Artificial Intelligence/Agents/LLMs/and Related

7 Technologies that are Changing Healthcare — from digitalsalutem.com by João Bocas

In this article we are going to talk about the seven technologies that are changing healthcare:

Artificial Intelligence
Blockchain
Virtual Reality
Robots
Mapping technologies
Big Data
Neurotechnology

This startup 3D prints tiny homes from recyclable plastics — from interestingengineering.com by Nergis Firtina; with thanks to Laura Goodrich for this resource

Satellite Billboards Are a Dystopian Future We Don’t Need — from gizmodo.com by George Dvorsky; with thanks to Laura Goodrich for this resource
Brightly lit ads in orbit are technologically and economically viable, say Russian scientists. But can we not?

South Korea to Provide Blockchain-based Digital Identities to Citizens by 2024 — from blockchain.news by Annie Li; with thanks to Laura Goodrich for this resource

Excerpt:

South Korea plans to provide digital identities encrypted by blockchain with smartphones to citizens in 2024 to facilitate its economic development., Bloomberg reported Monday.

The South Korean government stated that with the expansion of the digital economy, the ID embedded in the smartphone is an indispensable emerging technology to support the development of data.

From DSC:
Interesting to see blockchain show up in the first item above on healthcare and also on this item coming out of South Korea for digital identities.

The Bruce Willis Deepfake Is Everyone’s Problem — from wired.com by Will Bedingfield; with thanks to Stephen Downes for this resource
There’s a fight brewing over how Hollywood stars can protect their identities. But it’s not just actors who should be paying attention.

Excerpts:

Yet the question of “who owns Bruce Willis,” as Levy put it, isn’t only a concern for the Hollywood star and his representatives. It concerns actors unions across the world, fighting against contracts that exploit their members’ naivety about AI. And, for some experts, it’s a question that implicates everyone, portending a wilder, dystopian future—one in which identities are bought, sold, and seized.

“This is relevant not just to AI contracts [for synthetic performances], but any contract involving rights to one’s likeness and voice,” says Danielle S. Van Lier, assistant general counsel, intellectual property and contracts at SAG-AFTRA. “We have been seeing contracts that now include ‘simulation rights’ to performers’ images, voices, and performances. These contract terms are buried deep in the boilerplate of performance agreements in traditional media.”

Addendum on 10/26/22:

Blockchain and the Future of Medical Technology: Trends in Medicine — from intelligenthq.com

Deloitte State of AI Report 2022 calls out underachievers — from venturebeat.com by Sharon Goldman

Excerpt:

Deloitte released the fifth edition of its State of AI in the Enterprise research report today, which surveyed more than 2,600 global executives on how businesses and industries are deploying and scaling artificial intelligence (AI) projects.

Most notably, the Deloitte report found that while AI continues to move tantalizingly closer to the core of the enterprise – 94% of business leaders agree that AI is critical to success over the next five years – for some, outcomes seem to be lagging.

What is a surprise, she added, is how quickly the AI landscape is changing – to the point that what began as an every-other-year Deloitte report is now created annually.

From DSC:
I’m reminded of some graphics here…

Also relevant/see:

‘State of AI in the Enterprise’ Fifth Edition Uncovers Four Key Actions to Maximize AI Value — from deloitte.com
Research reveals the key actions leaders can take to accelerate AI outcomes

Key takeaways

For Deloitte’s “State of AI in the Enterprise,” Fifth Edition, we surveyed 2,620 global business leaders representing six industry areas and dozens of sectors. Key findings include:

Ninety-four percent of business leaders surveyed agree that AI is critical to success over the next five years.
Seventy-nine percent of leaders say they have fully deployed three or more AI applications, compared to 62% last year.
There was a 29% increase in the number of respondents self-identifying as “underachievers,” suggesting that many organizations are struggling to achieve meaningful AI outcomes.
Top challenges associated with scaling according to respondents are managing AI-related risk (50%), lack of executive commitment (50%), lack of maintenance and post launch support (50%).

