Police across the US are training crime-predicting AIs on falsified data — from technologyreview.com by Karen Hao
A new report shows how supposedly objective systems can perpetuate corrupt policing practices.

Excerpts (emphasis DSC):

Despite the disturbing findings, the city entered a secret partnership only a year later with data-mining firm Palantir to deploy a predictive policing system. The system used historical data, including arrest records and electronic police reports, to forecast crime and help shape public safety strategies, according to company and city government materials. At no point did those materials suggest any effort to clean or amend the data to address the violations revealed by the DOJ. In all likelihood, the corrupted data was fed directly into the system, reinforcing the department’s discriminatory practices.


But new research suggests it’s not just New Orleans that has trained these systems with “dirty data.” In a paper released today, to be published in the NYU Law Review, researchers at the AI Now Institute, a research center that studies the social impact of artificial intelligence, found the problem to be pervasive among the jurisdictions it studied. This has significant implications for the efficacy of predictive policing and other algorithms used in the criminal justice system.

“Your system is only as good as the data that you use to train it on,” says Kate Crawford, cofounder and co-director of AI Now and an author on the study.

 

How AI is enhancing wearables — from techopedia.com by Claudio Butticev
Takeaway: Wearable devices have been helping people for years now, but the addition of AI to these wearables is giving them capabilities beyond anything seen before.

Excerpt:

Restoring Lost Sight and Hearing – Is That Really Possible?
People with sight or hearing loss must face a lot of challenges every day to perform many basic activities. From crossing the street to ordering food on the phone, even the simplest chore can quickly become a struggle. Things may change for these struggling with sight or hearing loss, however, as some companies have started developing machine learning-based systems to help the blind and visually impaired find their way across cities, and the deaf and hearing impaired enjoy some good music.

German AI company AiServe combined computer vision and wearable hardware (camera, microphone and earphones) with AI and location services to design a system that is able to acquire data over time to help people navigate through neighborhoods and city blocks. Sort of like a car navigation system, but in a much more adaptable form which can “learn how to walk like a human” by identifying all the visual cues needed to avoid common obstacles such as light posts, curbs, benches and parked cars.

 

From DSC:
So once again we see the pluses and minuses of a given emerging technology. In fact, most technologies can be used for good or for ill. But I’m left with asking the following questions:

  • As citizens, what do we do if we don’t like a direction that’s being taken on a given technology or on a given set of technologies? Or on a particular feature, use, process, or development involved with an emerging technology?

One other reflection here…it’s the combination of some of these emerging technologies that will be really interesting to see what happens in the future…again, for good or for ill. 

The question is:
How can we weigh in?

 

Also relevant/see:

AI Now Report 2018 — from ainowinstitute.org, December 2018

Excerpt:

University AI programs should expand beyond computer science and engineering disciplines. AI began as an interdisciplinary field, but over the decades has narrowed to become a technical discipline. With the increasing application of AI systems to social domains, it needs to expand its disciplinary orientation. That means centering forms of expertise from the social and humanistic disciplines. AI efforts that genuinely wish to address social implications cannot stay solely within computer science and engineering departments, where faculty and students are not trained to research the social world. Expanding the disciplinary orientation of AI research will ensure deeper attention to social contexts, and more focus on potential hazards when these systems are applied to human populations.

 

Furthermore, it is long overdue for technology companies to directly address the cultures of exclusion and discrimination in the workplace. The lack of diversity and ongoing tactics of harassment, exclusion, and unequal pay are not only deeply harmful to employees in these companies but also impacts the AI products they release, producing tools that perpetuate bias and discrimination.

The current structure within which AI development and deployment occurs works against meaningfully addressing these pressing issues. Those in a position to profit are incentivized to accelerate the development and application of systems without taking the time to build diverse teams, create safety guardrails, or test for disparate impacts. Those most exposed to harm from 42 these systems commonly lack the financial means and access to accountability mechanisms that would allow for redress or legal appeals. 233 This is why we are arguing for greater funding for public litigation, labor organizing, and community participation as more AI and algorithmic systems shift the balance of power across many institutions and workplaces.

