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
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.
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.
What is assistive technology?— from understood.org by Andrew M.I. Lee, JD; expert reviewed by Shelley Haven
Assistive technology (AT) are tools that let people with differences work around challenges. They make tasks and activities accessible at school, work, and home. Learn how AT apps and software can help with reading, writing, math, and more.
What you’ll learn
MIT Technology Review — Big problems that demand bigger energy. — from technologyreview.com by various
Technology is all about solving big thorny problems. Yet one of the hardest things about solving hard problems is knowing where to focus our efforts. There are so many urgent issues facing the world. Where should we even begin? So we asked dozens of people to identify what problem at the intersection of technology and society that they think we should focus more of our energy on. We queried scientists, journalists, politicians, entrepreneurs, activists, and CEOs.
Some broad themes emerged: the climate crisis, global health, creating a just and equitable society, and AI all came up frequently. There were plenty of outliers, too, ranging from regulating social media to fighting corruption.
Teaching writing in the age of AI — from the Future of Learning (a Hechinger Report newsletter) by Javeria Salman
ChatGPT can produce a perfectly serviceable writing “product,” she said. But writing isn’t a product per se — it’s a tool for thinking, for organizing ideas, she said.
“ChatGPT and other text-based tools can’t think for us,” she said. “There’s still things to learn when it comes to writing because writing is a form of figuring out what you think.”
When students could contrast their own writing to ChatGPT’s more generic version, Levine said, they were able to “understand what their own voice is and what it does.”
Grammarly’s new generative AI feature learns your style — and applies it to any text — from techcrunch.com by Kyle Wiggers; via Tom Barrett
But what about text? Should — and if so, how should — writers be recognized and remunerated for AI-generated works that mimic their voices?
Those are questions that are likely to be raised by a feature in Grammarly, the cloud-based typing assistant, that’s scheduled to launch by the end of the year for subscribers to Grammarly’s business tier. Called “Personalized voice detection and application,” the feature automatically detects a person’s unique writing style and creates a “voice profile” that can rewrite any text in the person’s style.
Is AI Quietly Weaving the Fabric of a Global Classroom Renaissance? — from medium.com by Robert the Robot
In a world constantly buzzing with innovation, a silent revolution is unfolding within the sanctuaries of learning—our classrooms.
From bustling metropolises to serene hamlets, schools across the globe are greeting a new companion—Artificial Intelligence (AI). This companion promises to redefine the essence of education, making learning a journey tailored to each child’s unique abilities.
The advent of AI in education is akin to a gentle breeze, subtly transforming the academic landscape. Picture a classroom where each child, with their distinct capabilities and pace, embarks on a personalized learning path. AI morphs this vision into reality, crafting a personalized educational landscape that celebrates the unique potential harbored within every learner.
AI Books for Educators — from aiadvisoryboards.wordpress.com by Barbara Anna Zielonka
Books have always held a special place in my heart. As an avid reader and AI enthusiast, I have curated a list of books on artificial intelligence specifically tailored for educators. These books delve into the realms of AI, exploring its applications, ethical considerations, and its impact on education. Share your suggestions and let me know which books you would like to see included on this list.
SAIL: ELAI recordings, AI Safety, Near term AI/learning — by George Siemens
We held our fourth online Empowering Learners for the Age of AI conference last week. We sold out at 1500 people (a Whova and budget limit). The recordings/playlist from the conference can now be accessed here.
Creating an ‘ecosystem’ to close the Black talent gap in technology — from mckinsey.com (emphasis below from DSC)
Chris Perkins, associate partner, McKinsey: Promoting diversity in tech is more nuanced than driving traditional diversity initiatives. This is primarily because of the specialized hard and soft skills required to enter tech-oriented professions and succeed throughout their careers. Our research shows us that various actors, such as nonprofits, for-profits, government agencies, and educational institutions are approaching the problem in small pockets. Could we help catalyze an ecosystem with wraparound support across sectors?
To design this, we have to look at the full pipeline and its “leakage” points, from getting talent trained and in the door all the way up to the C-suite. These gaps are caused by lack of awareness and support in early childhood education through college, and lack of sponsorship and mentorship in early- and mid- career positions.
The Legal Tech Ecosystem: Innovation, Advancement & the Future of Law Practice — by Colin Levy (Author), Tatia Gordon-Troy (Editor), Bjarne Tellman (Foreword)
The legal landscape is evolving at an unprecedented pace, with the seismic shifts of recent years demanding a fresh perspective on the role of technology and innovation within the legal profession. The Legal Tech Ecosystem delves into this essential transformation, shedding light on the crucial interplay between law and technology in today’s complex world.
