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.

 

From DSC:
Anyone who is involved in putting on conferences should at least be aware that this kind of thing is now possible!!! Check out the following posting from Adobe (with help from Tata Consultancy Services (TCS).


From impossible to POSSIBLE: Tata Consultancy Services uses Adobe Firefly generative AI and Acrobat AI Assistant to turn hours of work into minutes — from blog.adobe.com

This year, the organizers — innovative industry event company Beyond Ordinary Events — turned to Tata Consultancy Services (TCS) to make the impossible “possible.” Leveraging Adobe generative AI technology across products like Adobe Premiere Pro and Acrobat, they distilled hours of video content in minutes, delivering timely dispatches to thousands of attendees throughout the conference.

For POSSIBLE ’24, Muche had an idea for a daily dispatch summarizing each day’s sessions so attendees wouldn’t miss a single insight. But timing would be critical. The dispatch needed to reach attendees shortly after sessions ended to fuel discussions over dinner and carry the excitement over to the next day.

The workflow started in Adobe Premiere Pro, with the writer opening a recording of each session and using the Speech to Text feature to automatically generate a transcript. They saved the transcript as a PDF file and opened it in Adobe Acrobat Pro. Then, using Adobe Acrobat AI Assistant, the writer asked for a session summary.

It was that fast and easy. In less than four minutes, one person turned a 30-minute session into an accurate, useful summary ready for review and publication.

By taking advantage of templates, the designer then added each AI-enabled summary to the newsletter in minutes. With just two people and generative AI technology, TCS accomplished the impossible — for the first time delivering an informative, polished newsletter to all 3,500 conference attendees just hours after the last session of the day.

 



This AI App Can Solve Your Math Homework, Steps Included — from link.wired.com by Will Knight

Right now, high schoolers and college students around the country are experimenting with free smartphone apps that help complete their math homework using generative AI. One of the most popular options on campus right now is the Gauth app, with millions of downloads. It’s owned by ByteDance, which is also TikTok’s parent company.

The Gauth app first launched in 2019 with a primary focus on mathematics, but soon expanded to other subjects as well, like chemistry and physics. It’s grown in relevance, and neared the top of smartphone download lists earlier this year for the education category. Students seem to love it. With hundreds of thousands of primarily positive reviews, Gauth has a favorable 4.8 star rating in the Apple App Store and Google Play Store.

All students have to do after downloading the app is point their smartphone at a homework problem, printed or handwritten, and then make sure any relevant information is inside of the image crop. Then Gauth’s AI model generates a step-by-step guide, often with the correct answer. 

From DSC:
I do hesitate to post this though, as I’ve seen numerous posting re: the dubious quality of AI as it relates to giving correct answers to math-related problems – or whether using AI-based tools help or hurt the learning process. The situation seems to be getting better, but as I understand it, we still have some progress to make in this area of mathematics.


Redefining Creativity in the Age of AI — from gettingsmart.com by David Ross

Key Points

  • Educational leaders must reconsider the definition of creativity, taking into account how generative AI tools can be used to produce novel and impactful creative work, similar to how film editors compile various elements into a cohesive, creative whole.
  • Generative AI democratizes innovation by allowing all students to become creators, expanding access to creative processes that were previously limited and fostering a broader inclusion of diverse talents and ideas in education.


AI-Powered Instructional Design at ASU — from drphilippahardman.substack.com by Dr. Philippa Hardman
How ASU’s Collaboration with OpenAI is Reshaping the Role of Instructional Designers

The developments and experiments at ASU provide a fascinating window into two things:

    1. How the world is reimagining learning in the age of AI;
    2. How the role of the instructional designer is changing in the age of AI.

In this week’s blog post, I’ll provide a summary of how faculty, staff and students at ASU are starting to reimagine education in the age of AI, and explore what this means for the instructions designers who work there.


