, Dr. Megan Ma has been exploring integrations for this technology in legal, but, more importantly, how it can help lawyers and law students hone their legal skills. Dennis and Tom talk with Dr. Ma about her work and career path and many of the latest developments in legal tech. They take a deep dive into a variety of burgeoning AI tools and trends, and Dr. Ma discusses how her interdisciplinary mindset has helped her develop a unique perspective on the possibilities for AI in the legal profession and beyond.

Legal tech disruption: Doing it on purpose — from localgovernmentlawyer.co.uk
Thomson Reuters looks at the role that a legal technology roadmap can play in improving the operations of in-house legal departments.

Disruption in the legal industry remains a powerful force – from the death of the billable hour to robot lawyers and generative AI. Leaders are facing weighty issues that demand long-term, visionary thinking and that will change the way legal professionals do their jobs.

With half of in-house legal departments increasing their use of legal technology tools, many GCs are taking the initiative to address continued, growing expectations from the business for systems that can make operations better. How can you prepare for a tech or process change so that people come along with you, rather than living in constant fire-fighting mode?

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How far should we go in allowing technology to aid our decision-making processes? [Schlegel] + other legaltech-related items

On 10/11/2024, in 21st century, 24x7x365 access, future, game-changing environment, Google, innovation, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, Open AI, platforms, podcasting, by Daniel Christian

The Future of Umpiring in Baseball: Balancing Tradition and Technology — from judgeschlegel.com by Judge Scott Schlegel
This article is not about baseball.

As we look to the future of umpiring in baseball, a balanced approach may offer the best solution. Rather than an all-or-nothing choice between human umpires and full automation, a hybrid system could potentially offer the benefits of both worlds. For instance, automated tracking systems could be used to assist human umpires, providing them with real-time data to inform their calls. This would maintain the human element and authority on the field while significantly enhancing accuracy and consistency.

Such a system would allow umpires to focus more on game management, player interactions, and the myriad other responsibilities that require human judgment and experience. It would preserve the traditional aspects of the umpire’s role that fans and players value, while leveraging technology to address concerns about accuracy and fairness.

Navigating the Intersection of Tradition and AI: The Future of Judicial Decision-Making — from judgeschlegel.com by Judge Scott Schlegel

Introduction
Continuing with our baseball analogy, we now turn our focus to the courtroom.

The intersection of technology and the justice system is a complex and often contentious space, much like the debate over automated umpires in baseball. As Major League Baseball considers whether automated systems should replace the human element in calling balls and strikes, the legal world faces similar questions: How far should we go in allowing technology to aid our decision-making processes, and what is the right balance between innovation and the traditions that define the courtroom?

AI and the rise of the Niche Lawyer — from jordanfurlong.substack.com by Jordan Furlong
A new legal market will create a new type of lawyer: Specialized, flexible, customized, fractional, home-based and online, exclusive, balanced and focused. This could be your future legal career.

Think of a new picture. A lawyer dressed in Professional Casual, or Business Comfortable, an outfit that looks sharp but feels relaxed. A lawyer inside their own apartment, in an extra bedroom, or in a shared workspace on a nearby bus route, taking an Uber to visit some clients and using Zoom to meet with others. A lawyer with a laptop and a tablet and a smartphone and no other capital expenditures. A lawyer whose overhead is only what’s literally over their head.

This lawyer starts work when they feel like it (maybe 7 am, maybe 10; maybe Monday, maybe not) and they stop working when they feel like it (maybe 4 pm, maybe 9). They have as many clients as they need, for whom they provide very specific, very personalized services. They provide some services that aren’t even “legal” to people who aren’t “clients” as we understand both terms. They have essential knowledge and skills that all lawyers share but unique knowledge and skills that hardly any others possess. They make as much money as they need in order to meet the rent and pay down their debts and afford a life with the people they love. They’re in complete charge of their career and their destiny, something they find terrifying and stressful and wonderful and fulfilling.

