10 things we should all demand from Big Tech right now — from vox.com by Sigal Samuel
We need an algorithmic bill of rights. AI experts helped us write one.

We need an algorithmic bill of rights. AI experts helped us write one.

Excerpts:

  1. Transparency: We have the right to know when an algorithm is making a decision about us, which factors are being considered by the algorithm, and how those factors are being weighted.
  2. Explanation: We have the right to be given explanations about how algorithms affect us in a specific situation, and these explanations should be clear enough that the average person will be able to understand them.
  3. Consent: We have the right to give or refuse consent for any AI application that has a material impact on our lives or uses sensitive data, such as biometric data.
  4. Freedom from bias: We have the right to evidence showing that algorithms have been tested for bias related to race, gender, and other protected characteristics — before they’re rolled out. The algorithms must meet standards of fairness and nondiscrimination and ensure just outcomes. (Inserted comment from DSC: Is this even possible? I hope so, but I have my doubts especially given the enormous lack of diversity within the large tech companies.)
  5. Feedback mechanism: We have the right to exert some degree of control over the way algorithms work.
  6. Portability: We have the right to easily transfer all our data from one provider to another.
  7. Redress: We have the right to seek redress if we believe an algorithmic system has unfairly penalized or harmed us.
  8. Algorithmic literacy: We have the right to free educational resources about algorithmic systems.
  9. Independent oversight: We have the right to expect that an independent oversight body will be appointed to conduct retrospective reviews of algorithmic systems gone wrong. The results of these investigations should be made public.
  10. Federal and global governance: We have the right to robust federal and global governance structures with human rights at their center. Algorithmic systems don’t stop at national borders, and they are increasingly used to decide who gets to cross borders, making international governance crucial.

 

This raises the question: Who should be tasked with enforcing these norms? Government regulators? The tech companies themselves?

 

 

To attract talent, corporations turn to MOOCs — from edsurge.com by by Wade Tyler Millward

Excerpt:

When executives at tech giants Salesforce and Microsoft decided in fall 2017 to turn to an online education platform to help train potential users of products for their vendors, they turned to Pierre Dubuc and his team in fall 2017.

Two years later, Dubuc’s company, OpenClassrooms, has closed deals with both of them. Salesforce has worked with OpenClassrooms to create and offer a developer-training course to help people learn how to use the Salesforce platform. In a similar vein, Microsoft will use the OpenClassrooms platform for a six-month course in artificial intelligence. If students complete the AI program, they are guaranteed a job within six months or get their money back. They also earn masters-level diploma accredited in Europe.

 

 

San Francisco becomes first city to bar police from using facial recognition— from cnet.com by Laura Hautala
It won’t be the last city to consider a similar law.

San Francisco becomes first city to bar police from using facial recognition

Excerpt:

The city of San Francisco approved an ordinance on Tuesday [5/14/19] barring the police department and other city agencies from using facial recognition technology on residents. It’s the first such ban of the technology in the country.

The ordinance, which passed by a vote of 8 to 1, also creates a process for the police department to disclose what surveillance technology they use, such as license plate readers and cell-site simulators that can track residents’ movements over time. But it singles out facial recognition as too harmful to residents’ civil liberties to even consider using.

“Facial surveillance technology is a huge legal and civil liberties risk now due to its significant error rate, and it will be worse when it becomes perfectly accurate mass surveillance tracking us as we move about our daily lives,” said Brian Hofer, the executive director of privacy advocacy group Secure Justice.

For example, Microsoft asked the federal government in July to regulate facial recognition technology before it gets more widespread, and said it declined to sell the technology to law enforcement. As it is, the technology is on track to become pervasive in airports and shopping centers and other tech companies like Amazon are selling the technology to police departments.

 

Also see:

 

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 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

 

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)

 

The Growing Profile of Non-Degree Credentials: Diving Deeper into ‘Education Credentials Come of Age’ — from evolllution.com by Sean Gallagher
Higher education is entering a “golden age” of lifelong learning and that will mean a spike in demand for credentials. If postsecondary institutions want to compete in a crowded market, they need to change fast.

Excerpts (emphasis DSC):

One of the first levels of opportunity is simply embedding the skills that are demanded in the job market into educational programs. Education certainly has its own merits independent of professional outcomes. But critics of higher education who suggest graduates aren’t prepared for the workforce have a point in terms of the opportunity for greater job market alignment, and less of an “ivory tower” mentality at many institutions. Importantly, this does not mean that there isn’t value in the liberal arts and in broader ways of thinking—problem solving, leadership, critical thinking, analysis, and writing are among the very top skills demanded by employers across all educational levels. These are foundational and independent of technical skills.

The second opportunity is building an ecosystem for better documentation and sharing of skills—in a sense what investor Ryan Craig has termed a “competency marketplace.” Employers’ reliance on college degrees as relatively blunt signals of skill and ability is partly driven by the fact that there aren’t many strong alternatives. Technology—and the growth of platforms like LinkedIn, ePortfolios and online assessments—is changing the game. One example is digital badges, which were originally often positioned as substitutes to degrees or certificates.

