35 Ways Real People Are Using A.I. Right Now — from nytimes.com by Francesca Paris and Larry Buchanan

From DSC:
It was interesting to see how people are using AI these days. The article mentioned things from planning Gluten Free (GF) meals to planning gardens, workouts, and more. Faculty members, staff, students, researchers and educators in general may find Elicit, Scholarcy and Scite to be useful tools. I put in a question at Elicit and it looks interesting. I like their interface, which allows me to quickly resort things.
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Snapshot of a query result from a tool called Elicit


 

There Is No A.I. — from newyorker.com by Jaron Lanier
There are ways of controlling the new technology—but first we have to stop mythologizing it.

Excerpts:

If the new tech isn’t true artificial intelligence, then what is it? In my view, the most accurate way to understand what we are building today is as an innovative form of social collaboration.

The new programs mash up work done by human minds. What’s innovative is that the mashup process has become guided and constrained, so that the results are usable and often striking. This is a significant achievement and worth celebrating—but it can be thought of as illuminating previously hidden concordances between human creations, rather than as the invention of a new mind.

 


 

Resource per Steve Nouri on LinkedIn


 
 

On the plus side:


Automation & Higher Ed — from prawfsblawg.blogs.com by Orly Lobel

Excerpt (emphasis DSC):

I was delighted to see this thoughtful review of my new book The Equality Machine in Inside Higher Ed focused on some of the questions nearest and dearest to prawfs’ hearts: the future of the professor and higher education as AI becomes more and more part of our learning and teaching. In The Equality Machine, I have a chapter that considers robots and automation in education but does not delve into universities and higher ed. Here’s [an excerpt from] the review:

If the dream of creating high-quality/low-cost scaled online programs is ever to be realized, artificial intelligence—AI—will likely be the key enabling technology. The job of the AI in a scaled (high-enrollment) online course will be to optimally connect the instructor to the learner. The AI will determine when the human instructor should coach, encourage and engage with the learner—and when to hold back. The professor and the AI will collaborate to scale the relational model of learning that is the secret sauce of effective instructional practices.

Integrating faculty and AI to scale quality online learning is, to my knowledge, today more an idea than a reality. After reading The Equality Machine, however, I’m more hopeful than ever that this vision will come to fruition. While not focusing on higher education, the book provides enough examples of the transformative powers of digital technology to enhance human flourishing that some level of academic techno-optimism may be warranted.

 

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On the negative side:


A Roomba recorded a woman on the toilet. How did screenshots end up on Facebook? — from technologyreview.com
Robot vacuum companies say your images are safe, but a sprawling global supply chain for data from our devices creates risk.

We Haven’t Seen the Worst of Fake News — from theatlantic.com by Matteo Wong; behind paywall
Deepfakes still might be poised to corrupt the basic ways we process reality—or what’s left of it.

From DSC:
It seems to me one of the key potential values that journalism can provide us with is finding out and reporting on the truth. On curating items that are true.

The Spawn of ChatGPT Will Try to Sell You Things — from wired.com by Will Knight
Companies are exploring how to adapt powerful new chatbot technology to negotiate with customer service—and to persuade humans to buy stuff.

Excerpt:

ChatGPT, the recently viral and surprisingly articulate chatbot, has dazzled the internet with its ability to dutifully answer all sorts of knotty questions—albeit not always accurately. Some people are now trying to adapt the bot’s eloquence to play different roles. They hope to harness the AI like that behind ChatGPT to create programs that can persuade, cajole, and badger with super-human tenacity—in some cases to empower consumers but in others to win sales.

 

Police are rolling out new tech without knowing their effects on people — from The Algorithm by Melissa Heikkilä

Excerpt:

I got lucky—my encounter was with a drone in virtual reality as part of an experiment by a team from University College London and the London School of Economics. They’re studying how people react when meeting police drones, and whether they come away feeling more or less trusting of the police.

It seems obvious that encounters with police drones might not be pleasant. But police departments are adopting these sorts of technologies without even trying to find out.

“Nobody is even asking the question: Is this technology going to do more harm than good?” says Aziz Huq, a law professor at the University of Chicago, who is not involved in the research.

