People, Power and Technology: The Tech Workers’ View — from doteveryone.org.uk

Excerpt:

People, Power and Technology: The Tech Workers’ View is the first in-depth research into the attitudes of the people who design and build digital technologies in the UK. It shows that workers are calling for an end to the era of moving fast and breaking things.

Significant numbers of highly skilled people are voting with their feet and leaving jobs they feel could have negative consequences for people and society. This is heightening the UK’s tech talent crisis and running up employers’ recruitment and retention bills. Organisations and teams that can understand and meet their teams’ demands to work responsibly will have a new competitive advantage.

While Silicon Valley CEOs have tried to reverse the “techlash” by showing their responsible credentials in the media, this research shows that workers:

    • need guidance and skills to help navigate new dilemmas
    • have an appetite for more responsible leadership
    • want clear government regulation so they can innovate with awareness

Also see:

  • U.K. Tech Staff Quit Over Work On ‘Harmful’ AI Projects — from forbes.com by Sam Shead
    Excerpt:
    An alarming number of technology workers operating in the rapidly advancing field of artificial intelligence say they are concerned about the products they’re building. Some 59% of U.K. tech workers focusing on AI have experience of working on products that they felt might be harmful for society, according to a report published on Monday by Doteveryone, the think tank set up by lastminute.com cofounder and Twitter board member Martha Lane Fox.

 

 

 

Watch Salvador Dalí Return to Life Through AI — from interestingengineering.com by
The Dalí Museum has created a deepfake of surrealist artist Salvador Dalí that brings him back to life.

Excerpt:

The Dalí Museum has created a deepfake of surrealist artist Salvador Dalí that brings him back to life. This life-size deepfake is set up to have interactive discussions with visitors.

The deepfake can produce 45 minutes of content and 190,512 possible combinations of phrases and decisions taken by the fake but realistic Dalí. The exhibition was created by Goodby, Silverstein & Partners using 6,000 frames of Dalí taken from historic footage and 1,000 hours of machine learning.

 

From DSC:
While on one hand, incredible work! Fantastic job! On the other hand, if this type of deepfake can be done, how can any video be trusted from here on out? What technology/app will be able to confirm that a video is actually that person, actually saying those words?

Will we get to a point that says, this is so and so, and I approved this video. Or will we have an electronic signature? Will a blockchain-based tech be used? I don’t know…there always seems to be pros and cons to any given technology. It’s how we use it. It can be a dream, or it can be a nightmare.

 

 

Microsoft debuts Ideas in Word, a grammar and style suggestions tool powered by AI — from venturebeat.com by Kyle Wiggers; with thanks to Mr. Jack Du Mez for his posting on this over on LinkedIn

Excerpt:

The first day of Microsoft’s Build developer conference is typically chock-full of news, and this year was no exception. During a keynote headlined by CEO Satya Nadella, the Seattle company took the wraps off a slew of updates to Microsoft 365, its lineup of productivity-focused, cloud-hosted software and subscription services. Among the highlights were a new AI-powered grammar and style checker in Word Online, dubbed Ideas in Word, and dynamic email messages in Outlook Mobile.

Ideas in Word builds on Editor, an AI-powered proofreader for Office 365 that was announced in July 2016 and replaced the Spelling & Grammar pane in Office 2016 later that year. Ideas in Words similarly taps natural language processing and machine learning to deliver intelligent, contextually aware suggestions that could improve a document’s readability. For instance, it’ll recommend ways to make phrases more concise, clear, and inclusive, and when it comes across a particularly tricky snippet, it’ll put forward synonyms and alternative phrasings.

 

Also see:

 

 

From Google: New AR features in Search rolling out later this month.

 

 

Along these lines, see:

 

 

From DSC:
The following item is especially meant for students as well as those who haven’t tried to find a job in recent years.

Job search in the age of artificial intelligence – 5 practical tips — from forbes.com  by Bernard Marr

Excerpt:

If you haven’t searched for a job in recent years, things have changed significantly and will continue to evolve thanks to artificial intelligence (AI). According to a Korn Ferry Global survey, 63% of respondents said AI had altered the way recruiting happens in their organization. Not only do candidates have to get past human gatekeepers when they are searching for a new job, but they also have to pass the screening of artificial intelligence that continues to become more sophisticated. Recruiting and hiring new employees is an expensive endeavor for organizations, so they want to do all that’s possible to find candidates who will make valuable long-term employees for a good return on their recruitment investment.

 

 

Coursera raises $103 million to prepare online learners for the ‘fourth industrial revolution’ — from venturebeat.com by Paul Sawers

Excerpts (emphasis DSC):

Founded in 2012, Coursera is one of a number of well-funded MOOCs — massive open online courses — to emerge. Coursera partners with universities and other educational institutions to deliver online courses to 40 million students, covering subjects like technology, business, science, and even autonomous cars.