The Technology That Is Revolutionising How Business Gets Done [artificiallawyer.com]

On 10/19/2022, in Access to Justice (A2J), Artificial Intelligence/Agents/LLMs/and Related, future, game-changing environment, innovation, law schools, Legal operations, legal technologies, legislatures / government / legal, UK, by Daniel Christian

The Technology That Is Revolutionising How Business Gets Done — from artificiallawyer.com

Excerpt:

We are on the cusp of a revolution. Contract negotiation, with all the associated document redlines and email threads, is about to get a whole lot quicker. Today, artificial intelligence has the potential to save lawyers hours of intense editing – but only if they embrace the sector-wide behaviour change this could ignite.
…
Technology has reached the point that much of the initial legwork of perusing a contract can be done by a piece of software. Precision AI can scan a document and create a list of issues based on how a lawyer typically contracts. It is then up to the lawyer to accept or disregard those issues, but the point is that the initial editing time is greatly reduced.

This is another area where the incredibly slow pace of the American legal system is having a negative effect [Christian]

On 10/18/2022, in 21st century, art, Artificial Intelligence/Agents/LLMs/and Related, copyright/ownership/NFTs, Daniel S. Christian, innovation, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, pace of change, society, United States, by Daniel Christian

From DSC:
This is another area where the slow pace of the American legal system is having a negative effect. The American Bar Association and the majority of the law school graduates (i.e., those who passed the Bar and have been practicing law in one form or another) for the last 30 years have a lot to do with this situation. They have stimied innovation and have protected their turf — at the increasing expense of the American people.

Online learning has been going on since the late 1990’s, yet the ABA STILL doesn’t let law schools have 100% online-based learning without their special consent.

Artists say AI image generators are copying their style to make thousands of new images — and it’s completely out of their control — from businessinsider.com by Beatrice Nolan

Excerpt:

OpenAI, a company founded by Elon Musk, just made its DALL-E image generator open to the public.
Artists say they work for years on their portfolios and people can now make copycat images in seconds.
But some AI companies argue that the new artworks are unique and can be copyrighted.

People are creating thousands of artworks that look like his using programs called AI-image generators, which use artificial intelligence to create original artwork in minutes or even seconds after a user types in a few words as directions.

Rutkowski’s name has been used to generate around 93,000 AI images on one image generator, Stable Diffusion — making him a far more popular search term than Picasso, Leonardo Da Vinci, and Vincent van Gogh in the program.

The 5 Biggest Artificial Intelligence (AI) Trends In 2023 — from forbes.com by Bernard Marr

Excerpt:

Today, the technology most commonly used to achieve AI is machine learning – advanced software algorithms designed to carry out one specific task, such as answering questions, translating languages or navigating a journey – and become increasingly good at it as they are exposed to more and more data.

Worldwide, spending by governments and business on AI technology will top $500 billion in 2023, according to IDC research. But how will it be used, and what impact will it have? Here, I outline what I believe will be the most important trends around the use of AI in business and society over the next 12 months.

Also relevant/see:

Press Art to Continue: New AI Tools Promise Art With the Push of a Button — But Reality Is More Complicated — from blogs.nvidia.com by Brian Caulfield
Creatives like Drew Leung are taking, and breaking, the latest AI tools, and, in the process, learning how they can make their work better.
State of AI Report 2022 — from stateof.ai by Nathan Benaich and Ian Hogarth
The State of AI Report analyses the most interesting developments in AI. We aim to trigger an informed conversation about the state of AI and its implication for the future.

Data Science: Re-Imagining Our Institutions at the Systems Level [Grush & Siemens]

On 10/12/2022, in analytics, Artificial Intelligence/Agents/LLMs/and Related, Australia, colleges, community colleges, convergence, data related items, faculty, higher education, instructional design, learning, learning ecosystem, Learning Experience Design, learning theories, student-related, teaching & learning, United States, vendors, by Daniel Christian

Data Science: Re-Imagining Our Institutions at the Systems Level — from campustechnology.com by Mary Grush
A Q&A with George Siemens

Excerpt:

We know that higher education institutions have been exploring data science for decades. Many began by leveraging institutional data to serve administrative computing needs and efficiencies, later taking on an additional learning science focus, at least to some, often limited degree.

