From DSC:
I’ll say it again, just because we can, doesn’t mean we should.

From the article below…we can see another unintended consequence is developing on society’s landscapes. I really wish the 20 and 30 somethings that are being hired by the big tech companies — especially at Amazon, Facebook, Google, Apple, and Microsoft — who are developing these things would ask themselves:

  • “Just because we can develop this system/software/application/etc., SHOULD we be developing it?”
  • What might the negative consequences be? 
  • Do the positive contributions outweigh the negative impacts…or not?

To colleges professors and teachers:
Please pass these thoughts onto your students now, so that this internal questioning/conversations begin to take place in K-16.


Report: Colleges Must Teach ‘Algorithm Literacy’ to Help Students Navigate Internet — from edsurge.com by Rebecca Koenig

Excerpt (emphasis DSC):

If the Ancient Mariner were sailing on the internet’s open seas, he might conclude there’s information everywhere, but nary a drop to drink.

That’s how many college students feel, anyway. A new report published this week about undergraduates’ impressions of internet algorithms reveals students are skeptical of and unnerved by tools that track their digital travels and serve them personalized content like advertisements and social media posts.

And some students feel like they’ve largely been left to navigate the internet’s murky waters alone, without adequate guidance from teachers and professors.

Researchers set out to learn “how aware students are about their information being manipulated, gathered and interacted with,” said Alison Head, founder and director of Project Information Literacy, in an interview with EdSurge. “Where does that awareness drop off?”

They found that many students not only have personal concerns about how algorithms compromise their own data privacy but also recognize the broader, possibly negative implications of tools that segment and customize search results and news feeds.

 

From DSC:
Very disturbing that citizens had no say in this. Legislators, senators, representatives, lawyers, law schools, politicians, engineers, programmers, professors, teachers, and more…please reflect upon our current situation here. How can we help create the kind of future that we can hand down to our kids and rest well at night…knowing we did all that we could to provide a dream — and not a nightmare — for them?


The Secretive Company That Might End Privacy as We Know It — from nytimes.com by Kashmir Hill
A little-known start-up helps law enforcement match photos of unknown people to their online images — and “might lead to a dystopian future or something,” a backer says.

His tiny company, Clearview AI, devised a groundbreaking facial recognition app. You take a picture of a person, upload it and get to see public photos of that person, along with links to where those photos appeared. The system — whose backbone is a database of more than three billion images that Clearview claims to have scraped from Facebook, YouTube, Venmo and millions of other websites — goes far beyond anything ever constructed by the United States government or Silicon Valley giants.

 

Excerpts:

“But without public scrutiny, more than 600 law enforcement agencies have started using Clearview in the past year…”

Clearview’s app carries extra risks because law enforcement agencies are uploading sensitive photos to the servers of a company whose ability to protect its data is untested.

 

The Future of Lawyers: Legal Tech, AI, Big Data And Online Courts — from forbes.com by Bernard Marr

Excerpts:

In his brand new book Online Courts and the Future of Justice, Richard argues that technology is going to bring about a fascinating decade of change in the legal sector and transform our court system. Although automating our old ways of working plays a part in this, even more, critical is that artificial intelligence and technology will help give more individuals access to justice.

The first generation is the idea that people who use the court system submit evidence and arguments to the judge online or through some form of electronic communication.

The second generation of using technology to transform the legal system would be what Richard calls “outcome thinking” to use technology to help solve disputes without requiring lawyers or the traditional court system.

Some of the biggest obstacles to an online court system are the political will to bring about such a transformation, the support of judges and lawyers, funding, as well as the method we’d apply. For example, decisions will need to be made whether the online system would be used for only certain cases or situations.

Ultimately, we have a grave access-to-justice problem. Technology can help improve our outcomes and give people a way to resolve public disputes in ways that previously weren’t possible. While this transformation might not solve all the struggles with the legal system or the access-to-justice issue, it can offer a dramatic improvement.

 

Excerpts:

We see the AI space poised for an acceleration in adoption, driven by more sophisticated AI models being put in production, specialized hardware that increases AI’s capacity to provide quicker results based on larger datasets, simplified tools that democratize access to the entire AI stack, small tools that enables AI on nearly any device, and cloud access to AI tools that allow access to AI resources from anywhere.

To fully take advantage of AI technologies, you’ll need to retrain your entire organization.