Instead, I believe digital badges are a supplement to degrees and we’re increasingly seeing badges—short microcredentials that discretely and digitally document competency—woven into degree programs, from the community college to the graduate degree level.

 

However, it is becoming increasingly clear that the market is demanding more “agile” and shorter-form approaches to education. Many institutions are making this a strategic priority, especially as we read the evolution of trends in the global job market and soon enter the 2020s.

Online education—which in all its forms continues to slowly and steadily grow its market share in terms of all higher ed instruction—is certainly an enabler of this vision, given what we know about pedagogy and the ability to digitally document outcomes.

 

In addition, 64 percent of the HR leaders we surveyed said that the need for ongoing lifelong learning will demand higher levels of education and more credentials in the future.

 

Along these lines of online-based collaboration and learning,
go to the 34 minute mark of this video:

 

From DSC:
The various pieces are coming together to build the next generation learning platform. Although no one has all of the pieces yet, the needs/trends/signals are definitely there.

 

Daniel Christian-- Learning from the Living Class Room

 

Addendums on 4/20/19:

 

 

Microsoft and OpenClassrooms to train students to fill high-demand AI jobs — from news.microsoft.com

Excerpt:

Strategic partnership aims to address the talent gap in technology hiring
PARIS – April 3, 2019 – Microsoft Corp. and online education leader OpenClassrooms are announcing a new partnership to train and prepare students for artificial intelligence (AI) jobs in the workplace. The collaboration is designed to provide more students with access to education to learn in-demand skills and to qualify for high-tech jobs, while giving employers access to great talent to fill high-tech roles.

The demand for next-generation artificial intelligence skills has far outpaced the number of candidates in the job market. One estimate suggests that, by 2022, a talent shortage will leave as many as 30% of AI and data skills jobs open.

 

Students who complete the program are guaranteed a job within six months or they will receive a full refund from OpenClassrooms.

 

Also see:

Tesla START: Student Automotive Technician Program

Excerpt:

Tesla START is an intensive training program designed to provide students across North America with the skills necessary for a successful career with Tesla—at the forefront of the electric vehicle revolution. During the program, students will develop technical expertise and earn certifications through a blended approach of in-class theory, hands-on labs and self-paced learning.

We are partnering with colleges across the country to integrate Tesla START into automotive technician curriculums as a 12-week capstone—providing students with a smooth transition from college to full-time employment.

 

Microsoft rolls out healthcare bot: How it will change healthcare industry — from yourtechdiet.com by Brian Curtis

Excerpt:

AI and the Healthcare Industry
This technology is evidently the game changer in the healthcare industry. According to the reports by Frost & Sullivan, the AI market for healthcare is likely to experience a CAGR of 40% by 2021, and has the potential to change industry outcomes by 30-40%, while cutting treatment costs in half.

In the words of Satya Nadella, “AI is the runtime that is going to shape all of what we do going forward in terms of the applications as well as the platform advances”.

Here are a few ways Microsoft’s Healthcare Bot will shape the Healthcare Industry…

 

Also see:

  • Why AI will make healthcare personal — from weforum.org by Peter Schwartz
    Excerpt:
    Digital assistants to provide a 24/7 helping hand
    The digital assistants of the future will be full-time healthcare companions, able to monitor a patient’s condition, transmit results to healthcare providers, and arrange virtual and face-to-face appointments. They will help manage the frequency and dosage of medication, and provide reliable medical advice around the clock. They will remind doctors of patients’ details, ranging from previous illnesses to past drug reactions. And they will assist older people to access the care they need as they age, including hospice care, and help to mitigate the fear and loneliness many elderly people feel.

 

  • Introducing New Alexa Healthcare Skills — from developer.amazon.com by Rachel Jiang
    Excerpts:
    The new healthcare skills that launched today are:Express Scripts (a leading Pharmacy Services Organization)
    Cigna Health Today (by Cigna, the global health service company)
    My Children’s Enhanced Recovery After Surgery (ERAS) (by Boston Children’s Hospital, a leading children’s hospital)
    Swedish Health Connect (by Providence St. Joseph Health, a healthcare system with 51 hospitals across 7 states and 829 clinics)
    Atrium Health (a healthcare system with more than 40 hospitals and 900 care locations throughout North and South Carolina and Georgia)
    Livongo (a leading consumer digital health company that creates new and different experiences for people with chronic conditions)

Voice as the Next Frontier for Conveniently Accessing Healthcare Services

 

  • Got health care skills? Big Tech wants to hire you — from linkedin.com Jaimy Lee
    Excerpt:
    As tech giants like Amazon, Apple and Google place bigger and bigger bets on the U.S. health care system, it should come as no surprise that the rate at which they are hiring workers with health care skills is booming.We took a deep dive into the big tech companies on this year’s LinkedIn Top Companies list in the U.S., uncovering the most popular health care skills among their workers — and what that says about the future of health care in America.
 