What can institutions do now, to use data science better and perhaps reinvent themselves in the process? Are they taking advantage of all the access they have to so many disciplines and researchers, to help move data science ahead in the real world? Here, George Siemens, who is a professor of practice at the University of Texas-Arlington and co-leads the Centre for Change and Complexity in Learning at the University of South Australia, talks with CT about data science in higher education.

What might the ramifications be for text-to-everything? [Christian]

On 10/11/2022, in 21st century, 24x7x365 access, A/V -- audio/visual, art, Artificial Intelligence/Agents/LLMs/and Related, assistive technologies, Bias | Diversity Equity & Inclusion (DE&I), cloud-based computing / apps / other cloud-related, CMS/LMS, colleges, communications, communities of practice, community colleges, computer science, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, creativity, Daniel S. Christian, digital audio, digital learning, digital storytelling, digital textbooks, digital video, distance education, drama/theater, e-books, e-publishing related items (EPUB and more), education, education technology, elearning, emerging technologies, engagement / engaging students, experimentation, face-to-face, faculty, future, future of higher education, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, IT in HE, K-12 related, languages and translation, law schools, learner profiles, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, legal technologies, media/film, Metaverse, microlearning, Mixed Reality (MR), more voice more choice more control, multimedia, Natural Language Processing (NLP), neurodivergent/special needs, online learning, online media, online tutoring, platforms, podcasting, presentations, productivity / tips and tricks, publishing, smart classrooms, smart/connected TV, story, storytelling, streams of content, teachers, teaching & learning, teaching online, technologies for your home, technology (general), telecommunications, telelegal, telemedicine / telehealth / virtual health, telepresence, television, tools, training / L&D, transmedia, trends, United States, universities, usability, user experience (UX), vendors, videoconferencing, Virtual courts and law firms, vision/possibilities, visualizing information, voice recognition / voice enabled interfaces, wearables, web-based collaboration, Web3, webinars, workplace, by Daniel Christian

From DSC:

We can now type in text to get graphics and artwork.
We can now type in text to get videos.
There are several tools to give us transcripts of what was said during a presentation.
We can search videos for spoken words and/or for words listed within slides within a presentation.

Allie Miller’s posting on LinkedIn (see below) pointed these things out as well — along with several other things.

This raises some ideas/questions for me:

What might the ramifications be in our learning ecosystems for these types of functionalities? What affordances are forthcoming? For example, a teacher, professor, or trainer could quickly produce several types of media from the same presentation.
What’s said in a videoconference or a webinar can already be captured, translated, and transcribed.
Or what’s said in a virtual courtroom, or in a telehealth-based appointment. Or perhaps, what we currently think of as a smart/connected TV will give us these functionalities as well.
How might this type of thing impact storytelling?
Will this help someone who prefers to soak in information via the spoken word, or via a podcast, or via a video?
What does this mean for Augmented Reality (AR), Mixed Reality (MR), and/or Virtual Reality (VR) types of devices?
Will this kind of thing be standard in the next version of the Internet (Web3)?
Will this help people with special needs — and way beyond accessibility-related needs?
Will data be next (instead of typing in text)?

Hmmm….interesting times ahead.

Artificial Intelligence in Video Production [Anderson]

On 10/09/2022, in 21st century, art, Artificial Intelligence/Agents/LLMs/and Related, creativity, design, digital storytelling, digital video, experimentation, Facebook / Meta Platforms, Google, graphics, media/film, storytelling, by Daniel Christian

Artificial Intelligence in Video Production — from provideocoalition.com by Iain Anderson

Introduction

Artificial Intelligence has promised so much for so long, and in many ways, it’s been less than perfect. Siri doesn’t quite understand what you’re asking; Google Translate can’t yet seamlessly bridge the gap between languages, and navigation software still doesn’t always offer an accurate route. But it’s getting pretty good. While a variety of AI-based technologies have been improving steadily over the past several years, it’s the recent giant strides made in image generation that’s potentially groundbreaking for post production professionals. Here, I’ll take you through the ideas behind the tech, along with specific examples of how modern, smart technology will change your post workflow tomorrow, or could today.