 

2023 Higher Education Trend Watch — from educause.edu

2023 Higher Education Trend Watch

Also see:

2023 Strategic Trends Glossary — from educause.edu

Excerpts:

  • Closer alignment of higher education with workforce needs and skills-based learning
  • Continuation and normalization of hybrid and online learning
  • Continued adoption and normalization of hybrid and remote work arrangements
  • Continued resignation and migration of leaders and staff from higher education institutions
  • Declining public funding for higher education
  • …and more
 

Radar Trends to Watch: September 2022 Developments in AI, Privacy, Biology, and More — from oreilly.com by Mike Loukides

Excerpt:

It’s hardly news to talk about the AI developments of the last month. DALL-E is increasingly popular, and being used in production. Google has built a robot that incorporates a large language model so that it can respond to verbal requests. And we’ve seen a plausible argument that natural language models can be made to reflect human values, without raising the question of consciousness or sentience.

For the first time in a long time we’re talking about the Internet of Things. We’ve got a lot of robots, and Chicago is attempting to make a “smart city” that doesn’t facilitate surveillance. We’re also seeing a lot in biology. Can we make a real neural network from cultured neurons? The big question for biologists is how long it will take for any of their research to make it out of the lab.

 

Test proctoring room scans violated college student’s privacy, judge rules — from highereddive.com by Natalie Schwartz

Excerpt from Dive Brief: 

  • Cleveland State University violated the Fourth Amendment’s protection against unreasonable government searches and seizures by scanning rooms via online proctoring software before students took exams, a federal judge ruled Monday.
 

10 cybersecurity best practices for your business — from bdo.com; with thanks to Mr. Michael Haan for this resource out on LinkedIn

Excerpt:

According to a study by N-able, managed service providers (MSPs) report that 82% of their customers have seen an increase in attempted cyberattacks since the pandemic. Even MSPs themselves are a target for cybercriminals, which can have wide-reaching impacts on their customers and network of resources if breached. As threats become more prevalent it’s imperative that organizations not only implement cybersecurity best practices, but that they work with strategic advisors who value the same practices.

The Cybersecurity & Infrastructure Security Agency released a report detailing how managed service providers and their customers should be protecting against cyber threats. Below you will find a summary of the report as well as BDO Digital’s recommendations for keeping your company safeguarded against threats.
Here are ten cybersecurity best practices that should be top of mind for your organization.

 

 

How will the Metaverse Influence Business and Legal Processes? — from jdsupra.com

Excerpt:

While some will be hesitant to use the metaverse and adoption is difficult to predict, it is not going away and will undoubtedly affect internal processes, business dealings, case strategy, and more. Organizations should start thinking about the possibilities now to be better prepared for future challenges. Below are some predictions on how the metaverse will influence operations, strategy, and investments across different areas of the enterprise.

Lawyers & the Metaverse — from joetechnologist.com by Elizabeth Beattie and Joseph Raczynski

Excerpt:

In a new Q&A interview, Thomson Reuters’ technologist and futurist Joseph Raczynski offers his insight about the Metaverse and how it will impact the legal industry.

I have likely spoken to thousands of lawyers over the last several years. They are extraordinarily bright, but with one limiting factor — their dedication to their craft. This means that they do not have the time to lift their heads to see what is coming. All these emerging technologies will impact their practices in some way, as well as the business of law. At a minimum, lawyers need the opportunity to focus on the big four: AI, blockchain, workflow, and the grab bag of general emerging technology. There are a multitude of places to learn about these things, but I would include some of the classics such as Google Alerts, Twitter threads on these topics, and magazines like Wired, which should be a staple for everyone.

These legal issues should be on college business officers’ radars — from highereddive.com by Rick Seltzer
A panel at the National Association of College and University Business Officers’ annual meeting covered legal questions spanning many offices on campus.

Let’s not presume that virtual hearings are the best solution in family law — from canadianlawyermag.com by John Silvester

Excerpts:

Proponents argue that virtual hearings are less expensive for clients, leading to enhanced access to justice for those who cannot afford to pay for their lawyers to travel to a courthouse and then sit and wait for hearings to commence. Sounds reasonable, right?

Not so fast.

Virtual hearings are advantageous in some scenarios, but there are at least three reasons why moving to an almost entirely virtual legal world may prove problematic.

LawNext Podcast: CALI Executive Director John Mayer on Using Tech to Advance Legal Education and Access to Justice — from lawnext.com by Bob Ambrogi and John Mayer

Excerpt:

In this episode of LawNext, Mayer joins host Bob Ambrogi to discuss the history and mission of CALI and to share his thoughts on the use of technology to enhance legal education. They also talk about how and why A2J Author was developed and how it is used by courts and legal services organizations to help those who are without legal representation. Mayer also shares his thoughts on the future of innovation in law and on the future of CALI.

