Regarding this Tweet on X/Twitter:


To Unleash Legal Tech, Lawyers And Engineers Need To Talk — from forbes.com by Tanguy Chau

Here, I’ll explore some ways that engineers and lawyers see the world differently based on their strengths and experiences, and I’ll explain how they can better communicate to build better software products, especially in AI, for attorneys. Ideally, this will lead to happier lawyers and more satisfied clients.


Zuputo: Africa’s first women-led legal tech startup launches — from myjoyonline.com

A groundbreaking legal tech startup, Zuputo, is set to reshape the legal landscape across Africa by making legal services more accessible, affordable, and user-friendly.

Founded by Jessie Abugre and Nana Adwoa Amponsah-Mensah, this women-led venture has become synonymous with simplicity and efficiency in legal solutions.


 

Nearly half of companies say they plan to eliminate bachelor’s degree requirements in 2024 — from highereddive.com by Carolyn Crist
Many employers are dropping degree requirements to create a more diverse workforce and increase job candidate numbers, survey results show.

Forty-five percent of companies plan to eliminate bachelor’s degree requirements for some positions in 2024, according to a Nov. 29 report from Intelligent.com.

In 2023, 55% of companies removed degree requirements, particularly for entry-level and mid-level roles, the survey shows. Employers said they dropped these requirements to create a more diverse workforce, increase the number of applicants for open positions and because there are other ways to gain skills.


Fitch Ratings issues deteriorating outlook for higher ed in 2024 — from highereddive.com by Natalie Schwartz
The credit ratings agency cited high labor and wage costs, elevated interest rates and uneven enrollment gains across the sector.

Dive Brief:

  • Fitch Ratings issued a deteriorating outlook Monday for U.S. colleges and universities in 2024, citing high labor and wage costs, elevated interest rates and uneven enrollment gains across the sector.
  • These challenges will limit colleges’ financial flexibility next year, according to the credit ratings agency. Moreover, Fitch analysts expect only a 2% to 4% uptick in colleges’ net tuition revenue and said tuition increases likely cannot counter rising operating expenses.
  • The outlook expects the divide to grow between large selective colleges and their smaller, less selective counterparts. “Flagship schools and selective private institutions are expected to experience relatively steady to favorable enrollment, while some regional public institutions and less-selective private schools in competitive markets have experienced declines,” according to the analysis.

Credit rating agencies split on higher ed outlook in 2024 — from highereddive.com by Jeremy Bauer-Wolf
S&P argues economic conditions will stress regional institutions, though Moody’s says the sector is stable overall.

Dive Brief:

  • Two credit rating agencies are somewhat divided in their outlooks for U.S. higher education in 2024, with one arguing the sector has stabilized, while the other forecasts tough economic conditions for less selective, regional colleges.
  • Revenue growth from sources like tuition and state funding looks promising, Moody’s Investors Service argued in an analysis Thursday. S&P Global Ratings, however, said Thursday that only highly selective institutions will enjoy student demand and healthy balance sheets. Their less selective counterparts face enrollment declines and credit pressures in turn, S&P said.
  • Both organizations agreed that labor shortages and similar challenges will squeeze colleges next year. Higher ed is contending with a boom in union activity, while widespread faculty tenure “remains a unique sector risk, limiting budget and operating flexibility,” Moody’s said.

 

 

 

Channel 1 -- personalized gloabl news network powered by generative AI

From DSC:
Hhhhhmmmmm……not sure yet that this is a good idea. But I doubt there’s any stopping it.

 



How AI ‘sees’ the world – what happened when we trained a deep learning model to identify poverty — from theconversation.com by Ola Hall Hamid Sarmadi Thorsteinn Rögnvaldsson

Recent advances in artificial intelligence (AI) have created a step change in how to measure poverty and other human development indicators. Our team has used a type of AI known as a deep convolutional neural network (DCNN) to study satellite imagery and identify some types of poverty with a level of accuracy close to that of household surveys.