PhysicsWallah’s ‘Alakh AI’ is Making Education Accessible to Millions in India — from analyticsindiamag.com by Siddharth Jindal

India’s ed-tech unicorn PhysicsWallah is using OpenAI’s GPT-4o to make education accessible to millions of students in India. Recently, the company launched a suite of AI products to ensure that students in Tier 2 & 3 cities can access high-quality education without depending solely on their enrolled institutions, as 85% of their enrollment comes from these areas.

Last year, AIM broke the news of PhysicsWallah introducing ‘Alakh AI’, its suite of generative AI tools, which was eventually launched at the end of December 2023. It quickly gained traction, amassing over 1.5 million users within two months of its release.


 

Majoring in video games? A new wave of degrees underscores the pressures on colleges — from usatoday.com by Zachary Schermele
From degrees in AI to social media influencing, colleges are adapting to economic trends with new majors that emphasize the debate about getting students their money’s worth.

Majors like hers are part of a broader wave of less conventional, avant-garde majors, in specialties such as artificial intelligence, that are taking root in American higher education, as colleges grapple with changes in the economy and a shrinking pool of students.

The trend underscores the distinct ways schools are responding to growing concerns over which degrees provide the best return on investment. As college costs soared to new heights in recent years, saddling many students with crippling loan debt, that discourse has only become increasingly fraught, raising the stakes for schools to prove their degrees leave students better prepared and employable.

“I’m a big believer in the liberal arts, but universities don’t get to print money,” he said. “If enrollment interests are shifting, they have to be able to hire faculty to teach in those areas. Money has to come from someplace.”

From DSC:
Years ago, I remember having lunch with one of the finalists for the President position of a local university. He withdrew himself from the search because the institution’s culture would be like oil and water with him at the helm. He was very innovative, and this organization was not. I remember him saying, “The marketplace will determine what that organization ultimately does.” In other words, he was saying that higher education was market-driven. I agreed with him then, and I still agree with that perspective now.

 

Terrific Tools for Teachers — from wondertools.substack.com by Jeremy Caplan
Try these for your workshops or classes

As a new school year starts, I’m excited to be back teaching at the City University of New York’s Newmark Graduate School of Journalism. In my role as Director of Teaching & Learning, I love studying and sharing the skills, mindsets, tactics and tools that help teachers lead engaging, impactful classes. In this post I’m sharing resources you might find helpful whether you’re a teacher, leader, or anyone who brings people together.
.

Terrific Tools for Teachers -- try these for your workshops or classes

 

Teens are losing interest in school, and say they hear about college ‘a lot’ — from npr.org by Cory Turner

This is not your standard back-to-school story, about school supplies or first-day butterflies.

It’s about how school-aged members of Gen Z — that’s 12- to 18-year-olds — are feeling about school and the future. And according to a new national survey, those feelings are a little worrying.

School engagement is down. The middle- and high-schoolers surveyed find school less interesting than they did just last year, and only about half believe they’re being challenged “in a good way.” The problem is especially acute for teens who say they don’t want to go to college right out of high school.

“The conversations that [K-12 schools are] having with middle-schoolers and high-schoolers are predominantly about college,” says Zach Hrynowski, a senior education researcher at Gallup. “Even the kids who are like, ‘I don’t want to go to college,’ what are they hearing the most about? College. We’re not talking to them about apprenticeships, internships, starting a business, entrepreneurial aspirations or jobs that don’t require a college degree.”

 

When A.I.’s Output Is a Threat to A.I. Itself — from nytimes.com by Aatish Bhatia
As A.I.-generated data becomes harder to detect, it’s increasingly likely to be ingested by future A.I., leading to worse results.

All this A.I.-generated information can make it harder for us to know what’s real. And it also poses a problem for A.I. companies. As they trawl the web for new data to train their next models on — an increasingly challenging task — they’re likely to ingest some of their own A.I.-generated content, creating an unintentional feedback loop in which what was once the output from one A.I. becomes the input for another.