Louisiana Approves Virtual Custody Services and Proposes Virtual Currency Business Licensing Rules — from natlawreview.com by Moorari Shah and A.J. S. Dhaliwal

Excerpt:

Recently, the Louisiana lawmakers and regulators have taken steps to legalize operations in the state involving virtual currencies. On June 15, the Louisiana governor signed a bill that, effective August 1, 2022, will allow financial institutions and trust companies to provide virtual currency custody services to their customers as long as they satisfy certain requirements on risk-management and compliance. On June 20, the Louisiana Office of Financial Institutions (OFI) published proposed rules on licensing and regulation of virtual currency businesses in the state pursuant to the Louisiana Virtual Currency Business Act, which went into effect on August 1, 2020.

 

China is about to regulate AI—and the world is watching — from wired.com by Jennifer Conrad
Sweeping rules will cover algorithms that set prices, control search results, recommend videos, and filter content.

Excerpt:

Some provisions aim to address complaints about online services. Under the rules, for instance, companies will be prohibited from using personal characteristics to offer users different prices for a product; they also will be required to notify users, and allow them to opt out, when algorithms are used to make recommendations.

Companies that violate the rules could face fines, be barred from enrolling new users, have their business licenses pulled, or see their websites or apps shut down.

Some elements of the new regulations may prove difficult or impossible to enforce. It can be technically challenging to police the behavior of an algorithm that is continually changing due to new input, for instance.

 

12 examples of artificial intelligence in everyday life — from itproportal.com by Christopher Oldman

Excerpt:

4. Plagiarism
The college students’ (or is it professor’s?) nightmare. Whether you are a content manager or a teacher grading essays, you have the same problem – the internet makes plagiarism easier.

There is a nigh unlimited amount of information and data out there, and less-than-scrupulous students and employees will readily take advantage of that.

Indeed, no human could compare and contrast somebody’s essay with all the data out there. AIs are a whole different beast.

They can sift through an insane amount of information, compare it with the relevant text, and see if there is a match or not.

Furthermore, thanks to advancement and growth in this area, some tools can actually check sources in foreign languages, as well as images and audio.

Intel calls its AI that detects student emotions a teaching tool. Others call it ‘morally reprehensible.’ — from protocol.com by Kate Kaye
Virtual school software startup Classroom Technologies will test the controversial “emotion AI” technology.

Excerpts:

But Intel and Classroom Technologies, which sells virtual school software called Class, think there might be a better way. The companies have partnered to integrate an AI-based technology developed by Intel with Class, which runs on top of Zoom. Intel claims its system can detect whether students are bored, distracted or confused by assessing their facial expressions and how they’re interacting with educational content.

But critics argue that it is not possible to accurately determine whether someone is feeling bored, confused, happy or sad based on their facial expressions or other external signals.

The classroom is just one arena where controversial “emotion AI” is finding its way into everyday tech products and generating investor interest. It’s also seeping into delivery and passenger vehicles and virtual sales and customer service software.

MIT’s FutureMakers programs help kids get their minds around — and hands on — AI — from news.mit.edu by Kim Patch
The programs are designed to foster an understanding of how artificial intelligence technologies work, including their social implications.

Excerpt:

During one-week, themed FutureMakers Workshops organized around key topics related to AI, students learn how AI technologies work, including social implications, then build something that uses AI.

“AI is shaping our behaviors, it’s shaping the way we think, it’s shaping the way we learn, and a lot of people aren’t even aware of that,” says Breazeal. “People now need to be AI literate given how AI is rapidly changing digital literacy and digital citizenship.”

AI can now kill those annoying cookie pop-ups — from thenextweb.com by Thomas Macaulay
The notifications have been put on notice

Excerpt:

After years of suffering this digital torture, a new AI tool has finally offered hope of an escape.

Named CookieEnforcer, the system was created by researchers from Google and the University of Wisconsin-Madison.

The system was created to stop cookies from manipulating people into making website-friendly choices that put their privacy at risk. Yet it could also end the constant hassle of navigating the notices.

Using machine learning to improve student success in higher education — from mckinsey.com
Deploying machine learning and advanced analytics thoughtfully and to their full potential may support improvements in student access, success, and the overall student experience.

