Artificial Intelligence/Agents/LLMs/and Related

From DSC:
From my perspective, both of the items below are highly-related to each other:

Let’s Teach Computer Science Majors to Be Good Citizens. The Whole World Depends on It. — from edsurge.com by Anne-Marie Núñez, Matthew J. Mayhew, Musbah Shaheen and Laura S. Dahl

Excerpt:

Change may need to start earlier in the workforce development pipeline. Undergraduate education offers a key opportunity for recruiting students from historically underrepresented racial and ethnic, gender, and disability groups into computing. Yet even broadened participation in college computer science courses may not shift the tech workforce and block bias from seeping into tech tools if students aren’t taught that diversity and ethics are essential to their field of study and future careers.

Computer Science Majors Lack Citizenship Preparation
Unfortunately, those lessons seem to be missing from many computer science programs.

…and an excerpt from Why AI can’t really filter out “hate news” — with thanks to Sam DeBrule for this resource (emphasis DSC):

The incomprehensibility and unexplainability of huge algorithms
Michael Egnor: What terrifies me about artificial intelligence — and I don’t think one can overstate this danger — is that artificial intelligence has two properties that make it particularly deadly in human civilization. One is concealment. Even though every single purpose in artificial intelligence is human, it’s concealed. We don’t really understand it. We don’t understand Google’s algorithms.

There may even be a situation where Google doesn’t understand Google’s algorithms. But all of it comes from the people who run Google. So the concealment is very dangerous. We don’t know what these programs are doing to our culture. And it may be that no one knows, but they are doing things.

Note:Roman Yampolskiy has written about the incomprehensibility and unexplainability of AI: “Human beings are finite in our abilities. For example, our short term memory is about 7 units on average. In contrast, an AI can remember billions of items and AI capacity to do so is growing exponentially. While never infinite in a true mathematical sense, machine capabilities can be considered such in comparison with ours. This is true for memory, compute speed, and communication abilities.” So we have built-in bias and incomprehensibility at the same time.

From DSC:
That part about concealment reminds me that our society depends upon the state of the hearts of the tech leaders. We don’t like to admit that, but it’s true. The legal realm is too far behind to stop the Wild West of technological change. The legal realm is trying to catch up, but they’re coming onto the race track with no cars…just as pedestrians walking or running as fast as they can….all the while, the technological cars are whizzing by.

The net effect of all of this is that we are more dependent upon the ethics, morals, and care for their fellow humankind (or not) of the C-Suites out there (especially Facebook/Meta Platforms, Google, Microsoft, Amazon, Google, and Apple) than we care to admit. Are they producing products and services that aim to help our societies move forward, or are they just trying to make some more bucks? Who — or what — is being served?

The software engineers and software architects are involved here big time as well. “Just because we can doesn’t mean we should.” But that perspective is sometimes in short supply.

Timnit Gebru Says Artificial Intelligence Needs to Slow Down — from wired.com by Max Levy
The AI researcher, who left Google last year, says the incentives around AI research are all wrong.

Excerpt:

ARTIFICIAL INTELLIGENCE RESEARCHERS are facing a problem of accountability: How do you try to ensure decisions are responsible when the decision maker is not a responsible person, but rather an algorithm? Right now, only a handful of people and organizations have the power—and resources—to automate decision-making.
…
Since leaving Google, Gebru has been developing an independent research institute to show a new model for responsible and ethical AI research. The institute aims to answer similar questions as her Ethical AI team, without fraught incentives of private, federal, or academic research—and without ties to corporations or the Department of Defense.

“Our goal is not to make Google more money; it’s not to help the Defense Department figure out how to kill more people more efficiently,” she said.

From DSC:
What does our society need to do to respond to this exponential pace of technological change? And where is the legal realm here?

Speaking of the pace of change…the following quote from The Future Direction And Vision For AI (from marktechpost.com by Imtiaz Adam) speaks to massive changes in this decade as well:

The next generation will feature 5G alongside AI and will lead to a new generation of Tech superstars in addition to some of the existing ones.

In future the variety, volume and velocity of data is likely to substantially increase as we move to the era of 5G and devices at the Edge of the network. The author argues that our experience of development with AI and the arrival of 3G followed by 4G networks will be dramatically overshadowed with the arrival of AI meets 5G and the IoT leading to the rise of the AIoT where the Edge of the network will become key for product and service innovation and business growth.

Also related/see:

AI’s Smarts Now Come With a Big Price Tag — from wired.com by Will Knight
As language models get more complex, they also get more expensive to create and run. Some companies are locked out.