In the long run, this cycle may pose a threat to A.I. itself. Research has shown that when generative A.I. is trained on a lot of its own output, it can get a lot worse.


Per The Rundown AI:

The Rundown: Elon Musk’s xAI just launched “Colossus“, the world’s most powerful AI cluster powered by a whopping 100,000 Nvidia H100 GPUs, which was built in just 122 days and is planned to double in size soon.

Why it matters: xAI’s Grok 2 recently caught up to OpenAI’s GPT-4 in record time, and was trained on only around 15,000 GPUs. With now more than six times that amount in production, the xAI team and future versions of Grok are going to put a significant amount of pressure on OpenAI, Google, and others to deliver.


Google Meet’s automatic AI note-taking is here — from theverge.com by Joanna Nelius
Starting [on 8/28/24], some Google Workspace customers can have Google Meet be their personal note-taker.

Google Meet’s newest AI-powered feature, “take notes for me,” has started rolling out today to Google Workspace customers with the Gemini Enterprise, Gemini Education Premium, or AI Meetings & Messaging add-ons. It’s similar to Meet’s transcription tool, only instead of automatically transcribing what everyone says, it summarizes what everyone talked about. Google first announced this feature at its 2023 Cloud Next conference.


The World’s Call Center Capital Is Gripped by AI Fever — and Fear — from bloomberg.com by Saritha Rai [behind a paywall]
The experiences of staff in the Philippines’ outsourcing industry are a preview of the challenges and choices coming soon to white-collar workers around the globe.


[Claude] Artifacts are now generally available — from anthropic.com

[On 8/27/24], we’re making Artifacts available for all Claude.ai users across our Free, Pro, and Team plans. And now, you can create and view Artifacts on our iOS and Android apps.

Artifacts turn conversations with Claude into a more creative and collaborative experience. With Artifacts, you have a dedicated window to instantly see, iterate, and build on the work you create with Claude. Since launching as a feature preview in June, users have created tens of millions of Artifacts.


MIT's AI Risk Repository -- a comprehensive database of risks from AI systems

What are the risks from Artificial Intelligence?
A comprehensive living database of over 700 AI risks categorized by their cause and risk domain.

What is the AI Risk Repository?
The AI Risk Repository has three parts:

  • The AI Risk Database captures 700+ risks extracted from 43 existing frameworks, with quotes and page numbers.
  • The Causal Taxonomy of AI Risks classifies how, when, and why these risks occur.
  • The Domain Taxonomy of AI Risks classifies these risks into seven domains (e.g., “Misinformation”) and 23 subdomains (e.g., “False or misleading information”).

California lawmakers approve legislation to ban deepfakes, protect workers and regulate AI — from newsday.com by The Associated Press

SACRAMENTO, Calif. — California lawmakers approved a host of proposals this week aiming to regulate the artificial intelligence industry, combat deepfakes and protect workers from exploitation by the rapidly evolving technology.

Per Oncely:

The Details:

  • Combatting Deepfakes: New laws to restrict election-related deepfakes and deepfake pornography, especially of minors, requiring social media to remove such content promptly.
  • Setting Safety Guardrails: California is poised to set comprehensive safety standards for AI, including transparency in AI model training and pre-emptive safety protocols.
  • Protecting Workers: Legislation to prevent the replacement of workers, like voice actors and call center employees, with AI technologies.

New in Gemini: Custom Gems and improved image generation with Imagen 3 — from blog.google
The ability to create custom Gems is coming to Gemini Advanced subscribers, and updated image generation capabilities with our latest Imagen 3 model are coming to everyone.

We have new features rolling out, [that started on 8/28/24], that we previewed at Google I/O. Gems, a new feature that lets you customize Gemini to create your own personal AI experts on any topic you want, are now available for Gemini Advanced, Business and Enterprise users. And our new image generation model, Imagen 3, will be rolling out across Gemini, Gemini Advanced, Business and Enterprise in the coming days.


