From DSC:
A couple of somewhat scary excerpts from Meet Hemingway: The Artificial Intelligence Robot That Can Copy Your Handwriting (from forbes.com by Bernard Marr):

The Handwriting Company now has a robot that can create beautifully handwritten communication that mimics the style of an individual’s handwriting while a robot from Brown University can replicate handwriting from a variety of languages even though it was just trained on Japanese characters.

Hemingway is The Handwriting Company’s robot that can mimic anyone’s style of handwriting. All that Hemingway’s algorithm needs to mimic an individual’s handwriting is a sample of handwriting from that person.

 

From DSC:
So now there are folks out there that can generate realistic “fakes” using videos, handwriting, audio and more. Super. Without technologies to determine such fakes, things could get ugly…especially as we approach a presidential election next year. I’m trying not to be negative, but it’s hard when the existence of fakes is a serious topic and problem these days.

 

Addendum on 7/5/19:
AI poised to ruin Internet using “massive tsunami” of fake news — from futurism.com

“Because [AI systems] enable content creation at essentially unlimited scale, and content that humans and search engines alike will have difficulty discerning… we feel it is an incredibly important topic with far too little discussion currently,” Tynski told The Verge.

 

What's the future of law?

Excerpts:

There’s no crystal ball for the legal industry, just as there’s none for life. That said, industry trends don’t arise out of the ether — they develop over time. These trends collectively form the basis for estimations about what the future of the legal industry will look like.

These industry insiders have studied the trends, and they lent us their insights into the future of law. Take a look:

 

#AI #legaloperations #legal #lawfirms #lawyers #lawschools #legaltech #disruption #paceofchange

From DSC:
In looking through these perspectives, one can often see the topics of emerging technologies, changing client expectations, and changing business models.

 

Addendum on 7/1/19:

What Does 2019 Hold for Legal AI? — from law.com by Emily Foges
What developments can we expect in the next year? Where and in what new ways will AI tools be deployed?

 Just as accountants no longer imagine life without excel, lawyers will soon be unable to imagine their day-to-day without AI.

Technology should be seen to work seamlessly in tandem with the lawyers, surfacing relevant and pertinent information which the lawyer then decides to act on.

 

 

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.

 

From DSC:
Are you kidding me!? Geo-fencing technology or not, I don’t trust this for one second.


Amazon patents ‘surveillance as a service’ tech for its delivery drones — from theverge.com by Jon Porter
Including technology that cuts out footage of your neighbor’s house

Excerpt:

The patent gives a few hints how the surveillance service could work. It says customers would be allowed to pay for visits on an hourly, daily, or weekly basis, and that drones could be equipped with night vision cameras and microphones to expand their sensing capabilities.

 

From DSC:
I just ran across this recently…what do you think of it?!

 

 

From DSC:
For me, this is extremely disturbing. And if I were a betting man, I’d wager that numerous nations/governments around the world — most certainly that includes the U.S. — have been developing new weapons of warfare for years that are based on artificial intelligence, robotics, automation, etc.

The question is, now what do we do?

Some very hard questions that numerous engineers and programmers need to be asking themselves these days…

By the way, the background audio on the clip above should either be non-existent or far more ominous — this stuff is NOT a joke.

Also see this recent posting. >>

 

Addendum on 6/26/19:

 

Experts in machine learning and military technology say it would be technologically straightforward to build robots that make decisions about whom to target and kill without a “human in the loop” — that is, with no person involved at any point between identifying a target and killing them. And as facial recognition and decision-making algorithms become more powerful, it will only get easier.

 

 

Russian hackers behind ‘world’s most murderous malware’ probing U.S. power grid — from digitaltrends.com Georgina Torbet

 

U.S. Escalates Online Attacks on Russia’s Power Grid — from nytimes.com by David Sanger and Nicole Perlroth

 

 

 

 

 

We’ve been warned about AI and music for over 50 years, but no one’s prepared — from theverge.com by Dani Deahl
‘This road is literally being paved as we’re walking on it’

Excerpt:

AI is capable of making music, but does that make AI an artist? As AI begins to reshape how music is made, our legal systems are going to be confronted w/ some messy questions regarding authorship.

 

 law will also have to contend with the bigger issue of authorship. That is, can an AI system claim legal authorship of the music it produces, or does that belong to the humans who created the software?