E.U. reaches deal on landmark AI bill, racing ahead of U.S. — from washingtonpost.com by Anthony Faiola, Cat Zakrzewski and Beatriz Ríos (behind paywall)
The regulation paves the way for what could become a global standard to classify risk, enforce transparency and financially penalize tech companies for noncompliance.

European Union officials reached a landmark deal Friday on the world’s most ambitious law to regulate artificial intelligence, paving the way for what could become a global standard to classify risk, enforce transparency and financially penalize tech companies for noncompliance.

Along these lines, also see:


 

 

An Opinionated Guide to Which AI to Use: ChatGPT Anniversary Edition — from oneusefulthing.org by Ethan Mollick
A simple answer, and then a less simple one.

If you are at all interested in generative AI and understanding what it can do and why it matters, you should just get access to OpenAI’s GPT-4 in as unadulterated and direct way as possible. Everything else comes after that.

Now, to be clear, this is not the free ChatGPT, which uses GPT-3.5.


America's Next Top Model LLMs in Educational Settings

1. America’s Next Top Model LLMs in Educational Settings

  • PDF
    Topics Discussed:
    Need for a Comprehensive Student-Centric Approach
    Collaboration between EdTech Companies and Educators
    Personalized Learning Orchestration
    Innovation and Agility of Startups vs. Resources of Big Tech
    The Essential Role of AI in Transforming Education
  • Video recording from Edtech Insiders

2. Hello, Mr. Chips: AI Teaching Assistants, Tutors, Coaches and Characters

  • PDF
    Topics discussed:
    Engagement and Co-Creation
    Educator Skills and AI Implementation
    Teacher Empowerment and Student Creativity
    Efficacy and Ethical Concerns
  • Video recording from Edtech Insiders

He Was Falsely Accused of Using AI. Here’s What He Wishes His Professor Did Instead | Tech & Learning — from techlearning.com by Erik Ofgang
When William Quarterman was accused of submitting an AI-generated midterm essay, he started having panic attacks. He says his professor should have handled the situation differently.


Teaching: Practical AI strategies for the classroom — from chronicle.com by Beckie Supiano and Luna Laliberte

Here are several strategies you can try.

  • Quick Hits: Several presenters suggested exercises that can be quick, easy, and fun for students. Invite your class to complete a Mad Libs using ChatGPT. It’s a playful way to leverage ChatGPT’s ability to predict the next word, giving students insight into how generative AI works on a fundamental level. You can also have your students use ChatGPT to rewrite their own writing in the tone and style of their favorite writers. This exercise demonstrates AI’s ability to mimic style and teaches students about adopting different tones in writing.
  • Vetting Sources
  • Grade ChatGPT
  • Lead by Example  

Embracing Artificial Intelligence in the Classroom — from gse.harvard.edu; via Alex Webb at Bloomberg
Generative AI tools can reflect our failure of imagination and that is when the real learning starts


Class Disrupted S5 E3: The Possibilities & Challenges of Artificial Intelligence in the Classroom — from the74million.org by Michael B. Horn & Diane Tavenner
AI expert and Minerva University senior Irhum Shafkat joins Michael and Diane to discuss where the technology is going.


Schools urged to teach children how to use AI from age of 11 — from news.sky.com by Tom Acres
Artificial intelligence tools such as ChatGPT are being used by children to help with homework and studying – and there are calls for it to become a central part of the school curriculum.

Excerpt (emphasis DSC):

Schools have been urged to teach children how to use AI from the age of 11 as the technology threatens to upend the jobs market.

Rather than wait for pupils to take up computer science at GCSE, the British Computer Society (BCS, The Chartered institute for IT) said all youngsters need to learn to work with tools like ChatGPT.

The professional body for computing wants a digital literary qualification to be introduced, with a strong focus on artificial intelligence and its practical applications.

An understanding of AI should also become a key part of teacher training and headteacher qualifications, it added.


Improving Your Teaching With an AI Coach — from edutopia.org by Stephen Noonoo
New tools are leveraging artificial intelligence to help teachers glean insights into how they interact with students.