Cut the Chatter, Here Comes Agentic AI — from trendmicro.com

Major AI players caught heat in August over big bills and weak returns on AI investments, but it would be premature to think AI has failed to deliver. The real question is what’s next, and if industry buzz and pop-sci pontification hold any clues, the answer isn’t “more chatbots”, it’s agentic AI.

Agentic AI transforms the user experience from application-oriented information synthesis to goal-oriented problem solving. It’s what people have always thought AI would do—and while it’s not here yet, its horizon is getting closer every day.

In this issue of AI Pulse, we take a deep dive into agentic AI, what’s required to make it a reality, and how to prevent ‘self-thinking’ AI agents from potentially going rogue.

Citing AWS guidance, ZDNET counts six different potential types of AI agents:

    • Simple reflex agents for tasks like resetting passwords
    • Model-based reflex agents for pro vs. con decision making
    • Goal-/rule-based agents that compare options and select the most efficient pathways
    • Utility-based agents that compare for value
    • Learning agents
    • Hierarchical agents that manage and assign subtasks to other agents

Ask Claude: Amazon turns to Anthropic’s AI for Alexa revamp — from reuters.com by Greg Bensinger

Summary:

  • Amazon developing new version of Alexa with generative AI
  • Retailer hopes to generate revenue by charging for its use
  • Concerns about in-house AI prompt Amazon to turn to Anthropic’s Claude, sources say
  • Amazon says it uses many different technologies to power Alexa

Alibaba releases new AI model Qwen2-VL that can analyze videos more than 20 minutes long — from venturebeat.com by Carl Franzen


Hobbyists discover how to insert custom fonts into AI-generated images — from arstechnica.com by Benj Edwards
Like adding custom art styles or characters, in-world typefaces come to Flux.


200 million people use ChatGPT every week – up from 100 million last fall, says OpenAI — from zdnet.com by Sabrina Ortiz
Nearly two years after launching, ChatGPT continues to draw new users. Here’s why.

 

Accessibility and AI — from teaching.virginia.edu; via Derek Bruff
This collection explores the intersection of AI and accessibility, highlighting how AI can both support and pose challenges to students with disabilities. It offers practical insights, strategies, and tools for fostering inclusive, accessible learning environments.

Accessibility and AI

 

Success Rates Report for the State of Michigan — from mischooldata.org

The Success Rates report and data files show the number of degree-seeking students who enter a Michigan postsecondary community college or public university and achieve a successful outcome. This includes data for Michigan’s 28 community colleges and 15 public universities, along with aggregate metrics for the community college and public university sectors broken out by race/ethnicity and gender.

Successful outcomes include:

  • Earning a certificate
  • Earning an associate degree
  • Earning a bachelor’s degree
  • Transferring to a university (for community college students)

These rates capture both part- and full-time enrollment for all degree-seeking students as well as mobility between institutions.

The report and data files are updated in late spring. See the Recently Posted Reports page for when they were last updated.


Also see:

……

.

Get A Job — from pathfinder.mitalent.org

  • Interested in exploring in-demand jobs in Michigan? Explore Michigan’s Hot 50 Job Outlook through 2030, which includes the anticipated job growth, the average wage and the minimum education requirements for each occupation through 2028. The publication is intended to provide valuable career information to students in high school, vocational and community colleges, as well as job seekers. Additional occupational forecasts and research are available in Michigan’s Online Job Demand, a publication from Michigan’s Labor Market Information.
  • The Roadmap to Opportunity highlights in-demand, high-wage careers. Explore hot job career pathways that require a certificate or an associate degree. Hear from Michigan residents who have chosen these careers and why. The website includes pathway information for the careers, including information on available programs, hourly wage rates, and cool classes you can take.
  • Pure Michigan Talent Connect is your launch pad for new jobs, careers and job fairs. It is a tool connecting Michigan’s job seekers and employers and serves as a central hub linking all public and private stakeholders who support Michigan’s workforce. Pure Michigan Talent Connect serves as the state’s labor exchange system.
  • The Michigan College Access Network has a list of Michigan certificate programs (PDF 770KB) which includes contact information.