While We Were Distracted with the New ChatGPT Model, Google Quietly Dropped an AI Bombshell —  from judgeschlegel.com by Judge Scott Schlegel

While the latest ChatGPT model is dominating tech headlines, I was unexpectedly blown away by Google’s recent release of a new NotebookLM feature: Audio Overview. This tool, which transforms written content into simulated conversations, caught me off guard with its capabilities. I uploaded some of my blog posts on AI and the justice system, and what it produced left me speechless. The AI generated podcast-like discussions felt remarkably authentic, complete with nuanced interpretations and even slight misunderstandings of my ideas. This mirrors real-life discussions perfectly – after all, how often do we hear our own thoughts expressed by others and think, “That’s not quite what I meant”?

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“185 real-world gen AI use cases from the world’s leading organizations” [Google], a professional network for AI agents [Shah] + other items re: AI in general

On 10/01/2024, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, cloud-based computing / apps / other cloud-related, communications, computer science, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, creativity, data related items, design, digital audio, digital video, emerging technologies, engineering, ethics, future, game-changing environment, Google, graphics, health, innovation, languages and translation, learning agents, Microsoft, morals/values, NVIDIA, online learning, online media, Open AI, platforms, podcasting, presentations, productivity / tips and tricks, programming, robotics, telemedicine / telehealth / virtual health, tools, training / L&D, United States, vendors, voice recognition / voice enabled interfaces, workplace, by Daniel Christian

AI’s Trillion-Dollar Opportunity — from bain.com by David Crawford, Jue Wang, and Roy Singh
The market for AI products and services could reach between $780 billion and $990 billion by 2027.

At a Glance

  • The big cloud providers are the largest concentration of R&D, talent, and innovation today, pushing the boundaries of large models and advanced infrastructure.
  • Innovation with smaller models (open-source and proprietary), edge infrastructure, and commercial software is reaching enterprises, sovereigns, and research institutions.
  • Commercial software vendors are rapidly expanding their feature sets to provide the best use cases and leverage their data assets.

Accelerated market growth. Nvidia’s CEO, Jensen Huang, summed up the potential in the company’s Q3 2024 earnings call: “Generative AI is the largest TAM [total addressable market] expansion of software and hardware that we’ve seen in several decades.”

And on a somewhat related note (i.e., emerging technologies), also see the following two postings:

Surgical Robots: Current Uses and Future Expectations — from medicalfuturist.com by Pranavsingh Dhunnoo
As the term implies, a surgical robot is an assistive tool for performing surgical procedures. Such manoeuvres, also called robotic surgeries or robot-assisted surgery, usually involve a human surgeon controlling mechanical arms from a control centre.

Key Takeaways

  • Robots’ potentials have been a fascination for humans and have even led to a booming field of robot-assisted surgery.
  • Surgical robots assist surgeons in performing accurate, minimally invasive procedures that are beneficial for patients’ recovery.
  • The assistance of robots extend beyond incisions and includes laparoscopies, radiosurgeries and, in the future, a combination of artificial intelligence technologies to assist surgeons in their craft.

Proto hologram tech allows cancer patients to receive specialist care without traveling large distances — from inavateonthenet.net

“Working with the team from Proto to bring to life, what several years ago would have seemed impossible, is now going to allow West Cancer Center & Research Institute to pioneer options for patients to get highly specialized care without having to travel to large metro areas,” said West Cancer’s CEO, Mitch Graves.

Clone your voice in minutes: The AI trick 95% don’t know about — from aidisruptor.ai by Alex McFarland
Warning: May cause unexpected bouts of talking to yourself

Now that you’ve got your voice clone, what can you do with it?

  1. Content Creation:
    • Podcast Production: Record episodes in half the time. Your listeners won’t know the difference, but your schedule will thank you.
    • Audiobook Narration: Always wanted to narrate your own book? Now you can, without spending weeks in a recording studio.
    • YouTube Videos: Create voiceovers for your videos in multiple languages. World domination, here you come!
  2. Business Brilliance:
    • Customer Service: Personalized automated responses that actually sound personal.
    • Training Materials: Create engaging e-learning content in your own voice, minus the hours of recording.
    • Presentations: Never worry about losing your voice before a big presentation again. Your clone’s got your back.

185 real-world gen AI use cases from the world’s leading organizations — from blog.google by Brian Hall; via Daniel Nest’s Why Try AI

In a matter of months, organizations have gone from AI helping answer questions, to AI making predictions, to generative AI agents. What makes AI agents unique is that they can take actions to achieve specific goals, whether that’s guiding a shopper to the perfect pair of shoes, helping an employee looking for the right health benefits, or supporting nursing staff with smoother patient hand-offs during shifts changes.