COMMENTARY
Embracing artificial intelligence in the workforce starts with higher education — from nebraskaexaminer.com by Jaci Lindburg and Cassie Mallette

When students can understand the benefit of using it effectively, and learn how to use AI to brainstorm, problem solve, and think through decision making scenarios, they can work more efficiently, make difficult decisions faster and improve a company’s production output.

It is through embracing the power and potential of AI that we can equip our students with future-ready skills. Through intentional teaching strategies that guide students to think creatively about how to use AI in their work, higher education can ensure that students are on the cutting edge in terms of using advancing technologies and being workforce ready upon graduation.

Also see:

The ChatGPT/AI Prompt Book is a resource for the UNO community that demonstrates how students can use AI in their studies and how faculty can incorporate it into their courses and daily work. The goal: to teach individuals how to be better prompt engineers and develop the skills needed to utilize this emerging technology as one of the many tools available to them in the workforce.


Two Ideas for Teaching with AI: Course-Level GPTs and AI-Enhanced Polling — from derekbruff.org by Derek Bruff

Excerpt (emphasis DSC):

Might we see course-level GPTs, where the chatbot is familiar with the content in a particular course and can help students navigate and maybe even learn that material? The answer is, yes and they’re already here. Top Hat recently launched Ace, an AI-powered learning assistant embedded in its courseware platform. An instructor can activate Ace, which then trains itself on all the learning materials in the course. Students can then use Ace as a personal tutor of sorts, asking it questions about course material.

Ace from Top Hat -- empowering educators and students with a human-centered application of AI


Reflections On AI Policies in Higher Education — from jeppestricker.substack.com by Jeppe Klitgaard Stricker
And Why First-Hand Generative AI Experience is Crucial for Leadership

AI is already showing far-reaching consequences for societies and educational institutions around the world. It is my contention that it is impossible to set strategic direction for AI in higher education if you haven’t yet tried working with the technology yourself. The first wave of overwhelming, profound surprise simply cannot be outsourced to other parts of the organization.

I mention this because the need for both strategic and operational guidance for generative AI is growing rapidly in higher education institutions. Without the necessary – and quite basic – personal generative AI experience, however, it becomes difficult for leadership to meaningfully direct and anchor AI in the organization.

And without clear guidance in place, uncertainty arises for all internal stakeholders about expectations and appropriate uses of AI. This makes developing an institutional AI policy not just sensible, but necessary.




A free report for educational leaders and policymakers who want to understand the AI World — from stefanbauschard.substack.com by Stefan Bauschard
And the immediate need for AI literacy

Beyond synthesizing many ideas from educational theory and AI deep learning, the report provides a comprehensive overview of developments in the field of AI, including current “exponential advances.” It’s updated through the release of Gemini and Meta’s new “Seamless” translation technology that arguably eliminates the need for most translators, and probably even the need to learn to speak another language for most purposes.

We were a mere 18 hours too late from covering an entire newscast (and news channel) that is produced with AI in a way that creates representations that are indistinguishable from what is “real” (see below) though it super-charges our comprehensive case and immediate AI literacy.

We also provide several suggestions and a potential roadmap for schools to help students prepare for an AI World where computers are substantialy smarter than them in many ways.

 

Can new AI help to level up the scales of justice?


From DSC:
As you can see from the above items, Mr. David Goodrich, a great human being and a fellow Instructional Designer, had a great comment and question regarding the source of my hope that AI — and other forms of legaltech — could significantly provide more access to justice here in America. Our civil justice system has some serious problems — involving such areas as housing, employment, healthcare, education, families, and more.

I’d like to respond to that question here.

First of all, I completely get what David is saying. I, too, have serious doubts that our horrible access to justice (#A2J) situation will get better. Why? Because:

  • Many people working within the legal field like it this way, as they are all but assured victory in most of the civil lawsuits out there.
  • The Bar Associations of most of the states do not support changes that would threaten their incomes/livelihoods. This is especially true in California and Florida.
  • The legal field in general is not composed, for the most part, of highly innovative people who make things happen for the benefit of others. For example, the American Bar Association is 20+ years behind in terms of providing the level of online-based learning opportunities that they should be offering. They very tightly control how legal education is delivered in the U.S.