Post-Graduation Opportunities and Resources — from Kent ISD/kentisd.org

The Michigan Department of Education (MDE) has partnered with the Michigan Department of Labor and Economic Opportunity (LEO) and other statewide stakeholders to develop a post-graduation opportunities informational packet available on LEO’s Pathfinder resources page.

To comply with Michigan law*, districts are required to distribute the link above to all students in grades 8-12 by October 1 of each year. The information below is supplemental and focused on local opportunities and resources, assembled by Kent ISD staff.

College Information

Get a Job

Serve My Community or Country

I’m Not Sure / Assess My Skills
The Educational Development Plan (EDP) tools listed on the Pathfinder site are free and very useful. However, most school districts supply students with EDP software such as Xello,  Naviance, and Mavin for Career Development starting in 7th grade. Parents and teachers of enrolled students have access to their students’ EDP data through (and, in some cases, past) graduation. Consult with your school district for access to this resource.

Early College Credit in High School

Additional Resources


.

From DSC:
I realize that’s a gross generalization, but I think we all experience numerous times these days when businesses and others don’t really care about us.

See where I’m coming from.

 

AI agents are the future, and a lot is at stake — from forbes.com by Skip Sanzeri

What An Agent Is
Agents are computer programs that can autonomously perform tasks, make decisions and interact with humans or other computers. There are many different types of agents, and they are designed to achieve specific goals spanning our lives and nearly every industry, making them an integral and unstoppable part of our future.

Learning: AI agents will transform education by providing personalized learning experiences such as one-to-one tutoring. ChatGPT and other large language models (LLMs) are providing access to all digital knowledge now. An “agent” would act as a more personalized version of an LLM.

The hacking and control of an AI agent could lead to disastrous consequences, affecting privacy, security, the economy and societal stability. Proactive and comprehensive security strategies are essential to mitigate these risks in the future.

 

New Microschools for a New School Year — from the74million.org by Kerry McDonald
As parent demand for more individualized education options grows, everyday entrepreneurs are stepping up to meet that demand by launching microschools

Microschools and similarly creative schooling options gained increased popularity in the wake of the pandemic, and they continue to gain momentum. Not only are new schools and spaces opening across the U.S. but existing ones are expanding.

New data from VELA, a philanthropic nonprofit organization and entrepreneur community, reveals that over 90 percent of the unconventional learning environments it surveyed had more learners last fall than they did at their launch date, and the median compound rate of growth for these programs was 25 percent a year.

 

School is back in session, and so are AI art classes — from hyperallergic.com by Isa Farfan
New university programs are incorporating generative tools into studio art courses while attempting to address the murky ethics of the technology.

There’s a new addition to the course catalog at Ringling College of Art and Design, a small private art school in southwest Florida: an Artificial Intelligence Undergraduate Certificate.

The college claimed its new program is the first-of-its-kind AI certificate at an undergraduate arts institution in a news release earlier this month. Other schools in the United States offer courses and certificates focused on the integration of artificial intelligence and creative work, and educators across the country have already brought the technology into the art studio. Critics, however, say pushing AI into arts education won’t level the playing field for professional artists competing against increasingly sophisticated generative tools.


From DSC:
Though this next item is not necessarily related to AI, the following is still art and it’s very fun to watch!

 

8 Legal Tech Trends Transforming Practice in 2024 — from lawyer-monthly.com

Thanks to rapid advances in technology, the entire scenario within the legal landscape is changing fast. Fast forward to 2024, and legal tech integration would be the lifeblood of any law firm or legal department if it wishes to stay within the competitive fray.

Innovations such as AI-driven tools for research to blockchain-enabled contracts are thus not only guideline highlights of legal work today. Understanding and embracing these trends will be vital to surviving and thriving in law as the revolution gains momentum and the sands of the world of legal practice continue to shift.