 

Also relevant/see:

 

 
This is how you’ll look for a job in 2019 — from linkedin.com by Lydia Dishman
Some brand new strategies and time-tested traditions dictate the way job seekers will conduct the hunt in 2019.

Excerpt:

In addition to making sure you list at least five skills, Guo suggests adding the field you work in since more than 300,000 people search by industry on LinkedIn each week. And don’t forget to update the city you work in since this can make you up to 23 times more likely to be found in search, according to LinkedIn’s data.

 

From DSC:
This next article is likely somewhat of an ad to take courses out at Lynda.com, but it’s still helpful I think:

 

Also see (emphasis DSC):

  • These are the 10 most in-demand skills of 2019, according to LinkedIn — from weforum.org by Emma Charlton
    Excerpt (emphasis DSC):
    According to analysis from networking site LinkedIn, 2019’s employers are looking for a combination of both hard and soft skills, with creativity topping the list of desired attributes. The findings chime with the World Economic Forum’s Future of Jobs report, which concluded that “human” skills like originality, initiative and critical thinking are likely to increase in value as technology and automation advances. “Strengthening a soft skill is one of the best investments you can make in your career, as they never go out of style,” LinkedIn Learning Editor, Paul Petrone wrote in a blog. “Plus, the rise of AI is only making soft skills increasingly important, as they are precisely the type of skills robots can’t automate.”

 

 

 

LinkedIn 2019 Talent Trends: Soft Skills, Transparency and Trust — from linkedin.com by Josh Bersin

Excerpts:

This week LinkedIn released its 2019 Global Talent Trends research, a study that summarizes job and hiring data across millions of people, and the results are quite interesting. (5,165 talent and managers responded, a big sample.)

In an era when automation, AI, and technology has become more pervasive, important (and frightening) than ever, the big issue companies face is about people: how we find and develop soft skills, how we create fairness and transparency, and how we make the workplace more flexible, humane, and honest.

The most interesting part of this research is a simple fact: in today’s world of software engineering and ever-more technology, it’s soft skills that employers want. 91% of companies cited this as an issue and 80% of companies are struggling to find better soft skills in the market.

What is a “soft skill?” The term goes back twenty years when we had “hard skills” (engineering and science) so we threw everything else into the category of “soft.” In reality soft skills are all the human skills we have in teamwork, leadership, collaboration, communication, creativity, and person to person service. It’s easy to “teach” hard skills, but soft skills must be “learned.”

 

 

Also see:

Employers Want ‘Uniquely Human Skills’ — from campustechnology.com by Dian Schaffhauser

Excerpt:

According to 502 hiring managers and 150 HR decision-makers, the top skills they’re hunting for among new hires are:

  • The ability to listen (74 percent);
  • Attention to detail and attentiveness (70 percent);
  • Effective communication (69 percent);
  • Critical thinking (67 percent);
  • Strong interpersonal abilities (65 percent); and
  • Being able to keep learning (65 percent).
 

What is 5G? Everything you need to know — from techradar.com by Mike Moore
The latest news, views and developments in the exciting world of 5G networks.

Excerpt:

What is 5G?
5G networks are the next generation of mobile internet connectivity, offering faster speeds and more reliable connections on smartphones and other devices than ever before.

Combining cutting-edge network technology and the very latest research, 5G should offer connections that are multitudes faster than current connections, with average download speeds of around 1GBps expected to soon be the norm.

The networks will help power a huge rise in Internet of Things technology, providing the infrastructure needed to carry huge amounts of data, allowing for a smarter and more connected world.

With development well underway, 5G networks are expected to launch across the world by 2020, working alongside existing 3G and 4G technology to provide speedier connections that stay online no matter where you are.

So with only a matter of months to go until 5G networks are set to go live, here’s our run-down of all the latest news and updates.

 

 

From DSC:
I wonder…

  • What will Human Computer Interaction (HCI) look like when ~1GBps average download speeds are the norm?
  • What will the Internet of Things (IoT) turn into (for better or for worse)?
  • How will Machine-to-Machine (M2M) Communications be impacted?
  • What will that kind of bandwidth mean for XR-related technologies (AR VR MR)?