Supporting Student Accessibility: Digital Equity | Special Needs & More [Tech & Learning]

On 11/09/2021, in accessibility / UDL, Artificial Intelligence/Agents/LLMs/and Related, Bias | Diversity Equity & Inclusion (DE&I), bots, digital learning, digital textbooks, distance education, e-books, e-publishing related items (EPUB and more), e-readers, education, education technology, ethics, experimentation, face-to-face, funding / grants, ideas, innovation, instructional design, K-12 related, languages and translation, learning, learning ecosystem, Learning from the Living [Class] Room, neurodivergent/special needs, remote teaching and learning, student-related, teachers, teaching & learning, teaching online, United States, vendors, by Daniel Christian

Supporting Student Accessibility: Digital Equity | Special Needs & More — from Tech & Learning | November 2021

Radar trends to watch: November 2021 — from oreilly.com by Mike Loukides
Developments in AI, Security, Quantum Computing, and More

Americans Need a Bill of Rights for an AI-Powered World — from wired.com by Eric Lander & Alondra Nelson
The White House Office of Science and Technology Policy is developing principles to guard against powerful technologies—with input from the public.

Excerpt (emphasis DSC):

Soon after ratifying our Constitution, Americans adopted a Bill of Rights to guard against the powerful government we had just created—enumerating guarantees such as freedom of expression and assembly, rights to due process and fair trials, and protection against unreasonable search and seizure. Throughout our history we have had to reinterpret, reaffirm, and periodically expand these rights. In the 21st century, we need a “bill of rights” to guard against the powerful technologies we have created.

Our country should clarify the rights and freedoms we expect data-driven technologies to respect. What exactly those are will require discussion, but here are some possibilities: your right to know when and how AI is influencing a decision that affects your civil rights and civil liberties; your freedom from being subjected to AI that hasn’t been carefully audited to ensure that it’s accurate, unbiased, and has been trained on sufficiently representative data sets; your freedom from pervasive or discriminatory surveillance and monitoring in your home, community, and workplace; and your right to meaningful recourse if the use of an algorithm harms you.

In the coming months, the White House Office of Science and Technology Policy (which we lead) will be developing such a bill of rights, working with partners and experts across the federal government, in academia, civil society, the private sector, and communities all over the country.

Technology can only work for everyone if everyone is included, so we want to hear from and engage with everyone. You can email us directly at ai-equity@ostp.eop.gov.

jobtensor.com/uk <-- an AI job board

On 10/18/2021, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, career development, Daniel S. Christian, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, platforms, productivity / tips and tricks, professional development, UK, workplace, by Daniel Christian

jobtensor.com/uk <– an AI job board from the UK — with thanks to Dr. Jakob Sidoruk for this resource.

From DSC:
Jakob mentioned that Jobtensor has built a tool for jobs in tech, science and engineering and that the goal of this tool is to make job searches more fun and efficient for job seekers. I’m glad to see this from the other side of the table. That is, there have been plenty Applicant Tracking Systems (ATSs) out there that have essentially weeded people out time and again — while making many job searches long, expensive, and emotionally draining.

From DSC:
It is exactly this kind of tool that could — and should — be integrated into a next-generation learning platform. Have an AI-enabled system of identifying the most current needs out in the workplace. Provide a mechanism/listing of those needs along with the existing courses, streams of content, podcasts, and more that could help someone learn those skills.

Learning from the living class room

streams of content are ever flowing by -- we need to tap into them and contribute to them

Higher Education Needs to Move Toward Mass-Personalization [Fourtané]

On 10/15/2021, in 21st century, 24x7x365 access, adult learning, Alternatives, analytics, Artificial Intelligence/Agents/LLMs/and Related, change, cloud-based computing / apps / other cloud-related, CMS/LMS, colleges, community colleges, curriculum, data related items, emerging technologies, future, future of higher education, game-changing environment, higher education, innovation, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, lifelong learning, love of learning, more voice more choice more control, online learning, personalized/customized learning, United States, universities, vendors, vision/possibilities, by Daniel Christian

Higher Education Needs to Move Toward Mass-Personalization — from fierceeducation.com by Susan Fourtané

Excerpt:

Every industry, from health sciences to marketing to manufacturing, is using Artificial Intelligence (AI) to facilitate the delivery of mass-personalization, yet education has been slow in its adoption. These smart systems create personalized solutions targeted to meet the unique needs of every individual.

Artificial Intelligence-based technologies have the potential of serving as tools for educators to provide personalized learning. However, for mass-personalization to work, institutions first need to align their leadership. In his feature session What Is It Going to Take to Move from Mass-Production to Mass-Personalization?, during the recent Online Learning Consortium virtual event, Dale Johnson, Director of Digital Innovation at Arizona State University, addressed the issue of mass personalization in higher education.