In our work with customers, we keep hearing that their teams are increasingly focused on improving productivity, automating processes, and modernizing the customer experience. These aims are now being achieved through the AI agents they’re developing in six key areas: customer service; employee empowerment; code creation; data analysis; cybersecurity; and creative ideation and production.
…
Here’s a snapshot of how 185 of these industry leaders are putting AI to use today, creating real-world use cases that will transform tomorrow.

AI Data Drop: 3 Key Insights from Real-World Research on AI Usage — from microsoft.com; via Daniel Nest’s Why Try AI
One of the largest studies of Copilot usage—at nearly 60 companies—reveals how AI is changing the way we work.

  1. AI is starting to liberate people from email
  2. Meetings are becoming more about value creation
  3. People are co-creating more with AI—and with one another

*** Dharmesh has been working on creating agent.ai — a professional network for AI agents.***

Speaking of agents, also see:

Onboarding the AI workforce: How digital agents will redefine work itself — from venturebeat.com by Gary Grossman

AI in 2030: A transformative force

  1. AI agents are integral team members
  2. The emergence of digital humans
  3. AI-driven speech and conversational interfaces
  4. AI-enhanced decision-making and leadership
  5. Innovation and research powered by AI
  6. The changing nature of job roles and skills

AI Video Tools You Can Use Today — from heatherbcooper.substack.com by Heather Cooper
The latest AI video models that deliver results

AI video models are improving so quickly, I can barely keep up! I wrote about unreleased Adobe Firefly Video in the last issue, and we are no closer to public access to Sora.

No worries – we do have plenty of generative AI video tools we can use right now.

  • Kling AI launched its updated v1.5 and the quality of image or text to video is impressive.
  • Hailuo MiniMax text to video remains free to use for now, and it produces natural and photorealistic results (with watermarks).
  • Runway added the option to upload portrait aspect ratio images to generate vertical videos in Gen-3 Alpha & Turbo modes.
  • …plus several more

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Here are a variety of legaltech related items — showing change in the legal industry

On 10/01/2024, in Access to Justice (A2J), change, Cost of legal services - including access, Google, innovation, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, podcasting, productivity / tips and tricks, tools, UK, United States, vendors, vision/possibilities, by Daniel Christian

RIP To Human First Pass Document Review? — from abovethelaw.com by Joe Patrice
Using actual humans to perform an initial review isn’t gone yet, but the days are numbered.

Lawyers are still using real, live people to take a first crack at document review, but much like the “I’m not dead yet” guy from Monty Python and the Holy Grail, it’s a job that will be stone dead soon. Because there are a lot of deeply human tasks that AI will struggle to replace, but getting through a first run of documents doesn’t look like one of them.

At last week’s Relativity Fest, the star of the show was obviously Relativity aiR for Review, which the company moved to general availability. In conjunction with the release, Relativity pointed to impressive results the product racked up during the limited availability period including Cimplifi reporting that the product cut review time in half and JND finding a 60 percent cut in costs.

Ernie The Attorney: A Tech Whisperer Shares His Legal Tech Secrets — from legaltalknetwork.com by Ernie Svenson
Guest Ernie “The Attorney” Svenson is dedicated to helping small and solo firms get the most out of today’s tech tools. Work smarter, not harder.

When it comes to efficiencies, automation plays a big role. In a solo or small firm, resources come at a premium. Learn to reduce wasted input through standardized, repeatable operating procedures and automation. (There are even tech products that help you create written standard processes learning from and organizing the work you’re already doing).

Imagine speaking into an app as you “brain dump” and having those thoughts come out organized and notated for later use. Imagine dictating legal work into an app and having AI organize your dictation, even correct it. You don’t need to type everything in today’s tech world. Maximize downtime.

It’s all about training yourself to think “automation first.” Even when a virtual assistant (VA) located in another country can fill gaps in your practice, learn your preferences, match your brand, and help you be your most efficient you without hiring a full-tie employee. Today’s most successful law firms are high-tech hubs. Don’t let fear of the unknown hold you back.

Here’s the Video of Our Legaltech Week Panel Recorded Live Friday at RelativityFest in Chicago — from lawnext.com by Bob Ambrogi

Several of our regular Legaltech Week panelists were in Chicago for RelativityFest last week, so we took the opportunity to get together and broadcast our show live from the same room (instead of Zoom squares).