 

CES 2020: Finding reality in a deluge of utopia — from web-strategist.com by Jeremiah Owyang

Excerpts:

One of my strategies is to look past the products that were announced, and instead find the new technologies that will shed light on which products will emerge such as sensors and data types.

The trick to approaching CES: Look for what creates the data, then analyze how it will be used, therein lies the power/leverage/business model of the future.

Sharp’s augmented windows give us an interesting glimpse of what retail could look like if every window was a transparent screen…

Rivian, the new electric truck company, which is funded by both Ford and Amazon was featured at the Amazon booth, with a large crowd, each wheel has an independent motor and it’s Alexa integrated – watch out Cybertruck.

Caution: “Data leakage” (where your data ends up in places you didn’t expect) is frightening, and people will start to care. The amount of devices present, that offer data collection to unknown companies in unknown countries is truly astounding. Both from a personal, business, and national security perspective, consumers and businesses alike really don’t know the ramifications of all of this data sharing.

Also see:

 

DC: Precursor to a next gen learning platform…? Another piece is falling into place.

 

How AI is disrupting the legal tech industry — from itproportal.com by Derek Chau
Law firms will benefit from a growing ability to deliver high-value, strategic services while leveraging the ability of AI to execute lower value tasks.

Excerpt:

As increasingly complex AI solutions emerge, the technology continues to capture imaginations across the legal community. AI has become a catalyst for change within the legal ecosystem. And as platforms become more sophisticated, companies have begun to tap into ever-expanding automation and scalability.

Potential impacts/applications include:

  • Legal research (due diligence)
  • Predicting legal outcomes
  • Contract management
  • Intellectual property law

This reality is driven by the democratisation of legal services as a result of AI integrations. The movement is poised to lower the costs associated with corporate transactions, legal research, IP transactions, and related services. As such, law firms will benefit from a growing ability to deliver high-value, strategic services while leveraging the ability of AI to execute lower value tasks.

 

Legal Tech’s Predictions for Artificial Intelligence in 2020 — from law.com by Zach Warren
We may not have robot lawyers, but lawyers and technologists agree that artificial intelligence will have a major impact on the legal profession in 2020.

Excerpts:

Alex Babin, CEO, Zero: “The biggest gains from automating legal practices will be time saved and improved workflow efficiencies as the AI ‘takes over’ more laborious tasks including litigation support, email, e-discovery, and the use of databases for case management. Lawyers will begin to trust in this process, letting AI perform these basic tasks such as auto-filing document and email for compliance. AI will enhance corporate and regulatory reporting and improves contract creation and management.”

Scott Forman, shareholder, Littler Mendelson and founder of Littler CaseSmart and Littler onDemand: “Data analytics and AI have already fundamentally changed the delivery of legal services, but I expect 2020 to bring a greater understanding of how these technologies enhance, rather than overtake, the work of lawyers. While robots and technology will never replace lawyers, they provide data and insight enabling lawyers to do their jobs faster and better. This includes automating aspects of the legal process—so that lawyers can focus on top-of-the-pyramid work—as well as synthesizing and serving up information that guides litigation strategy, identifies potential areas of risk and moves toward predicting legal outcomes.”

 

 

From pizza to transplant organs: What drones will be delivering in the 2020s — from digitaltrends.com by Luke Dormehl

Excerpt:

From drone racing to drone photography, quadcopters and other unmanned aerial vehicles rose to prominence in the 2010s. But in the decade to come they’re going to become an even bigger thing in the next 10 years. Case in point: Deliveries by drone.

Who should you be watching in this space?


From DSC:

While I appreciate Luke’s reporting on this, I am very much against darkening the skies with noisy machines. Again, we adults need to be very careful of the world that we are developing for our kids! If items could be delivered via a system of underground pipes, that would be a different, quieter, not visible, more agreeable approach for me.

Just because we can…

 

Indian police are using facial recognition to identify protesters in Delhi — from fastcompany.com by Kristin Toussaint

Excerpt:

At Modi’s rally on December 22, Delhi police used Automated Facial Recognition System (AFRS) software—which officials there acquired in 2018 as a tool to find and identify missing children—to screen the crowd for faces that match a database of people who have attended other protests around the city, and who officials said could be disruptive.