Johnson reinforced the idea that with mass-personalization professors can deliver the right lesson to the right student at the right time.
…
Mass-personalization software does not replace the professor. It makes the professor better, more focused on the students.

Legal Technology: Why the Legal Tech Boom is Just Getting Started — from nasdaq.com by Casey Flaherty and Jae Um of LexFusion; with thanks to Gabe Teninbaum for this resource via his Lawtomatic Newsletter, Issue #136

Excerpt:

In quick succession, legal technology finally saw its first IPOs:

LegalZoom (LZ; June 30, 2021)
Intapp (INTA; June 30, 2021)
CS Disco (LAW; July 21, 2021)

With private money pouring into legal tech startups and based on our own conversations inside the industry, we at LexFusion expect more IPOs on the horizon. Thus, a primer on legal tech as a category to watch. This Part I summarizes the legal market fundamentals driving unprecedented investment in enabling tech—much of which extends beyond the boundaries implied by “legal” as a descriptor.

A pivot point appears to be upon us. Considered unthinkable a decade ago, US states and Canadian provinces—following similar reforms in the UK and Australia that have resulted in the first publicly traded law firms—are rapidly creating regulatory sandboxes to expand current rules limiting (a) who can provide legal services and (b) who can own those businesses.

From DSC:
One can see why #AI will become key. “…the projected CAGR for global data volumes is 26%—to pt where ‘the amount of data created over the next three years will be more than the data created over the past 30 years.’ This data explosion complicates even standard legal matters.”

Gabe also mentioned the following Tweet, which is relevant for this posting:

10 trends for legal technology in the 20’s according to @richardsusskind #BLTF2021 pic.twitter.com/a7MpqE8wYA

— Laura Fauqueur ?? (@laurafauq) October 12, 2021

What if you were the lawyer that these folks came to for help? [Christian]

On 10/11/2021, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, ideas, law schools, leadership, legal reform, legal technologies, legislatures / government / legal, pace of change, policy, society, UK, United States, by Daniel Christian

From DSC:
What if you were working in the law office that these folks came into for help, representation, and counsel…what would you do?

Ex-Uber driver takes legal action over ‘racist’ face-recognition software — from theguardian.com by Robert Booth
UK driver alleges his account was illegally deactivated when Uber software decided he was not who he said he was

Or if someone “stole” your voice for a bit:

AI-generated deepfake voices can fool both humans and smart assistants — from newscientist.com by Chris Stokel-Walker

You can see the critical role that the American Bar Association plays in helping our nation deal with these kinds of things. They are the pace-setters on the [legal] track.

AI+ alumni + real-world practitioners + accreditation agencies = outcomes for next year [Christian]

On 10/06/2021, in 21st century, 24x7x365 access, accreditation, adjunct faculty, adult learning, analytics, Artificial Intelligence/Agents/LLMs/and Related, assessment, Canvas - and other Instructure-related items, career development, cloud-based computing / apps / other cloud-related, CMS/LMS, collaboration, colleges, communications, communities of practice, community colleges, competency-based learning/education, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, credentialing, curriculum, Daniel S. Christian, data related items, emerging technologies, entrepreneurship, experimentation, faculty/staff, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, law schools, leadership, learning, learning ecosystem, Learning from the Living [Class] Room, Legal operations, legislatures / government / legal, lifelong learning, Michigan, new business models, online learning, platforms, professional development, reinvent, society, surviving, technologies for your home, tools, training / L&D, TVs, United States, universities, vision/possibilities, vocational / trades, by Daniel Christian

AI+ alumni + real-world practitioners + accreditation agencies = outcomes for next year -- by Daniel S. Christian

Learning from the living class room

Discovery Education Collaborates with AWS to Enhance Recommendation Engine — from discoveryeducation.com

Excerpt:

SILVER SPRING, MD [On Monday,?September 27, 2021] — Discovery Education—a worldwide edtech leader supporting learning wherever it takes place — announced that it has enhanced its K-12 learning platform with Amazon Web Services (AWS) machine learning capabilities. The pioneering use of machine learning within the Discovery Education platform helps educators spend less time searching for digital resources and more time teaching.
…
Several months of planning and deep collaboration with AWS enabled Discovery Education to innovatively integrate Amazon Personalize technology into the “Just For You” area of its K-12 platform. The “Just For You” row connects educators to a unique, personalized set of resources based on the grade level taught, preferences, and assets used in the past.

“For some time, educators have desired more resources to help personalize teaching and learning. ML technology is already being used to curate our entertainment experiences, help with workforce productivity, and more, and it’s exciting to see this innovation is being integrated into classrooms,” said Alec Chalmers, Director, EdTech and GovTech Markets at AWS.