Here are several areas that provide me with hope for our future


There are innovative individuals out there fighting for change.
And though some of these individuals don’t reside in the United States, their work still impacts many here in America. For examples, see:

There are innovative new companies, firms, and other types of organizations out there fighting for change. For examples:

There are innovative new tools and technologies out there such as:

  • Artificial Intelligence (AI) and Machine Learning (ML) 
    • AI and machine learning remain pivotal in legaltech, especially for in-house lawyers who deal with vast quantities of contracts and complex legal matters. In 2024, these technologies will be integral for legal research, contract review, and the drafting of legal documents. Statistics from the Tech & the Law 2023 Report state more than three in five corporate legal departments (61%) have adopted generative AI in some capacity, with 7% actively using generative AI in their day-to-day work. With constant improvements to LLM (Large Language Models) by the big players, i.e. OpenAI, Google, and Microsoft (via OpenAI), 2024 will see more opportunities open and efficiencies gained for legal teams. (Source)
    • From drafting contracts to answering legal questions and summarising legal issues, AI is revolutionising the legal profession and although viewed with a sceptical eye by some law firms, is generally perceived to be capable of bringing huge benefits. (Source)
    • Legal bots like Harvey will assist lawyers with discovery.
  • Technology-assisted review (TAR) in e-discovery
  • Due to COVID 19, there were virtual courtrooms set up and just like with virtual/online-based learning within higher education, many judges, litigants, lawyers, and staff appreciated the time savings and productivity gains. Along these lines, see Richard Susskind’s work. [Richard] predicts a world of online courts, AI-based global legal businesses, disruptive legal technologies, liberalized markets, commoditization, alternative sourcing, simulated practice on the metaverse, and many new legal jobs. (Source)

There are innovative states out there fighting for change. For examples:

  • Utah in 2020 launched a pilot program that suspended ethics rules to allow for non-lawyer ownership of legal services providers and let non-lawyers apply for a waiver to offer certain legal services. (Source)
  • Arizona in 2021 changed its regulatory rules to allow for non-lawyer ownership. (Source)
  • Alaska with their Alaska Legal Services Corporation
  • …and others

And the last one — but certainly not the least one — is where my faith comes into play. I believe that the Triune God exists — The Father, The Son, and The Holy Spirit — and that the LORD is very active in our lives and throughout the globe. And one of the things the LORD values highly is JUSTICE. For examples:

  • Many seek an audience with a ruler, but it is from the Lord that one gets justice. Proverbs 29:26 NIV
  • These are the things you are to do: Speak the truth to each other, and render true and sound judgment in your courts; Zechariah 8:16 NIV
  • …and many others as can be seen below

The LORD values JUSTICE greatly!


So I believe that the LORD will actively help us provide greater access to justice in America.


Well…there you have it David. Thanks for your question/comment! I appreciate it!

 

Psalm 136:1 New International Version

Give thanks to the Lord, for he is good.
His love endures forever.

John 1:1-5 New International Version
The Word Became Flesh

1 In the beginning was the Word, and the Word was with God, and the Word was God. He was with God in the beginning. Through him all things were made; without him nothing was made that has been made. In him was life, and that life was the light of all mankind. The light shines in the darkness, and the darkness has not overcome it.

1 Chronicles 16:8 New International Version

8 Give praise to the Lord, proclaim his name;
make known among the nations what he has done.

Daniel 4:37 New International Version

37 Now I, Nebuchadnezzar, praise and exalt and glorify the King of heaven, because everything he does is right and all his ways are just. And those who walk in pride he is able to humble.

 

Educational practices to identify and support students experiencing homelessness — from edresearchforaction.org by Alexandra Pavlakis, J. Kessa Roberts, Meredith Richards, Kathryn Hill, and Zitsi Mirakhur

The EdResearch for Action Overview Series summarizes the research on key topics to provide K-12 education decision makers and advocates with an evidence base to ground discussions about how to best serve students. Authors – leading experts from across the field of education research – are charged with highlighting key findings from research that provide concrete, strategic insight on persistent challenges sourced from district and state leaders.