If you missed it Friday, here’s the video recording.

LexisNexis legal AI adoption report shows sharp increase in use of Gen AI — from legaltechnology.com

Today (24 September) LexisNexis has released a new report – Need for Speedier Legal Services sees AI Adoption Accelerate – which reveals a sharp increase in the number of lawyers using generative AI for legal work.

The survey of 800+ UK legal professionals at firms and in-house teams found 41% are currently using AI for work, up from 11% in July 2023. Lawyers with plans to use AI for legal work in the near future also jumped from 28% to 41%, while those with no plans to adopt AI dropped from 61% to 15%. The survey found that 39% of private practice lawyers now expect to adjust their billing practices due to AI, up from 18% in January 2024.

Robin AI’s James Clough: ‘Don’t Skate To Where The Puck Is’ — from artificiallawyer.com

‘What if legal review cost just $1? What if legal review was 1,000X cheaper than today?’ he muses.

And, one could argue we are getting there already – at least in theory. How much does it actually cost to run a genAI tool, that is hitting the accuracy levels you require, over a relatively mundane contract in order to find top-level information? If token costs drop massively in the years ahead and tech licence costs have been shared out across a major legal business….then what is the cost to the firm per document?

Of course, there is review and there is review. A very deep and thorough review, with lots of redlining, back and forth negotiation, and redrafting by top lawyers is another thing. But, a ‘quick once-over’? It feels like we are already at the ‘pennies on the dollar’ stage for that.

What Is Legal Tech Convergence + Why It Matters — from artificiallawyer.com

In some cases the companies on the convergence path are just getting started and only offer a few additional skills (so far), in other cases, large companies with diverse histories have almost the same multi-skill offering across many areas.

Here are some examples:

  • Callidus
  • vLex
  • Thomson Reuters and LexisNexis
  • BRYTER
  • Harvey
  • Leya
  • …and others
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“Back to School with AI” [Getting Smart] + other items re: AI in our learning ecosystems

On 09/06/2024, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, career development, CMS/LMS, content development, aggregation, repositories, creativity, curriculum, data related items, education, education technology, engagement / engaging students, expectations, experimentation, ideas, instructional design, intelligent systems, K-12 related, learning, learning ecosystem, Learning Experience Design, more voice more choice more control, podcasting, skills, student-related, teachers, tools, United States, youth, by Daniel Christian

The Six AI Use Case Families of Instructional Design — from drphilippahardman.substack.com by Dr. Phillipa Harman
Pushing AI beyond content creation

So what are the six families? Here’s the TLDR:

  1. Creative Ideation, aka using AI to spark novel ideas and innovative design concepts.
  2. Research & Analysis, aka using AI to rapidly gather and synthesise information from vast sources.
  3. Data-Driven Insights, aka using AI to extract meaningful patterns and predictions from complex datasets.
  4. …and more

Town Hall: Back to School with AI — from gettingsmart.com

Key Points

  • AI can help educators focus more on human interaction and critical thinking by automating tasks that consume time but don’t require human empathy or creativity.
  • Encouraging students to use AI as a tool for learning and creativity can significantly boost their engagement and self-confidence, as seen in examples from student experiences shared in the discussion.

The speakers discuss various aspects of AI, including its potential to augment human intelligence and the need to focus on uniquely human competencies in the face of technological advancements. They also emphasize the significance of student agency, with examples of student-led initiatives and feedback sessions that reveal how young learners are already engaging with AI in innovative ways. The episode underscores the necessity for educators and administrators to stay informed and actively participate in the ongoing dialogue about AI to ensure its effective and equitable implementation in schools.

The video below is from The Artifice of Twinning by Marc Watkins

How AI Knocks Down Classroom Barriers — from gettingsmart.com by Alyssa Faubion

Key Points

  • AI can be a powerful tool to break down language, interest, and accessibility barriers in the classroom, making learning more inclusive and engaging.
  • Incorporating AI tools in educational settings can help build essential skills that AI can’t replace, such as creativity and problem-solving, preparing students for future job markets.
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Building a Collaborative Lifelong Learning Ecosystem [moderncampus.com]

On 08/13/2024, in changing business models, collaboration, colleges, community colleges, culture, curriculum, future of higher education, higher education, ideas, learning ecosystem, lifelong learning, podcasting, reinvent, skills, staying relevant, United States, universities, by Daniel Christian

Building a Collaborative Lifelong Learning Ecosystem — from by Bryan Benjamin and Amrit Ahluwalia

Staying current and relevant is essential for institutions in today’s rapidly evolving higher education landscape. However, innovative work cannot be accomplished in isolation.

