Someone is always listening — from Future Today Institute

Excerpt:

Very Near-Futures Scenarios (2020 – 2022):

  • OptimisticBig tech and consumer device industries agree to a single set of standards to inform people when they are being listened to. Devices now emit an audible ping and/ or a visible light anytime they are actively recording sound. While they need to store data in order to improve natural language understanding and other important AI systems, consumers now have access to a portal and can see, listen to, and erase their data at any time. In addition, consumers can choose to opt-out of storing their data to help improve AI systems.
  • Pragmatic: Big tech and consumer device industries preserve the status quo, which leads to more cases of machine eavesdropping and erodes public trust. Federal agencies open investigations into eavesdropping practices, which leads to a drop in share prices and a concern that more advanced biometric technologies could face debilitating regulation.
  • CatastrophicBig tech and consumer device industries collect and store our conversations surreptitiously while developing new ways to monetize that data. They anonymize and sell it to developers wanting to create their own voice apps or to research institutions wanting to do studies using real-world conversation. Some platforms develop lucrative fee structures allowing others access to our voice data: business intelligence firms, market research agencies, polling agencies, political parties and individual law enforcement organizations. Consumers have little to no ability to see and understand how their voice data are being used and by whom. Opting out of collection systems is intentionally opaque. Trust erodes. Civil unrest grows.

Action Meter:

 

Watchlist:

  • Google; Apple; Amazon; Microsoft; Salesforce; BioCatch; CrossMatch; ThreatMetrix; Electronic Frontier Foundation; World Privacy Forum; American Civil Liberties Union; IBM; Baidu; Tencent; Alibaba; Facebook; Electronic Frontier Foundation; European Union; government agencies worldwide.

 

 

What enterprises intend to do with artificial intelligence — from zdnet.com by Joe McKendrick
Survey shows business process automation and customer support are the low-hanging fruit with initial AI rollouts, but many organizations are moving on to tackle data analytics.

Excerpt:

The leading categories of use cases seeing AI investments and work include the following:

  • Business process automation 49%
  • Customer support/Chatbots 47%
  • Data extraction 43%
  • Contract analytics 28%
  • Voice/video processing/imaging 25%

 

 

Technology as Part of the Culture for Legal Professionals -- a Q&A with Mary Grush and Daniel Christian

 


Technology as Part of the Culture for Legal Professionals A Q&A with Daniel Christian — from campustechnology.com by Mary Grush and Daniel Christian

Excerpt (emphasis DSC):

Mary Grush: Why should new technologies be part of a legal education?

Daniel Christian: I think it’s a critical point because our society, at least in the United States — and many other countries as well — is being faced with a dramatic influx of emerging technologies. Whether we are talking about artificial intelligence, blockchain, Bitcoin, chatbots, facial recognition, natural language processing, big data, the Internet of Things, advanced robotics — any of dozens of new technologies — this is the environment that we are increasingly living in, and being impacted by, day to day.

It is so important for our nation that legal professionals — lawyers, judges, attorney generals, state representatives, and legislators among them — be up to speed as much as possible on the technologies that surround us: What are the issues their clients and constituents face? It’s important that legal professionals regularly pulse check the relevant landscapes to be sure that they are aware of the technologies that are coming down the pike. To help facilitate this habit, technology should be part of the culture for those who choose a career in law. (And what better time to help people start to build that habit than within the law schools of our nation?)

 

There is a real need for the legal realm to catch up with some of these emerging technologies, because right now, there aren’t many options for people to pursue. If the lawyers, and the legislators, and the judges don’t get up to speed, the “wild wests” out there will continue until they do.

 


 

The Age of AI: How Will In-house Law Departments Run in 10 Years? — from accdocket.com by Elizabeth Colombo

Excerpt:

2029 may feel far away right now, but all of this makes me wonder what in-house law might look like in 10 years. What will in-house law be like in an age of artificial intelligence (AI)? This article will look at how in-house law may be different in 10 years, focusing largely on anticipated changes to contract review and negotiation, and the workplace.

 

Also see:
A Primer on Using Artificial Intelligence in the Legal Profession — from jolt.law.harvard.edu by Lauri Donahue (2018)

Excerpt (emphasis DSC):

How Are Lawyers Using AI?
Lawyers are already using AI to do things like reviewing documents during litigation and due diligence, analyzing contracts to determine whether they meet pre-determined criteria, performing legal research, and predicting case outcomes.


Document Review

Analyzing Contracts

Legal Research

Predicting Results
Lawyers are often called upon to predict the future: If I bring this case, how likely is it that I’ll win — and how much will it cost me? Should I settle this case (or take a plea), or take my chances at trial? More experienced lawyers are often better at making accurate predictions, because they have more years of data to work with.

However, no lawyer has complete knowledge of all the relevant data.