Central Question
What evidence-based practices can schools and districts implement to identify and support students experiencing homelessness?

 

Learning and employment record use cases -- from the National Governors Association

LERs Are Hot. What Are States Going To Do With Them?

Governors and state leaders are concerned about the current labor shortage, occurring during a time when many skilled workers are underemployed or even unemployed. Skills-based approaches to hiring and recruiting can shift that dynamic—making pathways to good careers accessible to a wider segment of the workforce and opening up new pools of talent for employers. They do so by focusing on what workers know and can do, not on the degrees or credentials they’ve earned.

That’s the theory. But a lot hinges on how things actually play out on the ground.

Technology will play a key role, and many states have zeroed in on learning and employment records—essentially digital resumes with verified records of people’s skills, educational experiences, and work histories—as an essential tool. A lot of important work is going into the technical design and specifications.

This project, on the other hand, aims to take a step back and look at the current state of play when it comes to the use cases for LERs. Just a few of the key questions:

  • How might employers, education providers, government agencies, and workers themselves actually use them? Will they?
  • In what areas do state policymakers have the most influence over key stakeholders and the most responsibility to invest?
  • What actions are needed now to ensure that LERs, and skills-based hiring more broadly, actually widen access to good jobs—rather than setting up a parallel system that perpetuates many of today’s inequities?
 

34 Big Ideas that will change our world in 2024 — from linkedin.com

34 Big Ideas that will change our world in 2024 -- from linkedin.com 

Excerpts:

6. ChatGPT’s hype will fade, as a new generation of tailor-made bots rises up
11. We’ll finally turn the corner on teacher pay in 2024
21. Employers will combat job applicants’ use of AI with…more AI
31. Universities will view the creator economy as a viable career path

 

Q* MAY have made a breakthrough in two more intelligence domains (reasoning and planning). — from stefanbauschard.substack.com by Stefan Bauschard.
That shouldn’t surprise you; it will eventually happen.

DSC: I’m a bit confused this am as I’m seeing multiple — but different – references to “Q” and what it is. It seems to be at least two different things: 1) OpenAI’s secret project Q* and 2) Amazon Q, a new type of generative artificial intelligence-powered assistant

We need to start aligning the educational system with a world where humans live with machines that have intelligence capabilities that approximate their own.

  • Today’s freshmen *may* graduate into a world where AIs have at least similar intelligence abilities to humans. Today’s 1st graders *probably* will.
  • Efforts need to be made to align the educational system with a world where machines will have intelligence capabilities similar to those of humans.


Uncovering the AI Industry: 50 Most Visited AI Tools and Their 24B+ Traffic Behavior — from writerbuddy.ai; via AI Valley – Barsee



AWS Announces Amazon Q to Reimagine the Future of Work — from press.aboutamazon.com
New type of generative AI-powered assistant, built with security and privacy in mind, empowers employees to get answers to questions, solve problems, generate content, and take actions using the data and expertise found at their company

LAS VEGAS–(BUSINESS WIRE)–At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced Amazon Q, a new type of generative artificial intelligence-(AI) powered assistant that is specifically for work and can be tailored to a customer’s business. Customers can get fast, relevant answers to pressing questions, generate content, and take actions—all informed by a customer’s information repositories, code, and enterprise systems. Amazon Q provides information and advice to employees to streamline tasks, accelerate decision making and problem solving, and help spark creativity and innovation at work.



 

Can new AI help to level up the scales of justice? — from gtlaw.com.au by Peter Waters, Jason Oliver, and David Baddeley

So asks a recent study by two academics from Stanford Law School, David Freeman Engstrom and Nora Freeman Engstrom, on the potential impact of AI on the civil litigation landscape in the US.

It is against this landscape, the study observes, that champions of legal tech have suggested that there is an opportunity for legal tech to “democratise” litigation and put litigation’s “haves” and “have nots” on a more equal footing, by arming smaller firms and sole practitioners with the tools necessary to do battle against their better resourced opponents, and cutting the cost of legal services, putting lawyers within reach of a wider swathe of people.

But is this a real opportunity, and will AI be key to its realisation?