Check out the top 10:

1) Alphabet (Google); Internet
2) Facebook; Internet
3) Amazon; Internet
4) Salesforce; Internet
5) Deloitte; Management Consulting
6) Uber; Internet
7) Apple; Consumer Electronics
8) Airbnb; Internet
9) Oracle; Information Technology & Services
10) Dell Technologies; Information Technology & Services

 

The growing marketplace for AI ethics — from forbes.com by Forbes Insights with Intel AI

Excerpt:

As companies have raced to adopt artificial intelligence (AI) systems at scale, they have also sped through, and sometimes spun out, in the ethical obstacle course AI often presents.

AI-powered loan and credit approval processes have been marred by unforeseen bias. Same with recruiting tools. Smart speakers have secretly turned on and recorded thousands of minutes of audio of their owners.

Unfortunately, there’s no industry-standard, best-practices handbook on AI ethics for companies to follow*—at least not yet. Some large companies, including Microsoft and Google, are developing their own internal ethical frameworks.

A number of think tanks, research organizations, and advocacy groups, meanwhile, have been developing a wide variety of ethical frameworks and guidelines for AI.

 

*Insert DSC:
Read this as a very powerful, chaotic, massive WILD, WILD, WEST.  Can law schools, legislatures, governments, businesses, and more keep up with this new pace of technological change?

 

Also see:

 

Law schools escalate their focus on digital skills — from edtechmagazine.com by Eli Zimmerman
Coding, data analytics and device integration give students the tools to become more efficient lawyers.

Excerpt:

Participants learned to use analytics programs and artificial intelligence to complete work in a fraction of the time it usually takes.

For example, students analyzed contracts using AI programs to find errors and areas for improvement across various legal jurisdictions. In another exercise, students learned to use data programs to draft nondisclosure agreements in less than half an hour.

By learning analytics models, students will graduate with the skills to make them more effective — and more employable — professionals.

“As advancing technology and massive data sets enable lawyers to answer complex legal questions with greater speed and efficiency, courses like Legal Analytics will help KU Law students be better advocates for tomorrow’s clients and more competitive for tomorrow’s jobs,” Stephen Mazza, dean of the University of Kansas School of Law, tells Legaltech News.

 

Reflecting that shift, the Law School Admission Council, which organizes and distributes the Law School Admission Test, will be offering the test exclusively on Microsoft Surface Go tablets starting in July 2019.

 

From DSC:
I appreciate the article, thanks Eli. From one of the articles that was linked to, it appears that, “To facilitate the transition to the Digital LSAT starting July 2019, LSAC is procuring thousands of Surface Go tablets that will be loaded with custom software and locked down to ensure the integrity of the exam process and security of the test results.”

 

 

 

 

Why AI is a threat to democracy — and what we can do to stop it — from technologyreview.com by Karen Hao and Amy Webb

Excerpt:

Universities must create space in their programs for hybrid degrees. They should incentivize CS students to study comparative literature, world religions, microeconomics, cultural anthropology and similar courses in other departments. They should champion dual degree programs in computer science and international relations, theology, political science, philosophy, public health, education and the like. Ethics should not be taught as a stand-alone class, something to simply check off a list. Schools must incentivize even tenured professors to weave complicated discussions of bias, risk, philosophy, religion, gender, and ethics in their courses.

One of my biggest recommendations is the formation of GAIA, what I call the Global Alliance on Intelligence Augmentation. At the moment people around the world have very different attitudes and approaches when it comes to data collection and sharing, what can and should be automated, and what a future with more generally intelligent systems might look like. So I think we should create some kind of central organization that can develop global norms and standards, some kind of guardrails to imbue not just American or Chinese ideals inside AI systems, but worldviews that are much more representative of everybody.

Most of all, we have to be willing to think about this much longer-term, not just five years from now. We need to stop saying, “Well, we can’t predict the future, so let’s not worry about it right now.” It’s true, we can’t predict the future. But we can certainly do a better job of planning for it.

 

 

 

 

 

LinkedIn Learning’s 2019 Workplace Learning Report: Key Findings

Excerpt:

In 2019, our survey indicates that talent developers will spend more time finding and closing skills gaps while exploring learner engagement tactics to inspire the modern learner, including the incoming Gen Z workforce.

The shift is on and the stakes are high.

 

 

 

Microsoft built a chat bot to match patients to clinical trials — from fortune.com by Dina Bass

Excerpt:

A chat bot that began as a hackathon project at Microsoft’s lab in Israel makes it easier for sick patients to find clinical trials that could provide otherwise unavailable medicines and therapies.

The Clinical Trials Bot lets patients and doctors search for studies related to a disease and then answer a succession of text questions. The bot then suggests links to trials that best match the patients’ needs. Drugmakers can also use it to find test subjects.

 

Half of all clinical trials for new drugs and therapies never reach the number of patients needed to start, and many others are delayed for the same reason, Bitran said. Meanwhile patients, sometimes desperately sick, find it hard to comb through the roughly 50,000 trials worldwide and their arcane and lengthy criteria—typically 20 to 30 factors. Even doctors struggle to search quickly on behalf of patients, Bitran said.

 

 
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