Excerpt:

Yet higher education is still in the early stages of data capability building. With universities facing many challenges (such as financial pressures, the demographic cliff, and an uptick in student mental-health issues) and a variety of opportunities (including reaching adult learners and scaling online learning), expanding use of advanced analytics and machine learning may prove beneficial.

Below, we share some of the most promising use cases for advanced analytics in higher education to show how universities are capitalizing on those opportunities to overcome current challenges, both enabling access for many more students and improving the student experience.

Artificial intelligence (AI): 7 roles to prioritize now — from enterprisersproject.com by Marc Lewis
Which artificial intelligence (AI) jobs are hottest now? Consider these seven AI/ML roles to prioritize in your organization

Excerpt:

Rather than a Great Resignation, this would suggest a Great Reallocation of the workforce. As a global search consultant, we are seeing this precipitous shift in positions, with great demand for skills in artificial intelligence and machine learning (AI/ML).

With that in mind, here are seven artificial intelligence (AI)-related roles to consider prioritizing right now as the workforce reallocates talent to new jobs that drive economic value for leading companies…

4 ways AI will be a great teaching assistant — from thetechedvocate.org by Matthew Lynch

 

You Can Now Ask Google to Remove Personal Info From Searches — from lifewire.com by Rob Rich
But that won’t remove the information at its source

Excerpt:

Google is taking a more active role in stopping the spread of sensitive and personal information by allowing you to request its removal from searches.

The new policy applies to what Google refers to as personally identifiable information (PII), such as details that could be used for identity theft or more direct harm. Info like bank account or credit card numbers, medical records, personal contact details, social security numbers, and so on. Whether or not it acts on these requests is discretionary, however.

Also relevant/see:

 

Technology Trends for 2022 — from oreilly.com
What O’Reilly Learning Platform Usage Tells Us About Where the Industry Is Headed

Excerpt:

It’s been a year since our last report on the O’Reilly learning platform. Last year we cautioned against a “horse race” view of technology. That caution is worth remembering: focus on the horse race and the flashy news and you’ll miss the real stories. While new technologies may appear on the scene suddenly, the long, slow process of making things that work rarely attracts as much attention. We start with an explosion of fantastic achievements that seem like science fiction—imagine, GPT-3 can write stories!—but that burst of activity is followed by the process of putting that science fiction into production, of turning it into real products that work reliably, consistently, and fairly. AI is making that transition now; we can see it in our data. But what other transitions are in progress? What developments represent new ways of thinking, and what do those ways of thinking mean? What are the bigger changes shaping the future of software development and software architecture? This report is about those transitions.

O’Reilly Answers
We’re very excited about O’Reilly Answers, the newest product on the platform. Answers is an intelligent search that takes users directly to relevant content, whether that’s a paragraph from a book, a snippet of a video, or a block of code that answers a question. Rather than searching for an appropriate book or video and skimming through it, you can ask a specific question like “How do you flatten a list of lists in Python?” (a question I’ve asked several times). 


Also see:


 

Revisiting Camera Use in Live Remote Teaching: Considerations for Learning and Equity — from er.educause.edu by Patricia Turner

Excerpts:

Given the need to balance equity concerns with effective teaching practices, the following suggestions might be helpful in articulating an approach to using cameras in live remote teaching sessions. This list is not exhaustive; these suggestions are offered as a starting point from which to begin thinking about this issue.


Given what we know from research about interaction, active learning, equity, and inclusion, one possible philosophy is this: if we believe that some students are not using a camera because of privacy issues, because they lack a quiet space in which to learn, or because of inequitable circumstances, we can let our students know that we are available if they need help and that, although we can’t solve all problems, we may be able to help students get the support and resources they need.

 

The Hidden Role of Facial Recognition Tech in Many Arrests — from wired.com by Khari Johnson
The technology is spreading fast among police, and often wrong. But people charged with crimes are rarely told an algorithm came into play.

Excerpt:

Across most of the US, neither police nor prosecutors are required to disclose when facial recognition is used to identify a criminal suspect. Defense attorneys say that puts them at a disadvantage: They can’t challenge potential problems with facial recognition technology if they don’t know it was used. It also raises questions of equity, since studies have shown that facial recognition systems are more likely to misidentify people who are not white men, including people with dark skin, women, and young people.

 
© 2022 | Daniel Christian