“The fourth industrial revolution, marked by advancements in automation and artificial intelligence, is dramatically reshaping our lives, businesses, and jobs,” noted Coursera CEO Jeff Maggioncalda. “Coursera is at the forefront of preparing individuals, companies, and governments to meet that challenge head-on and turn this disruption into opportunity. The additional funding gives us the resources and flexibility to further expand internationally and to accelerate the development of a learning platform that currently serves 40 million learners, 1,800 businesses, and over 150 top universities.”
 

 

How blockchain, virtual assistants and AI are changing higher ed — from educationdive.com by Ben Unglesbee

Dive Brief:

  • In the coming years, advanced technologies like mixed reality, artificial intelligence (AI), blockchain and virtual assistants could play a bigger role at colleges and universities, according to a new report from Educause, a nonprofit focused on IT’s role in higher ed.
  • The 2019 Horizon Report, based on a panel of higher ed experts, zeroes in on trends, challenges and developments in educational technology. Challenges range from the “solvable,” such as improving digital fluency and increasing demand for digital learning experiences, to the “wicked.” The latter includes rethinking teaching and advancing digital equity.
  • The panel contemplated blockchain’s use in higher ed for the first time in the 2019 report. Specifically, the authors looked at its potential for creating alternative forms of academic records that “could follow students from one institution to another, serving as verifiable evidence of learning and enabling simpler transfer of credits across institutions.”

 

 

Walmart unveils an AI-powered store of the future, now open to the public — from techcrunch.comby Sarah Perez

Excerpts:

Walmart this morning unveiled a new “store of the future” and test grounds for emerging technologies, including AI-enabled cameras and interactive displays. The store, a working concept called the Intelligent Retail Lab — or “IRL” for short — operates out of a Walmart Neighborhood Market in Levittown, N.Y.

Similar to Amazon Go’s convenience stores, the store has a suite of cameras mounted in the ceiling. But unlike Amazon Go, which is a grab-and-go store with smaller square footage, Walmart’s IRL spans 50,000 square feet of retail space and is staffed by more than 100 employees.

The cameras and other sensors in the store pump out 1.6 TB of data per second, or the equivalent of three years’ worth of music, which necessitates a big data center on site.

 

From DSC:
I was pleased to see that 100+ human beings were still employed/utilized in that store location.

 

The finalized 2019 Horizon Report Higher Education Edition (from library.educause.edu) was just released on 4/23/19.

Excerpt:

Key Trends Accelerating Technology Adoption in Higher Education:

Short-TermDriving technology adoption in higher education for the next one to two years

  • Redesigning Learning Spaces
  • Blended Learning Designs

Mid-TermDriving technology adoption in higher education for the next three to five years

  • Advancing Cultures of Innovation
  • Growing Focus on Measuring Learning

Long-TermDriving technology adoption in higher education for five or more years

  • Rethinking How Institutions Work
  • Modularized and Disaggregated Degrees

 

 

5 Myths of AI — from thejournal.com by Dian Schaffhauser

Excerpt:

No, artificial intelligence can’t replace the human brain, and no, we’ll never really be able to make AI bias-free. Those are two of the 10 myths IT analyst and consulting firm Gartner tackled in its recent report, Debunking Myths and Misconceptions About Artificial Intelligence.”

 

 

From LinkedIn.com today:

 


Also see:


 

From DSC:
I don’t like this at all. If this foot gets in the door, vendor after vendor will launch their own hordes of drones. In the future, where will we go if we want some piece and quiet? Will the air be filled with swarms of noisy drones? Will we be able to clearly see the sun? An exaggeration..? Maybe…maybe not.

But, now what? What recourse do citizens have? Readers of this blog know that I’m generally pro-technology. But the folks — especially the youth — working within the FAANG companies (and the like) need to do a far better job asking, “Just because we can do something, should we do it?”

As I’ve said before, we’ve turned over the keys to the $137,000 Maserati to drivers who are just getting out of driving school. Then we wonder….”How did we get to this place?” 

 

If you owned this $137,000+ car, would you turn the keys of it over to your 16-25 year old?!

 

As another example, just because we can…

just because we can does not mean we should

 

…doesn’t mean we should.

 

just because we can does not mean we should

 

Legal Services Innovation Index

 

Legal Services Innovation Index

Excerpts:

“This index should also be a resource for law schools and law students. It will help law schools better understand the evolution of the legal landscape, which will help them better prepare their students for the future. Law students can use this index to learn more about how the profession is changing and the knowledge and skills that they should develop for long-term success. The index also aims to provide law students information about the law firms recruiting them as well as a framework for assessing each law firm’s strategies for the future. Again, I caution that this index is simply an initial attempt to measure indicators of innovation and various weaknesses have been acknowledged. That said, the index and this initial information provides a starting point for very important discussions.”

 

“The problem to be solved is the lack of access to legal services. Experts estimate that approximately 80 percent of the impoverished and 50 percent of the middle class lack access to legal services.”