Below are the eight expected trends in legal tech defining the future legal practice.


Building your legal practice’s AI future: Understanding the actual technologies — from thomsonreuters.com by
The implementation of a successful AI strategy for a law firm depends not only on having the right people, but also understanding the tech and how to make it work for the firm

While we’re not delving deep here into how generative artificial intelligence (GenAI) and large language models (LLMs) work, we will talk generally about different categories of tech and emerging GenAI functionalities that are specific for legal.


Ex-Microsoft engineers raise $25M for legal tech startup that uses AI to help lawyers analyze data — from geekwire.com by Taylor Soper

Supio, a Seattle startup founded in 2021 by longtime friends and former Microsoft engineers, raised a $25 million Series A investment to supercharge its software platform designed to help lawyers quickly sort, search, and organize case-related data.

Supio focuses on cases related to personal injury and mass tort plaintiff law (when many plaintiffs file a claim). It specializes in organizing unstructured data and letting lawyers use a chatbot to pull relevant information.

“Most lawyers are data-rich and time-starved, but Supio automates time-sapping manual processes and empowers them to identify critical information to prove and expedite their cases,” Supio CEO and co-founder Jerry Zhou said in a statement.


ILTACON 2024: Large law firms are moving carefully but always forward with their GenAI strategy — from thomsonreuters.com by Zach Warren

NASHVILLE — As the world approaches the two-year mark since the original introduction of OpenAI’s ChatGPT, law firms already have made in-roads into establishing generative artificial intelligence (GenAI) as a part of their firms. Whether for document and correspondence drafting, summarization of meetings and contracts, legal research, or for back-office capabilities, firms have been playing around with a number of use cases to see where the technology may fit into the future.


Thomson Reuters acquires pre-revenue legal LLM developer Safe Sign Technologies – Here’s why — from legaltechnology.com by Caroline Hill

Thomson Reuters announced (on August 21) it has made the somewhat unusual acquisition of UK pre-revenue startup Safe Sign Technologies (SST), which is developing legal-specific large language models (LLMs) and as of just eight months ago was operating in stealth mode.

There isn’t an awful lot of public information available about the company but speaking to Legal IT Insider about the acquisition, Hron explained that SST is focused in part on deep learning research as it pertains to training large language models and specifically legal large language models. The company as yet has no customers and has been focusing exclusively on developing the technology and the models.


Supio brings generative AI to personal injury cases — from techcrunch.com by Kyle Wiggers

Legal work is incredibly labor- and time-intensive, requiring piecing together cases from vast amounts of evidence. That’s driving some firms to pilot AI to streamline certain steps; according to a 2023 survey by the American Bar Association, 35% of law firms now use AI tools in their practice.

OpenAI-backed Harvey is among the big winners so far in the burgeoning AI legal tech space, alongside startups such as Leya and Klarity. But there’s room for one more, says Jerry Zhou and Kyle Lam, the co-founders of an AI platform for personal injury law called Supio, which emerged from stealth Tuesday with a $25 million investment led by Sapphire Ventures.

Supio uses generative AI to automate bulk data collection and aggregation for legal teams. In addition to summarizing info, the platform can organize and identify files — and snippets within files — that might be useful in outlining, drafting and presenting a case, Zhou said.


 

ILTACON 2024: Selling legal tech’s monorail — from abajournal.com by Nicole Black

The bottom line: The promise of GenAI for our profession is great, but all signs point to the realization of its potential being six months out or more. So the question remains: Will generative AI change the legal landscape, ushering in an era of frictionless, seamless legal work? Or have we reached the pinnacle of its development, left only with empty promises? I think it’s the former since there is so much potential, and many companies are investing significantly in AI development, but only time will tell.