However, while AI may reduce the justice gap between the “haves” and “have-nots” of litigation, it could also exacerbate existing inequalities.

From DSC:
While this article approaches things from the lawyer’s viewpoint, I’d like to see this question and the use of AI from the common man’s/woman’s viewpoint. Why? In order to provide FAR GREATER access to justice (#A2J) for those who can’t afford a lawyer as they head into the civil law courtrooms.

  • Should I take my case to court? Do I have a chance to win this case? If so, how?
  • What forms do I need to complete if I’m going to go to court?
  • When and how do I address the judge?
  • What does my landlord have to do?
  • How do I prevent myself from falling into a debt-collection mess and/or what options do I have to get out of this mess?
  • Are there any lawyers in my area who would take my case on a pro bono basis?
  • …and judges and lawyers — as well as former litigants — could add many more questions (and answers) to this list

Bottom line:
It is my hope that technology can help increase access to justice.


Also relevant/see:

Virtual Justice? Exploring AI’s impact on legal accessibility — from nortonrosefulbright.com by Chris Owen and Mary-Frances Murphy

Excerpt (emphasis DSC):

A number of products are already under development, or have been launched. One example is a project that Norton Rose Fulbright is working on, together with not-for-profit legal service Justice Connect. The scope is to develop an automated natural language processing AI model that seeks to interpret the ‘everyday’ language used by clients in order to identify the client’s legal issues and correctly diagnose their legal problem. This tool is aimed at addressing the struggles that individuals often face in deciphering legal jargon and understanding the nature of their legal issue and the type of lawyer, or legal support, they need to resolve that problem.

 

Expanding Bard’s understanding of YouTube videos — via AI Valley

  • What: We’re taking the first steps in Bard’s ability to understand YouTube videos. For example, if you’re looking for videos on how to make olive oil cake, you can now also ask how many eggs the recipe in the first video requires.
  • Why: We’ve heard you want deeper engagement with YouTube videos. So we’re expanding the YouTube Extension to understand some video content so you can have a richer conversation with Bard about it.

Reshaping the tree: rebuilding organizations for AI — from oneusefulthing.org by Ethan Mollick
Technological change brings organizational change.

I am not sure who said it first, but there are only two ways to react to exponential change: too early or too late. Today’s AIs are flawed and limited in many ways. While that restricts what AI can do, the capabilities of AI are increasing exponentially, both in terms of the models themselves and the tools these models can use. It might seem too early to consider changing an organization to accommodate AI, but I think that there is a strong possibility that it will quickly become too late.

From DSC:
Readers of this blog have seen the following graphic for several years now, but there is no question that we are in a time of exponential change. One would have had an increasingly hard time arguing the opposite of this perspective during that time.

 


 



Nvidia’s revenue triples as AI chip boom continues — from cnbc.com by Jordan Novet; via GSV

KEY POINTS

  • Nvidia’s results surpassed analysts’ projections for revenue and income in the fiscal fourth quarter.
  • Demand for Nvidia’s graphics processing units has been exceeding supply, thanks to the rise of generative artificial intelligence.
  • Nvidia announced the GH200 GPU during the quarter.

Here’s how the company did, compared to the consensus among analysts surveyed by LSEG, formerly known as Refinitiv:

  • Earnings: $4.02 per share, adjusted, vs. $3.37 per share expected
  • Revenue: $18.12 billion, vs. $16.18 billion expected

Nvidia’s revenue grew 206% year over year during the quarter ending Oct. 29, according to a statement. Net income, at $9.24 billion, or $3.71 per share, was up from $680 million, or 27 cents per share, in the same quarter a year ago.



 

From DSC:
The recent drama over at OpenAI reminds me of how important a few individuals are in influencing the lives of millions of people.

The C-Suites (i.e., the Chief Executive Officers, Chief Financial Officers, Chief Operating Officers, and the like) of companies like OpenAI, Alphabet (Google), Meta (Facebook), Microsoft, Netflix, NVIDIA, Amazon, Apple, and a handful of others have enormous power. Why? Because of the enormous power and reach of the technologies that they create, market, and provide.