From DSC:
It looks like Amazon continues to make inroads into the education space. Team up this type of recommendation engine with an AI that’s pulling the latest skills that are needed for — and embedded within — job descriptions and you have a learning powerhouse.

Disruption ahead…?

Also see:

How Machine Learning Is Having an Impact on Education — from techlearning.com by Erik Ofgang
Discovery Education has partnered with Amazon Web Services to enhance its platform with machine learning. It’s one of many ways machine learning is being used in K-12 today.

Artificial Intelligence: Should You Teach It To Your Employees?— from forbes.com by Tom Taulli

Excerpt:

“If more people are AI literate and can start to participate and contribute to the process, more problems–both big and small–across the organization can be tackled,” said David Sweenor, who is the Senior Director of Product Marketing at Alteryx. “We call this the ‘Democratization of AI and Analytics.’ A team of 100, 1,000, or 5,000 working on different problems in their areas of expertise certainly will have a bigger impact than if left in the hands of a few.”

New Artificial Intelligence Tool Accelerates Discovery of Truly New Materials — from scitechdaily.com
The new artificial intelligence tool has already led to the discovery of four new materials.

Excerpt:

Researchers at the University of Liverpool have created a collaborative artificial intelligence tool that reduces the time and effort required to discover truly new materials.

AI development must be guided by ethics, human wellbeing and responsible innovation — from healthcareitnews.com by Bill Siwicki
An expert in emerging technology from the IEEE Standards Association describes the elements that must be considered as artificial intelligence proliferates across healthcare.

Reflections on “How tech will change the way we work by 2030” [Lamb]

On 09/20/2021, in 21st century, analytics, Artificial Intelligence/Agents/LLMs/and Related, Blockchain, business, career development, change, corporate / business world, Daniel S. Christian, data related items, future, technology (general), trends, United States, vision/possibilities, workplace, by Daniel Christian

How tech will change the way we work by 2030 — from techradar.com by Rob Lamb
Everyday jobs will be augmented by technology

Technologies like Artificial Intelligence (AI), Machine Learning (ML) and Blockchain will have a significant impact on work in the next decade and beyond. But if you believe the sci-fi hype or get bogged down in the technology, it can be difficult to relate them to today’s workplaces and jobs.

Excerpt:

Here are three everyday examples of their potential, expressed in terms of the business challenge they are addressing or how consumers will experience them. I don’t mean to over simplify – these are powerful tools – but I think their potential shines through best when they’re expressed in their simplest terms.

From DSC:
I have an issue with one of their examples that involves positioning AI as the savior of the hiring process:

The problem with this process isn’t just that it’s hugely time-consuming, it’s that all kinds of unconscious biases can creep in, potentially even into the job advert. These issues can be eradicated with the use of AI, which can vet ads for gendered language, sort through applicants and pick out the most suitable ones in a fraction of the time it would take an HR professional or any other human being.

AI can be biased as well — just like humans. Lamb recognizes this as well when he states that “Provided the algorithms are written correctly, AI will be key to organisations addressing issues around diversity and inclusion in the workplace.” But that’s a big IF in my mind. So far, it appears that the track record isn’t great in this area. Also, as Cathy O’Neil asserts: “Algorithms are opinions embedded in code.”

AI may not be as adept as a skilled HR professional in seeing the possibilities for someone. Can person A’s existing skillsets be leveraged in this new/other position?

Justice, equity, & fairness: Exploring the tense relationship between AI & the law with Joilson Melo [Brown]

On 09/20/2021, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, Bias | Diversity Equity & Inclusion (DE&I), law schools, legal reform, legislatures / government / legal, policy, society, the downsides of how people use tech, by Daniel Christian

Justice, Equity, And Fairness: Exploring The Tense Relationship Between Artificial Intelligence And The Law With Joilson Melo — from forbes.com by Annie Brown

Excerpt:

The law and legal practitioners stand to gain a lot from a proper adoption of AI into the legal system. Legal research is one area that AI has already begun to help out with. AI can streamline the thousands of results an internet or directory search would otherwise provide, offering a smaller digestible handful of relevant authorities for legal research. This is already proving helpful and with more targeted machine learning it would only get better.

The possible benefits go on; automated drafts of documents and contracts, document review, and contract analysis are some of those considered imminent.

Many have even considered the possibilities of AI in helping with more administrative functions like the appointment of officers and staff, administration of staff, and making the citizens aware of their legal rights.

A future without AI seems bleak and laborious for most industries including the legal and while we must march on, we must be cautious about our strategies for adoption. This point is better put in the words of Joilson Melo; “The possibilities are endless, but the burden of care is very heavy[…]we must act and evolve with [caution].”

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