On this episode, Bryan Benjamin, Executive Director of The Ivey Academy and Amrit Ahluwalia, Executive Director of Continuing Studies at Western University, discusses the importance of institutional collaboration and creating a scalable lifelong learning ecosystem.

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“NYC High School Reimagines Career & Technical Education for the 21st Century” [Bauld] + several other items re: the K12 learning ecosystem

On 06/17/2024, in Bias | Diversity Equity & Inclusion (DE&I), career development, change, changing business models, collaboration, communications, creativity, digital audio, digital video, education, education reform, education technology, engagement / engaging students, engineering, entrepreneurship, experimentation, ideas, innovation, instructional design, journalism, K-12 related, leadership, learning, learning ecosystem, Learning Experience Design, maker movement, media/film, more voice more choice more control, multimedia, neurodivergent/special needs, play, podcasting, real-world assignments, robotics, skills, society, sociology, strategy, student-related, teachers, United States, vision/possibilities, vocational / trades, by Daniel Christian

NYC High School Reimagines Career & Technical Education for the 21st Century — from the74million.org by Andrew Bauld
Thomas A. Edison High School is providing students with the skills to succeed in both college and career in an unusually creative way.

From DSC:
Very interesting to see the mention of an R&D department here! Very cool.

Baker said ninth graders in the R&D department designed the essential skills rubric for their grade so that regardless of what content classes students take, they all get the same immersion into critical career skills. Student voice is now so integrated into Edison’s core that teachers work with student designers to plan their units. And he said teachers are becoming comfortable with the language of career-centered learning and essential skills while students appreciate the engagement and develop a new level of confidence.
…
The R&D department has grown to include teachers from every department working with students to figure out how to integrate essential skills into core academic classes. In this way, they’re applying one of the XQ Institute’s crucial Design Principles for innovative high schools: Youth Voice and Choice.
.

Learners need: More voice. More choice. More control. -- this image was created by Daniel Christian

Student Enterprise: Invite Learners to Launch a Media Agency or Publication — from gettingsmart.com by Tom Vander Ark

Key Points

  • Client-connected projects have become a focal point of the Real World Learning initiative, offering students opportunities to solve real-world problems in collaboration with industry professionals.
  • Organizations like CAPS, NFTE, and Journalistic Learning facilitate community connections and professional learning opportunities, making it easier to implement client projects and entrepreneurship education.

Important trend: client projects. Work-based learning has been growing with career academies and renewed interest in CTE. Six years ago, a subset of WBL called client-connected projects became a focal point of the Real World Learning initiative in Kansas City where they are defined as authentic problems that students solve in collaboration with professionals from industry, not-for-profit, and community-based organizations….and allow students to: engage directly with employers, address real-world problems, and develop essential skills.

Portrait of a Community to Empower Learning Transformation — from gettingsmart.com by Rebecca Midles and Mason Pashia

Key Points

  • The Community Portrait approach encourages diverse voices to shape the future of education, ensuring it reflects the needs and aspirations of all stakeholders.
  • Active, representative community engagement is essential for creating meaningful and inclusive educational environments.

The Portrait of a Graduate—a collaborative effort to define what learners should know and be able to do upon graduation—has likely generated enthusiasm in your community. However, the challenge of future-ready graduates persists: How can we turn this vision into a reality within our diverse and dynamic schools, especially amid the current national political tensions and contentious curriculum debates?

The answer lies in active, inclusive community engagement. It’s about crafting a Community Portrait that reflects the rich diversity of our neighborhoods. This approach, grounded in the same principles used to design effective learning systems, seeks to cultivate deep, reciprocal relationships within the community. When young people are actively involved, the potential for meaningful change increases exponentially.

Q&A: Why Schools Must Redesign Learning to Include All Students — from edtechmagazine.com by Taashi Rowe
Systems are broken, not children, says K–12 disability advocate Lindsay E. Jones.