From LegalZoom to AI-Powered Platforms: The Rise of Smart Legal Services — from tmcnet.com by Artem Vialykh

In today’s digital age, almost every industry is undergoing a transformation driven by technological innovation, and the legal field is no exception. Traditional legal services, often characterized by high fees, time-consuming processes, and complex paperwork, are increasingly being challenged by more accessible, efficient, and cost-effective alternatives.

LegalZoom, one of the pioneers in offering online legal services, revolutionized the way individuals and small businesses accessed legal assistance. However, with the advent of artificial intelligence (AI) and smart technologies, we are witnessing the rise of even more sophisticated platforms that are poised to reshape the legal landscape further.

The Rise of AI-Powered Legal Platforms
AI-powered legal platforms represent the next frontier in legal services. These platforms leverage the power of artificial intelligence, machine learning, and natural language processing to provide legal services that are not only more efficient but also more accurate and tailored to the needs of the user.

AI-powered platforms offer many advantages, with one of them being their ability to rapidly process and analyze large amounts of data quickly. This capability allows them to provide users with precise legal advice and document generation in a fraction of the time it would take a human attorney. For example, AI-driven platforms can review and analyze contracts, identify potential legal risks, and even suggest revisions, all in real-time. This level of automation significantly reduces the time and cost associated with traditional legal services.


AI, Market Dynamics, and the Future of Legal Services with Harbor’s Zena Applebaum — from geeklawblog.com by Greg Lambert

Zena talks about the integration of generative AI (Gen AI) into legal research tools, particularly at Thomson Reuters, where she previously worked. She emphasizes the challenges in managing expectations around AI’s capabilities while ensuring that the products deliver on their promises. The legal industry has high expectations for AI to simplify the time-consuming and complex nature of legal research. However, Applebaum highlights the need for balance, as legal research remains inherently challenging, and overpromising on AI’s potential could lead to dissatisfaction among users.

Zena shares her outlook on the future of the legal industry, particularly the growing sophistication of in-house legal departments and the increasing competition for legal talent. She predicts that as AI continues to enhance efficiency and drive changes in the industry, the demand for skilled legal professionals will rise. Law firms will need to adapt to these shifts by embracing new technologies and rethinking their strategies to remain competitive in a rapidly evolving market.


Future of the Delivery of Legal Services — from americanbar.org
The legal profession is in the midst of unprecedented change. Learn what might be next for the industry and your bar.


What. Just. Happened? (Post-ILTACon Emails Week of 08-19-2024) — from geeklawblog.com by Greg Lambert

Here’s this week’s edition of What. Just. Happened? Remember, you can track these daily with the AI Lawyer Talking Tech podcast (Spotify or Apple) which covers legal tech news and summarizes stories.


From DSC:
And although this next one is not necessarily legaltech-related, I wanted to include it here anyway — as I’m
always looking to reduce the costs of obtaining a degree.

Improve the Diversity of the Profession By Addressing the Costs of Becoming a Lawyer — from lssse.indiana.edu by Joan Howarth

Not surprisingly, then, research shows that economic assets are a significant factor in bar passage. And LSSSE research shows us the connections between the excessive expense of becoming a lawyer and the persistent racial and ethnic disparities in bar passage rate.

The racial and ethnic bar passage disparities are extreme. For example, the national ABA statistics for first time passers in 2023-24 show White candidates passing at 83%, compared to Black candidates (57%) with Asians and Hispanics in the middle (75% and 69%, respectively).

These disturbing figures are very related to the expense of becoming a lawyer.

Finally, though, after decades of stability — or stagnation — in attorney licensing, change is here. And some of the changes, such as the new pathway to licensure in Oregon based on supervised practice instead of a traditional bar exam, or the Nevada Plan in which most of the requirements can be satisfied during law school, should significantly decrease the costs of licensure and add flexibility for candidates with responsibilities beyond studying for a bar exam.  These reforms are long overdue.