 

“Access to Justice” – the first open access issue of Dædalus — from amacad.org

Excerpt:

“Access to Justice” – the first open access issue of Dædalus – features twenty-four essays that examine the national crisis in civil legal services facing poor and low-income Americans: from the challenges of providing quality legal assistance to more people, to the social and economic costs of an often unresponsive legal system, to the opportunities for improvement offered by new technologies, professional innovations, and fresh ways of thinking about the crisis.

 

How surveillance cameras could be weaponized with A.I. — from nytimes.com by Niraj Chokshi
Advances in artificial intelligence could supercharge surveillance cameras, allowing footage to be constantly monitored and instantly analyzed, the A.C.L.U. warned in a new report.

Excerpt:

In the report, the organization imagined a handful of dystopian uses for the technology. In one, a politician requests footage of his enemies kissing in public, along with the identities of all involved. In another, a life insurance company offers rates based on how fast people run while exercising. And in another, a sheriff receives a daily list of people who appeared to be intoxicated in public, based on changes to their gait, speech or other patterns.

Analysts have valued the market for video analytics at as much as $3 billion, with the expectation that it will grow exponentially in the years to come. The important players include smaller businesses as well as household names such as Amazon, Cisco, Honeywell, IBM and Microsoft.

 

From DSC:
We can no longer let a handful of companies tell the rest of us how our society will be formed/shaped/act. 

For example, Amazon should NOT be able to just send its robots/drones to deliver packages — that type of decision is NOT up to them. I have a suspicion that Amazon cares more about earning larger profits and pleasing Wall Street rather than being concerned with our society at large. If Amazon is able to introduce their robots all over the place, what’s to keep any and every company from introducing their own army of robots or drones? If we allow this to occur, it won’t be long before our streets, sidewalks, and air spaces are filled with noise and clutter.

So…a  question for representatives, senators, legislators, mayors, judges, lawyers, etc.:

  • What should we be building in order to better allow citizens to weigh in on emerging technologies and whether any given emerging technology — or a specific product/service — should be rolled out…or not? 

 

 

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.

 

 

This state is expected to become the first to collect prosecutor data, with breakdowns by race — from abajournal.com by Debra Cassens Weiss

Excerpt:

Connecticut is expected to become the first state to collect statewide criminal case data from prosecutors broken down by the defendants’ race, sex, ethnicity, age and ZIP code.

The bill requires the state to collect statistics on arrests, diversionary programs, case dispositions, plea agreements, cases going to trial, court fines and fees, and restitution orders.

Lamont said the bill will provide the public with greater insight into prosecutors’ decisions. “

 

 

8 industrial IoT trends of 2019 that cannot be ignored — from datafloq.com

Excerpt:

From manufacturing to the retail sector, the infinite applications of the industrial internet of things are disrupting business processes, thereby improving operational efficiency and business competitiveness. The trend of employing IoT-powered systems for supply chain management, smart monitoring, remote diagnosis, production integration, inventory management, and predictive maintenance is catching up as companies take bold steps to address a myriad of business problems.

No wonder, the global technology spend on IoT is expected to reach USD 1.2 trillion by 2022. The growth of this segment will be driven by firms deploying IIoT solutions and giant tech organizations who are developing these innovative solutions.

To help you stay ahead of the curve, we have enlisted a few trends that will dominate the industrial IoT sphere.

 

5. 5G Will Drive Real-Time IIoT Applications
5G deployments are digitizing the industrial domain and changing the way enterprises manage their business operations. Industries, namely transportation, manufacturing, healthcare, energy and utilities, agriculture, retail, media, and financial services will benefit from the low latency and high data transfer speed of 5G mobile networks.

 

State Attempts to Nix Public School’s Facial Recognition Plans — from futurism.com by Kristin Houser
But it might not have the authority to actually stop an upcoming trial.

Excerpt (emphasis DSC):

Chaos Reigns
New York’s Lockport City School District (CSD) was all set to become the first public school district in the U.S. to test facial recognition on its students and staff. But just two days after the school district’s superintendent announced the project’s June 3 start date, the New York State Education Department (NYSED) attempted to put a stop to the trial, citing concerns for students’ privacy. Still, it’s not clear whether the department has the authority to actually put the project on hold — *****the latest sign that the U.S. is in desperate need of clear-cut facial recognition legislation.*****

 

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?

 

 
© 2024 | Daniel Christian