Also relevant/see:

Google’s newest AI generator creates HD video from text prompts — from arstechnica.com by Benj Edwards
Not to be outdone by Meta, Google’s AI generator can output 1280×768 HD video at 24 fps.
Google demos two new text-to-video AI systems, focusing on quality and length — from theverge.com by James Vincent

Tearing the ‘paper ceiling’: McKinsey supports effort driving upward mobility for millions of workers [mckinsey.com]

On 10/09/2022, in Alternatives, analytics, Artificial Intelligence/Agents/LLMs/and Related, business, career development, change, cloud-based computing / apps / other cloud-related, corporate / business world, corporate universities / corporate training, skills, society, technology (general), trends, United States, vendors, Web3, workplace, by Daniel Christian

Tearing the ‘paper ceiling’: McKinsey supports effort driving upward mobility for millions of workers — from mckinsey.com

Excerpt:

September 23, 2022There’s a hidden talent pool that most employers overlook—the more than 70 million workers in the US who are STARs, or workers ‘skilled through alternative routes.’ Whether through community college, workforce training, bootcamp or certificate programs, military service, or on-the-job learning, STARs have the skills for higher-wage jobs but often find themselves blocked from consideration.

This week, nonprofit Opportunity@Work and the Ad Council have launched a nationwide campaign to ‘Tear the Paper Ceiling’ and encourage employers to change hiring practices. McKinsey is providing pro bono support to the effort through data and analytics tools that enable recruiters to recognize STARs and their skills.

“While companies scramble to find talent amid a perceived skills gap, many of their job postings have needlessly excluded half of the workers in the country who have the skills for higher-wage work,” says Byron Auguste, founder of Opportunity@Work and a former senior partner at McKinsey. “Companies like the ones we’re proud to call partners in this effort—and those we hope will join—can lead the way by tapping into skilled talent from a far wider range of backgrounds.”

There are lots of reasons why someone might not begin or complete a degree that have nothing to do with their intrinsic abilities or potential. We know there are better ways to screen for talent and now we have the research and tools to back that up.

Carolyn Pierce, McKinsey partner

Also from McKinsey, see:

Latest McKinsey tech outlook identifies 14 key trends for business leaders

Excerpt:

October 4, 2022 The McKinsey Technology Council—a global group of over 100 scientists, entrepreneurs, researchers, and business leaders—has published its second annual Technology Trends Outlook. By assessing metrics of innovation, interest, investment, and adoption, the council has prioritized and synthesized 40 technologies into 14 leading trends.

Following on from last year, applied AI once again earned the highest score for innovation in the report. Sustainability, meanwhile, emerged as a major catalyst for tech around the world, with clean energy and sustainable consumption drawing the highest investment from private-equity and venture-capital firms. And five new trends were added to this year’s edition: industrializing machine learning, Web3, immersive-reality technologies, the future of mobility, and the future of space.

In this post, McKinsey senior partner Lareina Yee, expert partner Roger Roberts, and McKinsey Global Institute partner Michael Chui share their thoughts about what the findings may mean for leaders over the next few years.

Radar Trends to Watch: October 2022 — from oreilly.com by Mike Loukides
Developments in Machine Learning, Metaverse, Web3, and More

Excerpt:

September was a busy month. In addition to continued fascination over art generation with DALL-E and friends, and the questions they pose for intellectual property, we see interesting things happening with machine learning for low-powered processors: using attention, mechanisms, along with a new microcontroller that can run for a week on a single AA battery. In other parts of the technical universe, “platform engineering” has been proposed as an alternative to both DevOps and SRE. We’ve seen demonstrations of SQL injection-like attacks against GPT-3; and companies including Starbucks, Chipotle, and Universal Studios are offering NFT-based loyalty programs. (In addition to a Chipotle’s steak grilling demo in the Metaverse.)

