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:


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.

 

Meet The Secretive Surveillance Wizards Helping The FBI And ICE Wiretap Facebook And Google Users — from forbes.com by Thomas Brewster
A small Nebraska company is helping law enforcement around the world spy on users of Google, Facebook and other tech giants. A secretly recorded presentation to police reveals how deeply embedded in the U.S. surveillance machine PenLink has become.

Excerpts:

PenLink might be the most pervasive wiretapper you’ve never heard of.

With $20 million revenue every year from U.S. government customers such as the Drug Enforcement Administration, the FBI, Immigration Customs Enforcement (ICE) and almost every other law enforcement agency in the federal directory, PenLink enjoys a steady stream of income. That doesn’t include its sales to local and state police, where it also does significant business but for which there are no available revenue figures. Forbes viewed contracts across the U.S., including towns and cities in California, Florida, Illinois, Hawaii, North Carolina and Nevada.

 

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:

On March 1, China will outlaw this kind of algorithmic discrimination as part of what may be the world’s most ambitious effort to regulate artificial intelligence. Under the rules, companies will be prohibited from using personal information to offer users different prices for a product or service.

The sweeping rules cover algorithms that set prices, control search results, recommend videos, and filter content. They will impose new curbs on major ride-hailing, ecommerce, streaming, and social media companies.

 

Technology We Need: Documenting the complete Learner Record — from gettingsmart.com by Nate McClennen and Rebecca Midles

Key Points

  • Most innovative schools and a number of states have built Graduate Profiles/Learner Profiles and a handful have created K12 competency progressions that articulate pathways towards meeting the profile.
  • These learning organizations are using a learning management system (LMS) that does not accommodate comprehensive Learner Records, does not capture or report transparent growth to learners or their families and does not capture out-of-course learning experiences.
  • We issue a challenge to those building and creating solutions.

From DSC:
The above posting reminds me of the following graphic:


 

The DOJ’s $3.6B Bitcoin Seizure Shows How Hard It Is to Launder Crypto — from wired.com by Andy Greenberg
A couple allegedly used a “laundry list” of technical measures to cover their tracks. They didn’t work.

Excerpt:

“What was amazing about this case is the laundry list of obfuscation techniques [Lichtenstein and Morgan allegedly] used,” says Ari Redbord, the head of legal and government affairs for TRM Labs, a cryptocurrency tracing and forensics firm. Redbord points to the couple’s alleged use of “chain-hopping”— transferring funds from one cryptocurrency to another to make them more difficult to follow—including exchanging bitcoins for “privacy coins” like monero and dash, both designed to foil blockchain analysis. Court documents say the couple also allegedly moved their money through the Alphabay dark web market—the biggest of its kind at the time—in an attempt to stymie detectives.

From DSC:
Easy to follow/understand, isn’t it!?! Not.

 

 

Both of the items below are from Sam DeBrule’s Machine Learnings e-newsletter:


Also see:

 

Feds’ spending on facial recognition tech expands, despite privacy concerns — from by Tonya Riley

Excerpt:

The FBI on Dec. 30 signed a deal with Clearview AI for an $18,000 subscription license to the company’s facial recognition technology. While the value of the contract might seem just a drop in the bucket for the agency’s nearly $10 billion budget, the contract was significant in that it cemented the agency’s relationship with the controversial firm. The FBI previously acknowledged using Clearview AI to the Government Accountability Office but did not specify if it had a contract with the company.

From DSC:
What?!? Isn’t this yet another foot in the door for Clearview AI and the like? Is this the kind of world that we want to create for our kids?! Will our kids have any privacy whatsoever? I feel so powerless to effect change here. This technology, like other techs, will have a life of its own. Don’t think it will stop at finding criminals. 

AI being used in the hit series called Person of Interest

This is a snapshot from the series entitled, “Person of Interest.
Will this show prove to be right on the mark?

Addendum on 1/18/22:
As an example, check out this article:

Tencent is set to ramp up facial recognition on Chinese children who log into its gaming platform. The increased surveillance comes as the tech giant caps how long kids spend gaming on its platform. In August 2021, China imposed strict limits on how much time children could spend gaming online.

 

From DSC:
When I ran across the items below, I couldn’t help but wonder…”What does the legal realm need to know here?”

The Ultimate List Of Crypto Lending Platforms — from 101blockchains.com by Diego Geroni

The Ultimate List Of Crypto Lending Platforms

Know The Vulnerabilities And Security Concerns Associated With NFT — from 101blockchains.com by Diego Geroni

Know The Vulnerabilities And Security Concerns Associated With NFT

Radar trends to watch: December 2021 — from oreilly.com by Mike Loukides
Developments in Programming, Quantum Computing, Cryptocurrency, and More

Radar trends to watch: December 2021

NFT sales reached $27 billion this year — from protocol.com by Nat Rubio-Licht
OpenSea dominated the business.

UNISWAP – Know Everything About The Largest Decentralized Exchange (DEX) — from 101blockchains.com by Diego Geroni

UNISWAP – Know Everything About The Largest Decentralized Exchange (DEX)

 

From DSC:
The items below are from Sam DeBrule’s Machine Learnings e-Newsletter.


By clicking this image, you will go to Sam DeBrule's Machine Learning e-Newsletter -- which deals with all topics regarding Artificial Intelligence

#Awesome

“Sonoma County is adding artificial intelligence to its wildfire-fighting arsenal. The county has entered into an agreement with the South Korean firm Alchera to outfit its network of fire-spotting cameras with software that detects wildfire activity and then alerts authorities. The technology sifts through past and current images of terrain and searches for certain changes, such as flames burning in darkness, or a smoky haze obscuring a tree-lined hillside, according to Chris Godley, the county’s director of emergency management…The software will use feedback from humans to refine its algorithm and will eventually be able to detect fires on its own — or at least that’s what county officials hope.” – Alex Wigglesworth Learn More from Los Angeles Times >

#Not Awesome

Hacked Surveillance Camera Firm Shows Staggering Scale of Facial Recognition — from
A hacked customer list shows that facial recognition company Verkada is deployed in tens of thousands of schools, bars, stores, jails, and other businesses around the country.

Excerpt:

Hackers have broken into Verkada, a popular surveillance and facial recognition camera company, and managed to access live feeds of thousands of cameras across the world, as well as siphon a Verkada customer list. The breach shows the astonishing reach of facial recognition-enabled cameras in ordinary workplaces, bars, parking lots, schools, stores, and more.

The staggering list includes K-12 schools, seemingly private residences marked as “condos,” shopping malls, credit unions, multiple universities across America and Canada, pharmaceutical companies, marketing agencies, pubs and bars, breweries, a Salvation Army center, churches, the Professional Golfers Association, museums, a newspaper’s office, airports, and more.

 
© 2022 | Daniel Christian