We need to be praying for the hearts of those in the C-Suites of these powerful vendors — as well as for their Boards.

LORD, grant them wisdom and help mold their hearts and perspectives so that they truly care about others. May their decisions not be based on making money alone…or doing something just because they can.

What happens in their hearts and minds DOES and WILL continue to impact the rest of us. And we’re talking about real ramifications here. This isn’t pie-in-the-sky thinking or ideas. This is for real. With real consequences. If you doubt that, go ask the families of those whose sons and daughters took their own lives due to what happened out on social media platforms. Disclosure: I use LinkedIn and Twitter quite a bit. I’m not bashing these platforms per se. But my point is that there are real impacts due to a variety of technologies. What goes on in the hearts and minds of the leaders of these tech companies matters.


Some relevant items:

Navigating Attention-Driving Algorithms, Capturing the Premium of Proximity for Virtual Teams, & New AI Devices — from implactions.com by Scott Belsky

Excerpts (emphasis DSC):

No doubt, technology influences us in many ways we don’t fully understand. But one area where valid concerns run rampant is the attention-seeking algorithms powering the news and media we consume on modern platforms that efficiently polarize people. Perhaps we’ll call it The Law of Anger Expansion: When people are angry in the age of algorithms, they become MORE angry and LESS discriminate about who and what they are angry at.

Algorithms that optimize for grabbing attention, thanks to AI, ultimately drive polarization.

The AI learns quickly that a rational or “both sides” view is less likely to sustain your attention (so you won’t get many of those, which drives the sensation that more of the world agrees with you). But the rage-inducing stuff keeps us swiping.

Our feeds are being sourced in ways that dramatically change the content we’re exposed to.

And then these algorithms expand on these ultimately destructive emotions – “If you’re afraid of this, maybe you should also be afraid of this” or “If you hate those people, maybe you should also hate these people.”

How do we know when we’ve been polarized? This is the most important question of the day.

Whatever is inflaming you is likely an algorithm-driven expansion of anger and an imbalance of context.


 

 

Where a developing, new kind of learning ecosystem is likely headed [Christian]

From DSC:
As I’ve long stated on the Learning from the Living [Class]Room vision, we are heading toward a new AI-empowered learning platform — where humans play a critically important role in making this new learning ecosystem work.

Along these lines, I ran into this site out on X/Twitter. We’ll see how this unfolds, but it will be an interesting space to watch.

Project Chiron's vision: Our vision for education Every child will soon have a super-intelligent AI teacher by their side. We want to make sure they instill a love of learning in children.


From DSC:
This future learning platform will also focus on developing skills and competencies. Along those lines, see:

Scale for Skills-First — from the-job.beehiiv.com by Paul Fain
An ed-tech giant’s ambitious moves into digital credentialing and learner records.

A Digital Canvas for Skills
Instructure was a player in the skills and credentials space before its recent acquisition of Parchment, a digital transcript company. But that $800M move made many observers wonder if Instructure can develop digital records of skills that learners, colleges, and employers might actually use broadly.

Ultimately, he says, the CLR approach will allow students to bring these various learning types into a coherent format for employers.

Instructure seeks a leadership role in working with other organizations to establish common standards for credentials and learner records, to help create consistency. The company collaborates closely with 1EdTech. And last month it helped launch the 1EdTech TrustEd Microcredential Coalition, which aims to increase quality and trust in digital credentials.

Paul also links to 1EDTECH’s page regarding the Comprehensive Learning Record

 

“We need more high-impact learning practices in prison” — from college-inside.beehiiv.com by Charlotte West
Internships, apprenticeships, and work learning opportunities allow incarcerated students to keep learning after they graduate.

Maine and other states like Colorado are trying to tackle this issue through internships and employment opportunities that allow incarcerated students and graduates to put their professional knowledge and skills into practice — and in some cases, earn a living wage while doing so.

Employment and professional training opportunities inside were a major theme at the 2023 National Conference for Higher Education in Prison, where 800 educators, administrators, students and alumni from dozens of prison education programs gathered in Atlanta, Georgia last week.

 
© 2024 | Daniel Christian