Because AI can access more of the relevant data, it can be better than lawyers at predicting the outcomes of legal disputes and proceedings, and thus helping clients make decisions. For example, a London law firm used data on the outcomes of 600 cases over 12 months to create a model for the viability of personal injury cases. Indeed, trained on 200 years of Supreme Court records, an AI is already better than many human experts at predicting SCOTUS decisions.

 

Google brings AI to studying with Socratic — from zdnet.com by Stephanie Condon
Ahead of the new school year, Google is re-launching a mobile learning app it acquired last year.

Excerpt:

Google this week started rolling out a revamped version of a mobile learning app, called Socratic, that the tech giant acquired last year. The updated app, with new machine learning-powered features, coincides with the start of the school year, as well as other Google for Education initiatives.

Socratic aims to help both high school and university students in their studies outside of the classroom. If students need help answering a study question, they can now use the Socratic app to ask a question with their voice, or to take a picture of a question in their study materials. The app will then find relevant material from across the web.

 

Also see:

  • The School of Tomorrow Will Revolve Around AI — from datafloq.com
    Excerpt:
    We live in exponential times, and merely having a digital strategy focused on continuous innovation is no longer enough to thrive in a constantly changing world. To transform an organisation and contribute to building a secure and rewarding networked society, collaboration among employees, customers, business units and even things is increasingly becoming key.Especially with the availability of new technologies such as artificial intelligence, organisations now, more than ever before, need to focus on bringing together the different stakeholders to co-create the future. Big data empowers customers and employees, the Internet of Things will create vast amounts of data and connects all devices, while artificial intelligence creates new human-machine interactions. In today’s world, every organisation is a data organisation, and AI is required to make sense of it all.

Addendum on 8/23/19

 

AI is in danger of becoming too male — new research — from singularityhub.com by Juan Mateos-Garcia and Joysy John

Excerpts (emphasis DSC):

But current AI systems are far from perfect. They tend to reflect the biases of the data used to train them and to break down when they face unexpected situations.

So do we really want to turn these bias-prone, brittle technologies into the foundation stones of tomorrow’s economy?

One way to minimize AI risks is to increase the diversity of the teams involved in their development. As research on collective decision-making and creativity suggests, groups that are more cognitively diverse tend to make better decisions. Unfortunately, this is a far cry from the situation in the community currently developing AI systems. And a lack of gender diversity is one important (although not the only) dimension of this.

A review published by the AI Now Institute earlier this year showed that less than 20 percent of the researchers applying to prestigious AI conferences are women, and that only a quarter of undergraduates studying AI at Stanford and the University of California at Berkeley are female.

 


From DSC:
My niece just left a very lucrative programming job and managerial role at Microsoft after working there for several years. As a single woman, she got tired of fighting the culture there. 

It was again a reminder to me that there are significant ramifications to the cultures of the big tech companies…especially given the power of these emerging technologies and the growing influence they are having on our culture.


Addendum on 8/20/19:

  • Google’s Hate Speech Detection A.I. Has a Racial Bias Problem — from fortunes.com by Jonathan Vanian
    Excerpt:
    A Google-created tool that uses artificial intelligence to police hate speech in online comments on sites like the New York Times has become racially biased, according to a new study. The tool, developed by Google and a subsidiary of its parent company, often classified comments written in the African-American vernacular as toxic, researchers from the University of Washington, Carnegie Mellon, and the Allen Institute for Artificial Intelligence said in a paper presented in early August at the Association for Computational Linguistics conference in Florence, Italy.
    .
  • On the positive side of things:
    Number of Female Students, Students of Color Tackling Computer Science AP on the Rise — from thejournal.com
 

What will happen when 28 billion devices are connected online? — from fastcompany.com
The Internet of Things is already well on its way. Here’s how it will impact our future.

Excerpt:

The Internet of Things (IoT) is the network that connects a staggering array of devices, from household appliances to factory machines. During a panel discussion at Cisco Live 2019 in June, two leading figures in IoT shared their thoughts on this rapidly evolving technology that has already transformed the world.

 

Pearson moves away from print textbooks — from campustechnology.com by Rhea Kelly

Excerpt:

All of Pearson’s 1,500 higher education textbooks in the U.S. will now be “digital first.” The company announced its big shift away from print today, calling the new approach a “product as a service model and a generational business shift to be much more like apps, professional software or the gaming industry.”

The digital format will allow Pearson to update textbooks on an ongoing basis, taking into account new developments in the field of study, new technologies, data analytics and efficacy research, the company said in a news announcement. The switch to digital will also lower the cost for students: The average e-book price will be $40, or $79 for a “full suite of digital learning tools.”