Although Lindsay E. Jones came from a family of educators, she didn’t expect that going to law school would steer her back into the family business. Over the years she became a staunch advocate for children with disabilities. And as mom to a son with learning disabilities and ADHD who is in high school and doing great, her advocacy is personal.

Jones previously served as president and CEO of the National Center for Learning Disabilities and was senior director for policy and advocacy at the Council for Exceptional Children. Today, she is the CEO at CAST, an organization focused on creating inclusive learning environments in K–12. EdTech: Focus on K–12 spoke with Jones about how digital transformation, artificial intelligence and visionary leaders can support inclusive learning environments.

Our brains are all as different as our fingerprints, and throughout its 40-year history, CAST has been focused on one core value: People are not broken, systems are poorly designed. And those systems are creating a barrier that holds back human innovation and learning.

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Hybrid learning through podcasts: a practical approach [Chambers]

On 06/06/2024, in A/V -- audio/visual, blended learning, digital audio, engagement / engaging students, experimentation, faculty, higher education, homeschooling/homeschoolers, hybrid learning, ideas, learning, Learning Experience Design, more voice more choice more control, multimedia, online learning, podcasting, skills, student-related, by Daniel Christian

Hybrid learning through podcasts: a practical approach — from timeshighereducation.com by Catherine Chambers
Adapting practice-based learning to a blend of synchronous and asynchronous delivery gives learners more control and creates opportunities for real-world learning of skills such as podcast production, writes Catherine Chambers

Hybrid learning provides students with greater control over their learning and enables the development of employability skills, supporting practice-based group work through in situ activities.

Aligned with Keele’s curriculum expectations framework, the module was designed around podcasts to support inclusivity, active learning, digital capability and external engagement.

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“A View into the Generative AI Legal Landscape 2024 [Ma, Sinha, Tandon, & Richards] + other legaltech-related items

On 03/12/2024, in emerging technologies, future, game-changing environment, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, podcasting, by Daniel Christian

A View into the Generative AI Legal Landscape 2024 — from law.stanford.edu by Megan Ma, Aparna Sinha,  Ankit Tandon, & Jennifer Richards

Excerpt (emphasis DSC):

Some key observations and highlights:

  1. Emerging technical solutions are addressing the main challenges of using Generative AI in legal applications, such as lack of consistency and accuracy, limited explainability, privacy concerns, and difficulty in obtaining and training models on legal domain data.
  2. Structural impediments in the legal industry, such as the billable hour, lack of standardization, vendor dependence, and incumbent control, moderate the success of generative AI startups.
  3. Our defined “client-facing” LegalTech market is segmented into three broad lines of work: Research and Analysis, Document Review and Drafting, and Litigation. We view the total LegalTech market in the United States to be estimated at ~$13B in 2023, with litigation being the largest category.
  4. LegalTech incumbents play a significant role in the adoption of generative AI technologies, often opting for market consolidation through partnerships or acquisitions rather than building solutions organically.
  5. Future evolution in LegalTech may involve specialization in areas such as patent and IP, immigration, insurance, and regulatory compliance. There is also potential for productivity tools and access to legal services, although the latter faces structural challenges related to the Unauthorized Practice of Law (UPL).

Fresh Voices on Legal Tech with Tessa Manuello — from legaltalknetwork.com by Dennis Kennedy and Tom Mighell

EPISODE NOTES
Creative thinking and design elements can help you elevate your legal practice and develop more meaningful solutions for clients. Dennis and Tom welcome Tessa Manuello to discuss her insights on legal technology with a particular focus on creative design adaptations for lawyers. Tessa discusses the tech learning process for attorneys and explains how a more creative approach for both learning and implementing tech can help lawyers make better use of current tools, AI included.

International Women’s Day: Kriti Sharma Calls for More Women Working in AI, LegalTech — from legalcurrent.com

In honor of International Women’s Day, Sharma discusses on LinkedIn the need for more female role models in the tech sector as AI opens up traditional career pathways and creates opportunities to welcome more women to the space.

Sharma invited Thomson Reuters female leaders working in legal technology to share their perspectives, including Rawia Ashraf, Emily Colbert, and Anu Dodda.