 

 

 

Presentation Translator for PowerPoint — from Microsoft (emphasis below from DSC:)

Presentation Translator breaks down the language barrier by allowing users to offer live, subtitled presentations straight from PowerPoint. As you speak, the add-in powered by the Microsoft Translator live feature, allows you to display subtitles directly on your PowerPoint presentation in any one of more than 60 supported text languages. This feature can also be used for audiences who are deaf or hard of hearing.

 

Additionally, up to 100 audience members in the room can follow along with the presentation in their own language, including the speaker’s language, on their phone, tablet or computer.

 

From DSC:
Up to 100 audience members in the room can follow along with the presentation in their own language! Wow!

Are you thinking what I’m thinking?! If this could also address learners and/or employees outside the room as well, this could be an incredibly powerful piece of a next generation, global learning platform! 

Automatic translation with subtitles — per the learner’s or employee’s primary language setting as established in their cloud-based learner profile. Though this posting is not about blockchain, the idea of a cloud-based learner profile reminds me of the following graphic I created in January 2017.

A couple of relevant quotes here:

A number of players and factors are changing the field. Georgia Institute of Technology calls it “at-scale” learning; others call it the “mega-university” — whatever you call it, this is the advent of the very large, 100,000-plus-student-scale online provider. Coursera, edX, Udacity and FutureLearn (U.K.) are among the largest providers. But individual universities such as Southern New Hampshire, Arizona State and Georgia Tech are approaching the “at-scale” mark as well. One could say that’s evidence of success in online learning. And without question it is.

But, with highly reputable programs at this scale and tuition rates at half or below the going rate for regional and state universities, the impact is rippling through higher ed. Georgia Tech’s top 10-ranked computer science master’s with a total expense of less than $10,000 has drawn more than 10,000 qualified majors. That has an impact on the enrollment at scores of online computer science master’s programs offered elsewhere. The overall online enrollment is up, but it is disproportionately centered in affordable scaled programs, draining students from the more expensive, smaller programs at individual universities. The dominoes fall as more and more high-quality at-scale programs proliferate.

— Ray Schroeder

 

 

Education goes omnichannel. In today’s connected world, consumers expect to have anything they want available at their fingertips, and education is no different. Workers expect to be able to learn on-demand, getting the skills and knowledge they need in that moment, to be able to apply it as soon as possible. Moving fluidly between working and learning, without having to take time off to go to – or back to – school will become non-negotiable.

Anant Agarwal

 

From DSC:
Is there major change/disruption ahead? Could be…for many, it can’t come soon enough.

 

 
 

The world is changing. Here’s how companies must adapt. — from weforum.org by Joe Kaeser, President and Chief Executive Officer, Siemens AG

Excerpts (emphasis DSC):

Although we have only seen the beginning, one thing is already clear: the Fourth Industrial Revolution is the greatest transformation human civilization has ever known. As far-reaching as the previous industrial revolutions were, they never set free such enormous transformative power.

The Fourth Industrial Revolution is transforming practically every human activity...its scope, speed and reach are unprecedented.

Enormous power (Insert from DSC: What I was trying to get at here) entails enormous risk. Yes, the stakes are high. 

 

“And make no mistake about it: we are now writing the code that will shape our collective future.” CEO of Siemens AG

 

 

Contrary to Milton Friedman’s maxim, the business of business should not just be business. Shareholder value alone should not be the yardstick. Instead, we should make stakeholder value, or better yet, social value, the benchmark for a company’s performance.

Today, stakeholders…rightfully expect companies to assume greater social responsibility, for example, by protecting the climate, fighting for social justice, aiding refugees, and training and educating workers. The business of business should be to create value for society.

This seamless integration of the virtual and the physical worlds in so-called cyber-physical systems – that is the giant leap we see today. It eclipses everything that has happened in industry so far. As in previous industrial revolutions but on a much larger scale, the Fourth Industrial Revolution will eliminate millions of jobs and create millions of new jobs.