According to the Indian Express, Delhi police have long filmed these protest events, and the department announced Monday that officials fed that footage through AFRS. Sources told the Indian news outlet that once “identifiable faces” are extracted from that footage, a dataset will point out and retain “habitual protesters” and “rowdy elements.” That dataset was put to use at Modi’s rally to keep away “miscreants who could raise slogans or banners.”

 

From DSC:
Here in the United States…are we paying attention to today’s emerging technologies and collaboratively working to create a future dream — versus a future nightmare!?!  A vendor or organization might propose a beneficial reason to use their product or technology — and it might even meet the hype at times…but then comes along other unintended uses and consequences of that technology. For example, in the article above, what started out as a technology that was supposed to be used to find/identify missing children (a benefit) was later used to identify protesters (an unintended consequence, and a nightmare in terms of such an expanded scope of use I might add)!

Along these lines, the youth of today have every right to voice their opinions and to have a role in developing or torpedoing emerging techs. What we build and put into place now will impact their lives bigtime!

 

AI arms race — insidehighered.com by Lilah Burke
More employers are using applicant tracking systems to hire employees. Some colleges are using new AI-based tools, like VMock, to help students keep up.

Excerpt:

When college students need help with their résumés, some now will be turning to algorithms rather than advisers.

In the last decade, a growing number of large companies have started hiring using applicant tracking systems, AI-based platforms that scan résumés for keywords and rank job candidates.

Similarly, video interviewing platforms that use algorithms to evaluate a candidate’s voice, gestures and emotions have become ubiquitous in some industries. HireVue, the most well-known of these platforms, has drawn accusations of being pseudoscientific and potentially exacerbating bias in hiring.

The frustration many job candidates voice when coming up against these platforms is that they have no way of knowing what they could have done better. The systems give no feedback to candidates.

So what if students, job seekers and career advisers could use the AI for themselves?

Boston University, in a document of VMock tips for students, also advised graphic design or other creative industry students to have two versions of their résumé, one with a conventional layout.

From DSC:
Per my nephew, who works in a recruiting type of position within HR for a Fortune 500 organization:

  • Without a doubt HR recruiting is using AI to help in the selection process.
  • Many companies use keyword scanners, but not everyone [and, in fact, his company did not].
  • HireVue is very important to use when it comes to understanding a person’s presentation skills since a lot of presenting is done via Skype/live video these days. So HireVue is not going away anytime soon. I think it’s a great system/product.
  • At the end of the day, a good recruiter will identify the best talent that has applied to a position. I think it’s important for students to really think about what position they’re applying for and be realistic with their applications. I think that’s where a lot of frustration happens with students that apply to positions and never get to the first round interview. They apply to 20-50 positions that don’t reflect their experience at all…so that’s where coaching and personal advisement is important
 

7 Artificial Intelligence Trends to Watch in 2020 — from interestingengineering.com by Christopher McFadden

Excerpts:

Per this article, the following trends were listed:

  1. Computer Graphics will greatly benefit from AI
  2. Deepfakes will only get better, er, worse
  3. Predictive text should get better and better
  4. Ethics will become more important as time goes by
  5. Quantum computing will supercharge AI
  6. Facial recognition will appear in more places
  7. AI will help in the optimization of production pipelines

Also, this article listed several more trends:

According to sources like The Next Web, some of the main AI trends for 2020 include:

  • The use of AI to make healthcare more accurate and less costly
  • Greater attention paid to explainability and trust
  • AI becoming less data-hungry
  • Improved accuracy and efficiency of neural networks
  • Automated AI development
  • Expanded use of AI in manufacturing
  • Geopolitical implications for the uses of AI

Artificial Intelligence offers great potential and great risks for humans in the future. While still in its infancy, it is already being employed in some interesting ways.

According to sources like Forbes, some of the next “big things” in technology include, but are not limited to:

  • Blockchain
  • Blockchain As A Service
  • AI-Led Automation
  • Machine Learning
  • Enterprise Content Management
  • AI For The Back Office
  • Quantum Computing AI Applications
  • Mainstreamed IoT

Also see:

Artificial intelligence predictions for 2020: 16 experts have their say — from verdict.co.uk by Ellen Daniel

Excerpts:

  • Organisations will build in processes and policies to prevent and address potential biases in AI
  • Deepfakes will become a serious threat to corporations
  • Candidate (and employee) care in the world of artificial intelligence
  • AI will augment humans, not replace them
  • Greater demand for AI understanding
  • Ramp up in autonomous vehicles
  • To fully take advantage of AI technologies, you’ll need to retrain your entire organisation
  • Voice technologies will infiltrate the office
  • IT will run itself while data acquires its own DNA
  • The ethics of AI
  • Health data and AI
  • AI to become an intrinsic part of robotic process automation (RPA)
  • BERT will open up a whole new world of deep learning use cases

The hottest trend in the industry right now is in Natural Language Processing (NLP). Over the past year, a new method called BERT (Bidirectional Encoder Representations from Transformers) has been developed for designing neural networks that work with text. Now, we suddenly have models that will understand the semantic meaning of what’s in text, going beyond the basics. This creates a lot more opportunity for deep learning to be used more widely.

 

 

Don’t trust AI until we build systems that earn trust — from economist.com
Progress in artificial intelligence belies a lack of transparency that is vital for its adoption, says Gary Marcus, coauthor of “Rebooting AI”

Excerpts:

Mr Marcus argues that it would be foolish of society to put too much stock in today’s AI techniques since they are so prone to failures and lack the transparency that researchers need to understand how algorithms reached their conclusions.

As part of The Economist’s Open Future initiative, we asked Mr Marcus about why AI can’t do more, how to regulate it and what teenagers should study to remain relevant in the workplace of the future.

Trustworthy AI has to start with good engineering practices, mandated by laws and industry standards, both of which are currently largely absent. Too much of AI thus far has consisted of short-term solutions, code that gets a system to work immediately, without a critical layer of engineering guarantees that are often taken for granted in other field. The kinds of stress tests that are standard in the development of an automobile (such as crash tests and climate challenges), for example, are rarely seen in AI. AI could learn a lot from how other engineers do business.

The assumption in AI has generally been that if it works often enough to be useful, then that’s good enough, but that casual attitude is not appropriate when the stakes are high. It’s fine if autotagging people in photos turns out to be only 90 percent reliable—if it is just about personal photos that people are posting to Instagram—but it better be much more reliable when the police start using it to find suspects in surveillance photos.

 

Below are some thoughts from Michal Borkowski, CEO and Co-Founder of Brainly, regarding some emerging edtech-related trends for 2020.

2020 is coming at us fast, and it’s bringing a haul of exciting EdTech trends along with it. A new decade means new learning opportunities created to cater to the individual rather than a collective hive. There are more than one or two ways of learning — by not embracing all of the ways to teach, we risk leaving students behind in subjects they may need extra help in.

Michal Borkowski, CEO and Co-Founder of Brainly– the world’s largest online learning platform with 150 million monthly users in 35 countries– has his finger on the pulse of global education trends. He was selected to speak at Disrupt Berlin, the world’s leading authority in debuting revolutionary startups and technologies, this year and has some insightful predictions on the emerging trends 2020 will bring in EdTech.

  1. Customized learning via AI
    AI systems with customizable settings will allow students to learn based on their personal strengths and weaknesses. This stylized learning takes into account that not every student absorbs information in the same way. In turn, it helps teachers understand what each individual student needs, spend more time teaching new material, and receive higher classroom results.
  2. Responsible technological integration
    Students today are more fluent in technology than older generations. Integrating tech through digital resources, textbooks, game-style lessons, and interactive learning are efficient ways to captivate students and teach them responsible usage of technology.
  3. Expansive peer-to-peer learning
    Allowing students access to a platform where they can view different student’s educational interpretations, and one specific perspective may help information click, is invaluable. These learning platforms break down barriers, encourage active learning anywhere, and cultivate a sense of community between students all over the world.
  4. From STEM to STEAM
    Science, technology, engineering, and math curriculums have been the major educational focus of the decade, but 2020 will see more integration of classical liberal arts into educational modules, turning STEM into STEAM. Incorporating the arts into a tech-based curriculum enables students to create important connections to the world and allows them to have a well-rounded education.
  5. Options in learning environments
    Who says learning has to take place in a classroom? Advancements in EdTech has provided new and exciting avenues where educators can experiment. Grade and high school level teachers are experimenting with webinars, online tutorials, and other forms of tech-based instruction to connect to students in environments where they are more inclined to learn.

2020 is the year that education forms itself around each student’s individual needs rather than leaving kids behind who don’t benefit from traditional instruction.

 
© 2024 | Daniel Christian