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“Generative AI’s environmental costs are soaring — and mostly secret” [Crawford] + other items re: AI in general

On 02/27/2024, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, emerging technologies, Google, history, legislatures / government / legal, NVIDIA, Open AI, platforms, podcasting, robotics, tools, vendors, by Daniel Christian

Generative AI’s environmental costs are soaring — and mostly secret — from nature.com by Kate Crawfold
First-of-its-kind US bill would address the environmental costs of the technology, but there’s a long way to go.

Last month, OpenAI chief executive Sam Altman finally admitted what researchers have been saying for years — that the artificial intelligence (AI) industry is heading for an energy crisis. It’s an unusual admission. At the World Economic Forum’s annual meeting in Davos, Switzerland, Altman warned that the next wave of generative AI systems will consume vastly more power than expected, and that energy systems will struggle to cope. “There’s no way to get there without a breakthrough,” he said.

I’m glad he said it. I’ve seen consistent downplaying and denial about the AI industry’s environmental costs since I started publishing about them in 2018. Altman’s admission has got researchers, regulators and industry titans talking about the environmental impact of generative AI.

Get ready for the age of sovereign AI | Jensen Huang interview— from venturebeat.com by Dean Takahashi

Yesterday, Nvidia reported $22.1 billion in revenue for its fourth fiscal quarter of fiscal 2024 (ending January 31, 2024), easily topping Wall Street’s expectations. The revenues grew 265% from a year ago, thanks to the explosive growth of generative AI.
…
He also repeated a notion about “sovereign AI.” This means that countries are protecting the data of their users and companies are protecting data of employees through “sovereign AI,” where the large-language models are contained within the borders of the country or the company for safety purposes.

Yikes, Google — from theneurondaily.com by Noah Edelman
PLUS: racially diverse nazis…WTF?!

Google shoots itself in the foot.
Last week was the best AND worst week for Google re AI.

The good news is that its upcoming Gemini 1.5 Pro model showcases remarkable capabilities with its expansive context window (details forthcoming).

The bad news is Google’s AI chatbot “Gemini” is getting A LOT of heat after generating some outrageous responses. Take a look:

Also from the Daily:

  • Perplexity just dropped this new podcast, Discover Daily, that recaps the news in 3-4 minutes.
  • It already broke into the top #200 news pods within a week.
  • AND it’s all *100% AI-generated*.

Daily Digest: It’s Nvidia’s world…and we’re just living in it. — from bensbites.beehiiv.com

  • Nvidia is building a new type of data centre called AI factory. Every company—biotech, self-driving, manufacturing, etc will need an AI factory.
  • Jensen is looking forward to foundational robotics and state space models. According to him, foundational robotics could have a breakthrough next year.
  • The crunch for Nvidia GPUs is here to stay. It won’t be able to catch up on supply this year. Probably not next year too.
  • A new generation of GPUs called Blackwell is coming out, and the performance of Blackwell is off the charts.
  • Nvidia’s business is now roughly 70% inference and 30% training, meaning AI is getting into users’ hands.

Gemma: Introducing new state-of-the-art open models  — from blog.google

 

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“Unraveling the Legal Tech Ecosystem: How People, Processes, and Tech Work Together” [Levy, Hathaway, & Ranns] + other legaltech-related items

On 02/13/2024, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, Natural Language Processing (NLP), podcasting, by Daniel Christian

Better Call GPT, Comparing Large Language Models Against Lawyers — from arxiv.org by Lauren Martin, Nick Whitehouse, Stephanie Yiu, Lizzie Catterson, & Rivindu Perera; via Azeem Azhar and Chantal Smith

This paper presents a groundbreaking comparison between Large Language Models (LLMs) and traditional legal contract reviewers—Junior Lawyers and Legal Process Outsourcers (LPOs). We dissect whether LLMs can outperform humans in accuracy, speed, and cost-efficiency during contract review. Our empirical analysis benchmarks LLMs against a ground truth set by Senior Lawyers, uncovering that advanced models match or exceed human accuracy in determining legal issues. In speed, LLMs complete reviews in mere seconds, eclipsing the hours required by their human counterparts. Cost-wise, LLMs operate at a fraction of the price, offering a staggering 99.97 percent reduction in cost over traditional methods. These results are not just statistics—they signal a seismic shift in legal practice. LLMs stand poised to disrupt the legal industry, enhancing accessibility and efficiency of legal services. Our research asserts that the era of LLM dominance in legal contract review is upon us, challenging the status quo and calling for a reimagined future of legal workflows.