Thomson Reuters acquires Safe Sign Technologies — from legaltechnology.com by Caroline Hill

Thomson Reuters today (21 August) announced it has acquired Safe Sign Technologies (SST), a UK-based startup that is developing legal-specific large language models (LLMs) and as of just eight months ago was operating in stealth mode.

 

Generative AI and the Time Management Revolution — from ai-mindset.ai by Conor Grennan

Here’s how we need to change our work lives:

  1. RECLAIM: Use generative AI to speed up your daily tasks. Be ruthless. Anything that can be automated, should be.
  2. PROTECT: This is the crucial step. That time you’ve saved? Protect it like it’s the last slice of pizza. Block it off in your calendar. Tell your team it’s sacred.
  3. ELEVATE: Use this protected time for high-level thinking. Strategy. Innovation. The big, meaty problems you never have time for.
  4. AMPLIFY: Here’s where it gets cool. Use generative AI to amp up your strategic thinking. Need to brainstorm solutions to a complex problem? Want to analyze market trends? Generative AI is your new thinking partner.

The top 100 Gen AI Consumer Apps — 3rd edition — from a16z.com by Andreessen Horowitz

But amid the relentless onslaught of product launches, investment announcements, and hyped-up features, it’s worth asking: Which of these gen AI apps are people actually using? Which behaviors and categories are gaining traction among consumers? And which AI apps are people returning to, versus dabbling and dropping?

Welcome to the third installment of the Top 100 Gen AI Consumer Apps.
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Gen AI’s next inflection point: From employee experimentation to organizational transformation — from mckinsey.com by Charlotte Relyea, Dana Maor, and Sandra Durth with Jan Bouly
As many employees adopt generative AI at work, companies struggle to follow suit. To capture value from current momentum, businesses must transform their processes, structures, and approach to talent.

To harness employees’ enthusiasm and stay ahead, companies need a holistic approach to transforming how the whole organization works with gen AI; the technology alone won’t create value.

Our research shows that early adopters prioritize talent and the human side of gen AI more than other companies (Exhibit 3). Our survey shows that nearly two-thirds of them have a clear view of their talent gaps and a strategy to close them, compared with just 25 percent of the experimenters. Early adopters focus heavily on upskilling and reskilling as a critical part of their talent strategies, as hiring alone isn’t enough to close gaps and outsourcing can hinder strategic-skills development. Finally, 40 percent of early-adopter respondents say their organizations provide extensive support to encourage employee adoption, versus 9 percent of experimenter respondents.


Adobe drops ‘Magic Fixup’: An AI breakthrough in the world of photo editing — from venturebeat.com by Michael Nuñez

Adobe researchers have revealed an AI model that promises to transform photo editing by harnessing the power of video data. Dubbed “Magic Fixup,” this new technology automates complex image adjustments while preserving artistic intent, potentially reshaping workflows across multiple industries.

Magic Fixup’s core innovation lies in its unique approach to training data. Unlike previous models that relied solely on static images, Adobe’s system learns from millions of video frame pairs. This novel method allows the AI to understand the nuanced ways objects and scenes change under varying conditions of light, perspective, and motion.


Top AI tools people actually use — from heatherbcooper.substack.com by Heather Cooper
How generative AI tools are changing the creative landscape

The shift toward creative tools
Creative tools made up 52% of the top generative AI apps on the list. This seems to reflect a growing consumer demand for accessible creativity through AI with tools for image, music, speech, video, and editing.

Creative categories include:

  • Image: Civitai, Leonardo, Midjourney, Yodayo, Ideogram, SeaArt
  • Music: Suno, Udio, VocalRemover
  • Speech: ElevenLabs, Speechify
  • Video: Luma AI, Viggle, Invideo AI, Vidnoz, ClipChamp
  • Editing: Cutout Pro, Veed, Photoroom, Pixlr, PicWish

Why it matters:
Creative apps are gaining traction because they empower digital artists and content creators with AI-driven tools that simplify and enhance the creative process, making professional-level work more accessible than ever.

 
© 2024 | Daniel Christian