 

 

We Built an ‘Unbelievable’ (but Legal) Facial Recognition Machine — from nytimes.com by Sahil Chinoy

“The future of human flourishing depends upon facial recognition technology being banned,” wrote Woodrow Hartzog, a professor of law and computer science at Northeastern, and Evan Selinger, a professor of philosophy at the Rochester Institute of Technology, last year. ‘Otherwise, people won’t know what it’s like to be in public without being automatically identified, profiled, and potentially exploited.’ Facial recognition is categorically different from other forms of surveillance, Mr. Hartzog said, and uniquely dangerous. Faces are hard to hide and can be observed from far away, unlike a fingerprint. Name and face databases of law-abiding citizens, like driver’s license records, already exist. And for the most part, facial recognition surveillance can be set up using cameras already on the streets.” — Sahil Chinoy; per a weekly e-newsletter from Sam DeBrule at Machine Learnings in Berkeley, CA

Excerpt:

Most people pass through some type of public space in their daily routine — sidewalks, roads, train stations. Thousands walk through Bryant Park every day. But we generally think that a detailed log of our location, and a list of the people we’re with, is private. Facial recognition, applied to the web of cameras that already exists in most cities, is a threat to that privacy.

To demonstrate how easy it is to track people without their knowledge, we collected public images of people who worked near Bryant Park (available on their employers’ websites, for the most part) and ran one day of footage through Amazon’s commercial facial recognition service. Our system detected 2,750 faces from a nine-hour period (not necessarily unique people, since a person could be captured in multiple frames). It returned several possible identifications, including one frame matched to a head shot of Richard Madonna, a professor at the SUNY College of Optometry, with an 89 percent similarity score. The total cost: about $60.

 

 

 

 

From DSC:
What do you think about this emerging technology and its potential impact on our society — and on other societies like China? Again I ask…what kind of future do we want?

As for me, my face is against the use of facial recognition technology in the United States — as I don’t trust where this could lead.

This wild, wild, west situation continues to develop. For example, note how AI and facial recognition get their foot in the door via techs installed years ago:

The cameras in Bryant Park were installed more than a decade ago so that people could see whether the lawn was open for sunbathing, for example, or check how busy the ice skating rink was in the winter. They are not intended to be a security device, according to the corporation that runs the park.

So Amazon’s use of facial recognition is but another foot in the door. 

This needs to be stopped. Now.

 

Facial recognition technology is a menace disguised as a gift. It’s an irresistible tool for oppression that’s perfectly suited for governments to display unprecedented authoritarian control and an all-out privacy-eviscerating machine.

We should keep this Trojan horse outside of the city. (source)

 

AI’s white guy problem isn’t going away — from technologyreview.com by Karen Hao
A new report says current initiatives to fix the field’s diversity crisis are too narrow and shallow to be effective.

Excerpt:

The numbers tell the tale of the AI industry’s dire lack of diversity. Women account for only 18% of authors at leading AI conferences, 20% of AI professorships, and 15% and 10% of research staff at Facebook and Google, respectively. Racial diversity is even worse: black workers represent only 2.5% of Google’s entire workforce and 4% of Facebook’s and Microsoft’s. No data is available for transgender people and other gender minorities—but it’s unlikely the trend is being bucked there either.

This is deeply troubling when the influence of the industry has dramatically grown to affect everything from hiring and housing to criminal justice and the military. Along the way, the technology has automated the biases of its creators to alarming effect: devaluing women’s résumés, perpetuating employment and housing discrimination, and enshrining racist policing practices and prison convictions.

 

Along these lines, also see:

‘Disastrous’ lack of diversity in AI industry perpetuates bias, study finds — from by theguardian.com by Kari Paul
Report says an overwhelmingly white and male field has reached ‘a moment of reckoning’ over discriminatory systems

Excerpt:

Lack of diversity in the artificial intelligence field has reached “a moment of reckoning”, according to new findings published by a New York University research center. A “diversity disaster” has contributed to flawed systems that perpetuate gender and racial biases found the survey, published by the AI Now Institute, of more than 150 studies and reports.

The AI field, which is overwhelmingly white and male, is at risk of replicating or perpetuating historical biases and power imbalances, the report said. Examples cited include image recognition services making offensive classifications of minorities, chatbots adopting hate speech, and Amazon technology failing to recognize users with darker skin colors. The biases of systems built by the AI industry can be largely attributed to the lack of diversity within the field itself, the report said.

 

 

 

Addendum on 4/20/19:

Amazon is now making its delivery drivers take selfies — from theverge.com by Shannon Liao
It will then use facial recognition to double-check

From DSC:
I don’t like this piece re: Amazon’s use of facial recognition at all. Some organization like Amazon asserts that they need facial recognition to deliver services to its customers, and then, the next thing we know, facial recognition gets its foot in the door…sneaks in the back way into society’s house. By then, it’s much harder to get rid of. We end up with what’s currently happening in China. I don’t want to pay for anything with my face. Ever. As Mark Zuckerberg has demonstrated time and again, I don’t trust humankind to handle this kind of power. Plus, the developing surveillance states by several governments is a chilling thing indeed. China is using it to identify/track Muslims.

China using AI to track Muslims

Can you think of some “groups” that people might be in that could be banned from receiving goods and services? I can. 

The appalling lack of privacy that’s going on in several societies throughout the globe has got to be stopped. 

 

 
© 2025 | Daniel Christian