Unraveling the Legal Tech Ecosystem: How People, Processes, and Tech Work Together — from legaltalknetwork.com by Colin Levy, JoAnn Hathaway, and Molly Ranns

Technology can help you solve problems in your law firm, connect with clients, save time and money, and so much more. But, how do you know what tech will work best for your practice? Molly Ranns and JoAnn Hathaway talk with Colin Levy about understanding and utilizing technology, common mistakes in choosing new tools, and ways to overcome tech-related fear and anxiety.

Legalweek Roundup: Top Takeaways for Litigation Teams — from jdsupra.com

Every time we attend Legalweek, we have a unique opportunity to tap into the collective knowledge of hundreds of legal professionals. This year at Legalweek 2024 we talked with peers in a wide variety of roles, from litigation support professionals and lawyers to partners and heads of innovation. Throughout the sessions and discussions,  we started to notice a few common themes, interesting trends, and helpful insights.

Here’s the best of what we learned.

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Video, Images and Sounds – Good Tools #14 [Good]

On 01/14/2024, in blogs / blogging / vlogging, design, digital audio, digital learning, digital photography, digital storytelling, digital video, graphics, multimedia, music, new media literacies, platforms, podcasting, productivity / tips and tricks, tools, vendors, web design and production, by Daniel Christian

Video, Images and Sounds – Good Tools #14 — from goodtools.substack.com by Robin Good

Specifically in this issue:

  • Free Image Libraries
  • Image Search Engines
  • Free Illustrations
  • Free Icons
  • Free Stock Video Footage
  • Free Music for Video and Podcasts
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“Law schools need to train law students to use generative AI effectively and responsibly. [Linna] + other legal-related items

On 01/09/2024, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, podcasting, by Daniel Christian

On a somewhat related note, also see:

Building a lawyer support ecosystem — from jordanfurlong.substack.com by Jordan Furlong
Pro sports teams invest serious resources to maximize the performance of their highly skilled, uniquely specialized professionals. Why don’t law firms do the same?

So my advice to law firms here is simple: Create more support for your lawyers and other professionals. Design and build ecosystems for the training, support, and personal and professional development of these highly skilled, uniquely specialized, and strategically critical human assets. Hire more full-time business coaches, skill trainers, and relationship managers. Spend money on these supportive measures now, or face massive bills down the road for the repair and replacement of the people you worked so hard to recruit.

How to Include Design Thinking and Project Management Principles in Legal Work (Katherine Porter, The Resourceful Lawyer) — from tlpodcast.com

Katherine discusses her unique approach to problem-solving in the legal field, which involves design thinking and project management principles. Katherine explains the importance of lawyers understanding client needs, the process of workflow mapping, and the challenges of implementing new processes in law firms.

Katherine also emphasizes that empathy and understanding the client journey is a must when designing effective legal services. In the end, she also gives some real world tips about where to begin working in project management principles into legal practice.

TEN THINGS: BEST BLOGS (AND OTHER MEDIA) FOR IN-HOUSE LAWYERS (2023 EDITION) — from tenthings.blog by

Like every year, I end 2023 with a blog featuring all the other people you should be reading (or listening to) as part of your day-to-day in-house life. For me, the hard part is choosing just a few to highlight. There are so many great content generators out there fighting for your (and my) attention. Unfortunately, I cannot list everyone (and I rarely repeat listing anyone I have listed in the past, i.e., I just assume you know they are still worth your time – they are!). [2] And, if you are interested in past winners, you can start by reading last year’s edition of “Best Blogs (and Other Media) for In-House Lawyers.” Instead, I try to list some new voices for you to check out. And, same as always, there is no particular order to my list (literally I am just typing as I find things in my Post-it notes, faulty memory, and Google Keep folders). Okay, where was I…? Right, enough yakking, let’s get on with the 2023 edition of Best Blogs and Other Media for In-House Counsel!

6 in-house legal trends to watch in 2024 — from legaldive.com from Lyle Moran and Robert Freedman
AI, labor, antitrust, bankruptcies, women GCs and cross-collaboration are among the headlines in-house counsel can expect this year.

 

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