 

“…because the Fourth Industrial Revolution runs on knowledge, we need a concurrent revolution in training and education.

If the workforce doesn’t keep up with advances in knowledge throughout their lives, how will the millions of new jobs be filled?” 

Joe Kaeser, President and Chief Executive Officer, Siemens AG

 

 


From DSC:
At least three critically important things jump out at me here:

  1. We are quickly approaching a time when people will need to be able to reinvent themselves quickly and cost-effectively, especially those with families and who are working in their (still existing) jobs. (Or have we already entered this period of time…?)
  2. There is a need to help people identify which jobs are safe to reinvent themselves to — at least for the next 5-10 years.
  3. Citizens across the globe — and their relevant legislatures, governments, and law schools — need to help close the gap between emerging technologies and whether those technologies should even be rolled out, and if so, how and with which features.

 


 

What freedoms and rights should individuals have in the digital age?

Joe Kaeser, President and Chief Executive Officer, Siemens AG

 

 

Best camera for vlogging 2019: 10 perfect choices tested — from techradar.com by Matthew Richards
Here are our top 10 vlogging camera picks

 

From DSC:
Also, with a different kind of camera in mind…and with a shout out to Mr. Charles Mickens (CIO / Associate Dean of Innovation and Technology at the WMU-Cooley Law School) see the amazing Light L16 Camera:

 

 

A Little Bit of Light from light on Vimeo.

 

 

5 questions we should be asking about automation and jobs — from hbr.org by Jed Kolko

Excerpts:

  1. Will workers whose jobs are automated be able to transition to new jobs?*
  2. Who will bear the burden of automation?
  3. How will automation affect the supply of labor?
  4. How will automation affect wages, and how will wages affect automation?
  5. How will automation change job searching?

 

From DSC:
For those Economics profs and students out there, I’m posted this with you in mind; also highly applicable and relevant to MBA programs.

* I would add a few follow-up questions to question #1 above:

  • To which jobs should they transition to?
  • Who can help identify the jobs that might be safe for 5-10 years?
  • If you have a family to feed, how are you going to be able to reinvent yourself quickly and as efficiently/flexibly as possible? (Yes…constant, online-based learning comes to my mind as well, as campus-based education is great, but very time-consuming.)

 

Also see:

We Still Don’t Know Much About the Jobs the AI Economy Will Make — or Take — from medium.com by Rachel Metz with MIT Technology Review
Experts think companies need to invest in workers the way they do for other core aspects of their business they’re looking to future-proof

One big problem that could have lasting effects, she thinks, is a mismatch between the skills companies need in new employees and those that employees have or know that they can readily acquire. To fix this, she said, companies need to start investing in their workers the way they do their supply chains.

 

Per LinkedIn:

Putting robots to work is becoming more and more popularparticularly in Europe. According to the European Bank for Reconstruction and Development, Slovakian workers face a 62% median probability that their job will be automated “in the near future.” Workers in Eastern Europe face the biggest likelihood of having their jobs overtaken by machines, with the textile, agriculture and manufacturing industries seen as the most vulnerable. • Here’s what people are saying.

 

Robot Ready: Human+ Skills for the Future of Work — from economicmodeling.com

Key Findings

In Robot-Ready, we examine several striking insights:

1. Human skills—like leadership, communication, and problem solving—are among the most in-demand skills in the labor market.

2. Human skills are applied differently across career fields. To be effective, liberal arts grads must adapt their skills to the job at hand.

3. Liberal art grads should add technical skills. There is considerable demand for workers who complement their human skills with basic technical skills like data analysis and digital fluency.

4. Human+ skills are at work in a variety of fields. Human skills help liberal arts grads thrive in many career areas, including marketing, public relations, technology, and sales.

 

 

 

From DSC:
How long before voice drives most appliances, thermostats, etc?

Hisense is bringing Android and AI smarts to its 2019 TV range — from techradar.com by Stephen Lambrechts
Some big announcements planned for CES 2019

Excerpt (emphasis DSC):

Hisense has announced that it will unveil the next evolution of its VIDAA smart TV platform at CES 2019 next month, promising to take full advantage of artificial intelligence with version 3.0.