At its core, this book addresses the profound changes unfolding in the legal domain, driven by macro-economic forces. These changes have placed an ever-increasing burden on legal departments to accomplish more with fewer resources. A quartet of pillars—the explosive growth of regulations, the challenges posed by globalization, the convergence of risk dimensions, and the pressure on corporate profits—has created an environment where legal professionals must adapt swiftly to succeed.
Preparing Students for the AI-Enhanced Workforce — from insidehighered.com by Ray Schroeder
Our graduating and certificate-completing students need documented generative AI skills, and they need them now.
The common adage repeated again and again is that AI will not take your job; a person with AI skills will replace you. The learners we are teaching this fall who will be entering, re-entering or seeking advancement in the workforce at the end of the year or in the spring must become demonstrably skilled in using generative AI. The vast majority of white-collar jobs will demand the efficiencies and flexibilities defined by generative AI now and in the future. As higher education institutions, we will be called upon to document and validate generative AI skills.
AI image generators: 10 tools, 10 classroom uses — from ditchthattextbook.com by Matt Miller
A Majority of New Teachers Aren’t Prepared to Teach With Technology. What’s the Fix? — from edweek.org by Alyson Klein
Think all incoming teachers have a natural facility with technology just because most are digital natives? Think again.
Teacher preparation programs have a long way to go in preparing prospective educators to teach with technology, according to a report released September 12 by the International Society for Technology in Education, a nonprofit.
In fact, more than half of incoming teachers—56 percent—lack confidence in using learning technology prior to entering the classroom, according to survey data included with the report.
5 Actual Use Cases of AI in Education: Newsletter #68 — from transcend.substack.com by Alberto Arenaza
What areas has AI truly impacted educators, learners & workers?
AI-Powered Higher Ed — from drphilippahardman.substack.com by Dr. Philippa Hardman
What a House of Commons round table discussion tells us about how AI will impact the purpose of higher education
In this week’s blog post I’ll summarise the discussion and share what we agreed would be the most likely new model of assessment in HE in the post-AI world.
But this in turn raises a bigger question: why do people go to university, and what is the role of higher education in the twenty first century? Is it to create the workforce of the future? Or an institution for developing deep and original domain expertise? Can and should it be both?
How To Develop Computational Thinkers — from iste.org by Jorge Valenzuela
In my previous position with Richmond Public Schools, we chose to dive in with computational thinking, programming and coding, in that order. I recommend building computational thinking (CT) competency first by helping students recognize and apply the four elements of CT to familiar problems/situations. Computational thinking should come first because it’s the highest order of problem-solving, is a cross-curricular skill and is understandable to both machines and humans. Here are the four components of CT and how to help students understand them.
2023 Students and Technology Report: Flexibility, Choice, and Equity in the Student Experience — from library.educause.edu by Mark McCormack
Excerpt:
What does it mean to be a student in 2023, on the fading tail end of a global pandemic and in the midst of lingering uncertainty about the world? What do students still need from a postsecondary education, and where does technology serve as a fulcrum—for better and for worse—both opening and closing students’ paths forward through their educational journeys?
In this report we draw on data from EDUCAUSE’s 2023 Student Survey to offer higher education leaders and decision-makers key insights as they consider what these questions might mean for their particular institutions and communities.
The report explores findings across three main areas, each representing a key challenge (and opportunity) institutions are going to face now and in the future:
Students who are empowered to “choose their own adventure” with their course modality engagements are far more satisfied with their course experiences than those who don’t get to choose.
Antitrust and Global Investigations: The Era of the Legal Technologist Has Arrived — from jdsupra.com
The marriage of technology expertise with the license to practice law is in high demand and essential to the efficient handling of large-scale and complex antitrust and white-collar investigations and litigation. This is no longer a discretionary skill set designed to benefit those who respond to ESI requests, but rather a necessary proficiency needed to navigate the eDiscovery landscape.
Why we don’t intuitively get how fast the world is changing.
Our brains understand linear not exponential growth.
30 linear steps = +30
30 exponential steps = +1 billion pic.twitter.com/z9a42eFmZM— Misha (@mishadavinci) July 29, 2023
From DSC:
Which reminds me of some graphics:
McKinsey Technology Trends Outlook 2023 — from mckinsey.com
Excerpt:
Which technology trends have the most momentum in an accelerating world? We ranked the top cross-industry trends that matter most for companies and executives.