Also relevant/see:

General AI News — from essentials.news

OpenAI Says DALL-E Is Generating Over 2 Million Images a Day—and That’s Just Table Stakes [Dorrier]

On 10/04/2022, in 21st century, 24x7x365 access, A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, design, digital video, disruption, emerging technologies, Facebook / Meta Platforms, graphics, media/film, open courseware and systems, vendors, by Daniel Christian

OpenAI Says DALL-E Is Generating Over 2 Million Images a Day—and That’s Just Table Stakes — from singularityhub.com by Jason Dorrier

Excerpt:

The venerable stock image site, Getty, boasts a catalog of 80 million images. Shutterstock, a rival of Getty, offers 415 million images. It took a few decades to build up these prodigious libraries.

Now, it seems we’ll have to redefine prodigious. In a blog post last week, OpenAI said its machine learning algorithm, DALL-E 2, is generating over two million images a day. At that pace, its output would equal Getty and Shutterstock combined in eight months. The algorithm is producing almost as many images daily as the entire collection of free image site Unsplash.

And that was before OpenAI opened DALL-E 2 to everyone.

Here’s a look at what DALL·E 2 can do. ???

Want to see more? Follow along on Instagram: https://t.co/eKejIFxWdn

— OpenAI (@OpenAI) April 6, 2022

From DSC:
Further on down that Tweet is this example image — wow!
.

.

On the video side of things, also relevant/see:

Meta’s new text-to-video AI generator is like DALL-E for video — from theverge.com by James Vincent
Just type a description and the AI generates matching footage

A sample video generated by Meta’s new AI text-to-video model, Make-A-Video. The text prompt used to create the video was “a teddy bear painting a portrait.” Image: Meta

From DSC:
Hmmm…I wonder…how might these emerging technologies impact copyrights, intellectual property, and/or other types of legal matters and areas?

HSF embraces the metaverse with new digital law course for students — from legalcheek.com by Thomas Connelly

Excerpt:

The global law firm has launched a series of free workshops exploring how lawyers help clients navigate novel legal and regulatory issues relating to techy-topics including the metaverse, non-fungible tokens (NFTs), robotics and artificial intelligence (AI).

From DSC:
This kind of thing needs to happen in law schools across many countries.

AI/ML in EdTech: The Miracle, The Grind, and the Wall [Feldstein]

On 10/03/2022, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, bots, computer science, data related items, education technology, emerging technologies, ethics, future of higher education, higher education, morals/values, programming, society, by Daniel Christian

AI/ML in EdTech: The Miracle, The Grind, and the Wall — from eliterate.us by Michael Feldstein

Excerpt:

Essentially, I see three stages in working with artificial intelligence and machine learning (AI/ML). I call them the miracle, the grind, and the wall. These stages can have implications for both how we can get seduced by these technologies and how we can get bitten by them. The ethical implications are important.

Reflections on “5 Ways AI is Reshaping the Human Resources Industry” [intelligenthq.com]

On 09/30/2022, in Artificial Intelligence/Agents/LLMs/and Related, career development, corporate / business world, tools, training / L&D, United States, vendors, workplace, by Daniel Christian

5 Ways AI is Reshaping the Human Resources Industry — from intelligenthq.com

Excerpt:

Here are a few of the ways that HR professionals and departments are leveraging artificial intelligence to improve the hiring and employee management process.

From DSC:
I must admit that I was originally kind of excited to post this. And while I appreciate the ideas involving onboarding, completing forms, offering appropriate learning modules, and benefits administration…in looking more closely at this article, I have some serious concerns with:

Using AI to screen candidates — the Applicant Tracking Systems can miss a lot of things; algorithms and parameters can discriminate all too easily
Using AI to track employee behavior — seems controlling, not trusting one’s employees, and manipulative.

Employee tracking is also essential for managing remote employees.

From DSC:
B.S. If you hire talented individuals, don’t do this. This can easily backfire on you, making employees feel like second graders. Don’t do it. You don’t want that kind of employee anyway. This is a slippery slope to micromanaging and not honoring/trusting your employees to get their jobs done.

From DSC:
On a more positive note, this application of AI seems pretty sharp to me!

Do you know the name of the flowers you like? How about the name of the flowers or trees you walk by everyday on your commute to work, do you know their names? Well, now you can with the help of the plant identification apps below. I curated for you a collection of some of the best apps you and your students can use to identify plants, flowers, and trees by simply photographing them.

Categories

Tags