Each television in Hisense’s 2019 ULED TV lineup will boast the updated VIDAA 3.0 AI platform, with Amazon Alexa functionality fully integrated into the devices, meaning you won’t need an Echo device to use Alexa voice control features.

 

 

 

Can space activate learning? UC Irvine seeks to find out with $67M teaching facility  — from edsurge.com by Sydney Johnson

Excerpt:

When class isn’t in session, UC Irvine’s shiny new Anteater Learning Pavillion looks like any modern campus building. There are large lecture halls, hard-wired lecture capture technology, smaller classrooms, casual study spaces and brightly colored swivel chairs.

But there’s more going on in this three-level, $67-million facility, which opened its doors in September. For starters, the space is dedicated to “active learning,” a term that often refers to teaching styles that go beyond a one-way lecture format. That could range from simply giving students a chance to pause and discuss with peers, to role playing, to polling students during class, and more.

To find out what that really looks like—and more importantly, if it works—the campus is also conducting a major study over the next year to assess active learning in the new building.

 

 

 

 
 
 

Top Trends in Active and Collaborative Learning — from thesextantgroup.com by Joe Hammett

Excerpts:

My daughter is a maker. She spends hours tinkering with sewing machines and slime recipes, building salamander habitats and the like. She hangs out with her school friends inside apps that teach math and problem solving through multi-player games. All the while, they are learning to communicate and collaborate in ways that are completely foreign to their grandparent’s generation. She is 10 years old and represents a shift in human cognitive processing brought about by the mastery of technology from a very young age. Her generation and those that come after have never known a time without technology. Personal devices have changed the shared human experience and there is no turning back.

The spaces in which this new human chooses to occupy must cater to their style of existence. They see every display as interactive and are growing up knowing that the entirety of human knowledge is available to them by simply asking Alexa. The 3D printer is a familiar concept and space travel for pleasure will be the norm when they have children of their own.

Current trends in active and collaborative learning are evolving alongside these young minds and when appropriately implemented, enable experiential learning and creative encounters that are changing the very nature of the learning process. Attention to the spaces that will support the educators is also paramount to this success. Lesson plans and teaching style must flip with the classroom. The learning space is just a room without the educator and their content.

 


8. Flexible and Reconfigurable
With floor space at a premium, classrooms need to be able to adapt to a multitude of uses and pedagogies. Flexible furniture will allow the individual instructor freedom to set up the space as needed for their intended activities without impacting the next person to use the room. Construction material choices are key to achieving an easily reconfigurable space. Raised floors and individually controllable lighting fixtures allow a room to go from lecture to group work with ease. Whiteboard paints and rail mounting systems make walls reconfigurable too!.

Active Learning, Flipped Classroom, SCALE-UP, TEAL Classroom, whatever label you choose to place before it, the classroom, learning spaces of all sorts, are changing. The occupants of these spaces demand that they are able to effectively, and comfortably, share ideas and collaborate on projects with their counterparts both in person and in the ether. A global shift is happening in the way humans share ideas. Disruptive technology, on a level not seen since the assembly line, is driving a change in the way humans interact with other humans. The future is collaborative.

 

 

 

A Space for Learning: A review of research on active learning spaces — from by Robert Talbert and Anat Mor-Avi

Abstract:
Active Learning Classrooms (ALCs) are learning spaces specially designed to optimize the practice of active learning and amplify its positive effects in learners from young children through university-level learners. As interest in and adoption of ALCs has increased rapidly over the last decade, the need for grounded research in their effects on learners and schools has grown proportionately. In this paper, we review the peer-reviewed published research on ALCs, dating back to the introduction of “studio” classrooms and the SCALE-UP program up to the present day. We investigate the literature and summarize findings on the effects of ALCs on learning outcomes, student engagement, and the behaviors and practices of instructors as well as the specific elements of ALC design that seem to contribute the most to these effects. We also look at the emerging cultural impact of ALCs on institutions of learning, and we examine the drawbacks of the published research as well as avenues for potential future research in this area.