 

Top 10 Digital Transformation Trends For 2020 –from forbes.com by Daniel Newman

Excerpt (emphasis DSC):

A faster WiFi for a faster world: Although WiFi 6 and 5G are completely different technologies, both will be bringing us much faster processing and wireless connection speeds in 2020. 5G and WiFi 6 working in concert will create the perfect end-to-end combination of ultra-fast connectivity for home and office. Expect download speeds up to 3x faster than were achievable with WiFi 5, but that isn’t the best measure of the new standard’s value. The real value of WiFi 6 will be its ability to extend faster data speeds to far more devices than WiFi 5 was able to manage.

 

Penn State World Campus Taps Google Cloud to Build Virtual Advising Assistant — from campustechnology.com by Rhea Kelly

Excerpt:

At the start of the spring 2020 semester this January, Penn State World Campus will have a new artificial intelligence tool for answering the most common requests from its undergraduate students. A virtual assistant will help academic advisers at the online institution screen student e-mails for certain keywords and phrases, and then automatically pull relevant information for the advisers to send to students. For instance, the AI will be trained to assist advisers when students inquire how to change their major, change their Penn State campus, re-enroll in the university or defer their semester enrollment date, according to a news announcement.

 
 

From DSC:
First of all, a couple of articles:

This futuristic driverless pod will soon be delivering pizza in Texas — from digitaltrends.com by Trevor Mogg

Excerpt:

Global pizza purveyor Domino’s is planning to use self-driving pods to deliver its cheesy meals to hungry customers. The food company is partnering with California-based tech startup Nuro for a trial service in Houston, Texas later this year.

 

 

Amazon is creating detailed 3D models of suburbia to train its new delivery robots — from theverge.com by James Vincent
‘Eventually, we’ll be delivering around the world.’

 

 

From DSC:
Instead of Amazon having their army of robots/drones, Domino’s having their army of driverless pods, etc…perhaps we should think about how we want this all to unfold in the future — especially with an eye on what the world will be like for future generations.

 

“The company won’t say where or when it plans to expand these tests…”

 

From DSC:
It should NOT be Amazon’s decision (nor Domino’s decision, nor any other company’s decision) to expand any tests here! It should be up to citizens to weigh in on what we want our future to look like before any such endeavors are allowed to move forward another inch.

 

 

 Also see:

Microsoft is building a virtual assistant for work. Google is building one for everything else — from qz.com by Dave Gershgorn

Excerpts:

In the early days of virtual personal assistants, the goal was to create a multipurpose digital buddy—always there, ready to take on any task. Now, tech companies are realizing that doing it all is too much, and instead doubling down on what they know best.

Since the company has a deep understanding of how organizations work, Microsoft is focusing on managing your workday with voice, rearranging meetings and turning the dials on the behemoth of bureaucracy in concert with your phone.

 

Voice is the next major platform, and being first to it is an opportunity to make the category as popular as Apple made touchscreens. To dominate even one aspect of voice technology is to tap into the next iteration of how humans use computers.

 

 

From DSC:
What affordances might these developments provide for our future learning spaces?

Will faculty members’ voices be recognized to:

  • Sign onto the LMS?
  • Dim the lights?
  • Turn on the projector(s) and/or display(s)?
  • Other?

Will students be able to send the contents of their mobile devices to particular displays via their voices?

Will voice be mixed in with augmented reality (i.e., the students and their devices can “see” which device to send their content to)?

Hmmm…time will tell.

 

 

INSIGHT: Ten ways machine learning will transform the practice of law — from news.bloomberglaw.com by Caroline Sweeney
Law firms are increasingly using machine learning and artificial intelligence, which have become standard in document review. Dorsey & Whitney’s Caroline Sweeney says any firm that wants to stay competitive should get on board now and gives examples for use and best practices.

 

 

‘Robots’ Are Not ‘Coming for Your Job’—Management Is — from gizmodo.com by Brian Merchant; with a special thanks going out to Keesa Johnson for her posting this out on LinkedIn

A robot is not ‘coming for’, or ‘stealing’ or ‘killing’ or ‘threatening’ to take away your job. Management is.

Excerpt (emphasis DSC):

At first glance, this might like a nitpicky semantic complaint, but I assure you it’s not—this phrasing helps, and has historically helped, mask the agency behind the *decision* to automate jobs. And this decision is not made by ‘robots,’ but management. It is a decision most often made with the intention of saving a company or institution money by reducing human labor costs (though it is also made in the interests of bolstering efficiency and improving operations and safety). It is a human decision that ultimately eliminates the job.

 

From DSC:
I’ve often said that if all the C-Suite cares about is maximizing profits — instead of thinking about their fellow humankind and society as a whole —  we’re in big trouble.

If the thinking goes, “Heh — it’s just business!” <– Again, then we’re in big trouble here.

Just because we can, should we? Many people should be reflecting upon this question…and not just members of the C-Suite.

 

 

 
© 2024 | Daniel Christian