 

1: Introduction
1.1: What is active learning, and what is an active learning classroom?
Active learning is defined broadly to include any pedagogical method that involves students actively working on learning tasks and reflecting on their work, apart from watching, listening, and taking notes (Bonwell & Eison, 1991). Active learning has taken hold as a normative instructional practice in K12 and higher education institutions worldwide. Recent studies, such as the 2014 meta-analysis linking active learning pedagogies with dramatically reduced failure rates in university-level STEM courses (Freeman et al., 2014) have established that active learning drives increased student learning and engagement across disciplines, grade levels, and demographics.

As schools, colleges, and universities increasingly seek to implement active learning, concerns about the learning spaces used for active learning have naturally arisen. Attempts to implement active learning pedagogies in spaces that are not attuned to the particular needs of active learning — for example, large lecture halls with fixed seating — have resulted in suboptimal results and often frustration among instructors and students alike. In an effort to link architectural design to best practices in active learning pedagogy, numerous instructors, school leaders, and architects have explored how learning spaces can be differently designed to support active learning and amplify its positive effects on student learning. The result is a category of learning spaces known as Active Learning Classrooms (ALCs).

While there is no universally accepted definition of an ALC, the spaces often described by this term have several common characteristics:

  • ALCs are classrooms, that is, formal spaces in which learners convene for educational activities. We do not include less-formal learning spaces such as faculty offices, library study spaces, or “in-between” spaces located in hallways or foyers.
  • ALCs include deliberate architectural and design attributes that are specifically intended to promote active learning. These typically include moveable furniture that can be reconfigured into a variety of different setups with ease, seating that places students in small groups, plentiful horizontal and/or vertical writing surfaces such as whiteboards, and easy access to learning
    technologies (including technological infrastructure such as power outlets).
  • In particular, most ALCs have a “polycentric” or “acentric” design in which there is no clearly-defined front of the room by default. Rather, the instructor has a station which is either
    movable or located in an inconspicuous location so as not to attract attention; or perhaps there is no specific location for the instructor.
  • Finally, ALCs typically provide easy access to digital and analog tools for learning , such as multiple digital projectors, tablet or laptop computers, wall-mounted and personal whiteboards, or classroom response systems.

2.1: Research questions
The main question that this study intends to investigate is: What are the effects of the use of ALCs on student learning, faculty teaching, and institutional cultures? Within this broad overall question, we will focus on four research questions:

  1. What effects do ALCs have on measurable metrics of student academic achievement? Included in such metrics are measures such as exam scores, course grades, and learning gains on pre/post-test measures, along with data on the acquisition of “21st Century Skills”, which we will define using a framework (OCDE, 2009) which groups “21st Century Skills” into skills pertaining to information, communication, and ethical/social impact.
  2. What effects do ALCs have on student engagement? Specifically, we examine results pertaining to affective, behavioral, and cognitive elements of the idea of “engagement” as well as results that cut across these categories.
  3. What effect do ALCs have on the pedagogical practices and behaviors of instructors? In addition to their effects on students, we are also interested the effects of ALCs on the instructors who use them. Specifically, we are interested in how ALCs affect instructor attitudes toward and implementations of active learning, how ALCs influence faculty adoption of active learning pedagogies, and how the use of ALCs affects instructors’ general and environmental behavior.
  4. What specific design elements of ALCs contribute significantly to the above effects? Finally, we seek to identify the critical elements of ALCs that contribute the most to their effects on student learning and instructor performance, including affordances and elements of design, architecture, and technology integration.

 

Active Learning Classrooms (ALCs)

 

 

The common denominator in the larger cultural effects of ALCs and active learning on students and instructors is the notion of connectedness, a concept we have already introduced in discussions of specific ALC design elements. By being freer to move and have physical and visual contact with each other in a class meeting, students feel more connected to each other and more connected to their instructor. By having an architectural design that facilitates not only movement but choice and agency — for example, through the use of polycentric layouts and reconfigurable furniture — the line between instructor and students is erased, turning the ALC into a vessel in which an authentic community of learners can take form.

 

 

 

 
© 2024 | Daniel Christian