Artificial Intelligence/Agents/LLMs/and Related

An artificial-intelligence first: Voice-mimicking software reportedly used in a major theft — from washingtonpost.com by Drew Harwell

Excerpt:

Thieves used voice-mimicking software to imitate a company executive’s speech and dupe his subordinate into sending hundreds of thousands of dollars to a secret account, the company’s insurer said, in a remarkable case that some researchers are calling one of the world’s first publicly reported artificial-intelligence heists.

The managing director of a British energy company, believing his boss was on the phone, followed orders one Friday afternoon in March to wire more than $240,000 to an account in Hungary, said representatives from the French insurance giant Euler Hermes, which declined to name the company.

From DSC:
Needless to say, this is very scary stuff here! Now what…? Who in our society should get involved to thwart this kind of thing?

Programmers?
Digital audio specialists?
Legislators?
Lawyers?
The FBI?
Police?
Other?

Addendum on 9/12/19:

Watch Out For That Email From Management: The Latest Scams Targeting Lawyers — from by Hannah Roberts
Several firms have been targeted by phishing scams in recent months, but why are cyber criminals so drawn to law firms and how can management safeguard their businesses?

The Age of AI: How Will In-house Law Departments Run in 10 Years? [Colombo]

On 09/07/2019, in 21st century, analytics, Artificial Intelligence/Agents/LLMs/and Related, bots, Cost of legal services - including access, emerging technologies, ideas, innovation, internet, law schools, legal technologies, legislatures / government / legal, society, by Daniel Christian

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.

After 40 Years of Constant Change, What’s Next for the Legal Industry? — from law.com by Dan Packel
Few could have anticipated the dramatic shift in scope and scale the industry has undergone since The American Lawyer’s founding 40 years ago. We asked some of the law’s brightest thinkers what we can expect over the next 10.

Excerpts (emphasis DSC):

Technology and Upheaval
While it’s easy to conclude that the technological revolution that’s already been unleashed will continue to drive transformation over the next 10 years, it’s harder to pinpoint how.

Expect more and more tasks to become subject to automation—not just contracts and e-discovery but also areas like trademarks and due diligence for mergers, for starters.

Technology and artificial intelligence on their own are noteworthy, but what’s more compelling is the impact they will have on how firms are structured.

“Everything that can be taken out of the hands of subject-matter experts and handed over to the process experts and technologists will be,” says Orrick, Herrington & Sutcliffe Chairman and CEO Mitch Zuklie. “There will be far fewer associates sitting in rooms with documents and more strategic partnerships among law firms and legal tech providers.”

This transition could help chip away at the supremacy of the billable hour.
…
Not only will technology move up the value chain for litigation, it will also emerge as a greater player on the deal side. Jae Um, director of pricing strategy at Baker McKenzie, expects to see a much greater focus on compliance and regulatory technology in the next five years.

As AI solutions, which depend upon machine learning, are slowly deployed in the marketplace, their efficacy will inevitably grow.

How about a little wild speculation to wrap this up? With more nonlawyer specialists finding professional homes in law firms, it’s a short leap to hybrids between law firms and professional services operations. Imagine consultants and accountants working together with lawyers and technologists to solve clients’ increasingly complex problems. And what about a high-profile merger between a Big Four firm and a global law firm? I wouldn’t rule it out.

How Artificial Intelligence and Machine Learning Transforms Video Technology

On 08/29/2019, in A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, digital video, education technology, platforms, storytelling, technology (general), television, tools, by Daniel Christian

How Artificial Intelligence and Machine Learning Transforms Video Technology — from datafloq.com

AI and machine learning have many use cases in digital video technology. Here are several of them…

Reflections on “Uh-oh: Silicon Valley is building a Chinese-style social credit system” [Elgan]

On 08/27/2019, in 24x7x365 access, A/V -- audio/visual, Amazon, Artificial Intelligence/Agents/LLMs/and Related, Asia, cloud-based computing / apps / other cloud-related, corporate / business world, dangers of the status quo, Daniel S. Christian, data related items, emerging technologies, ethics, face-to-face, Facebook / Meta Platforms, future, game-changing environment, generational differences, Google, hearts -- matters of the heart, intelligent systems, internet, law schools, legislatures / government / legal, Microsoft, morals/values, platforms, policy, political science, privacy, society, surviving, the downsides of how people use tech, tools, trends, United States, vendors, by Daniel Christian

Uh-oh: Silicon Valley is building a Chinese-style social credit system — from fastcompany.com by Mike Elgan
In China, scoring citizens’ behavior is official government policy. U.S. companies are increasingly doing something similar, outside the law.

Excerpts (emphasis DSC):

Have you heard about China’s social credit system? It’s a technology-enabled, surveillance-based nationwide program designed to nudge citizens toward better behavior. The ultimate goal is to “allow the trustworthy to roam everywhere under heaven while making it hard for the discredited to take a single step,” according to the Chinese government.

In place since 2014, the social credit system is a work in progress that could evolve by next year into a single, nationwide point system for all Chinese citizens, akin to a financial credit score. It aims to punish for transgressions that can include membership in or support for the Falun Gong or Tibetan Buddhism, failure to pay debts, excessive video gaming, criticizing the government, late payments, failing to sweep the sidewalk in front of your store or house, smoking or playing loud music on trains, jaywalking, and other actions deemed illegal or unacceptable by the Chinese government.
…
IT CAN HAPPEN HERE
Many Westerners are disturbed by what they read about China’s social credit system. But such systems, it turns out, are not unique to China. A parallel system is developing in the United States, in part as the result of Silicon Valley and technology-industry user policies, and in part by surveillance of social media activity by private companies.

Here are some of the elements of America’s growing social credit system.

If current trends hold, it’s possible that in the future a majority of misdemeanors and even some felonies will be punished not by Washington, D.C., but by Silicon Valley. It’s a slippery slope away from democracy and toward corporatocracy.

From DSC:
Who’s to say what gains a citizen points and what subtracts from their score? If one believes a certain thing, is that a plus or a minus? And what might be tied to someone’s score? The ability to obtain food? Medicine/healthcare? Clothing? Social Security payments? Other?

We are giving a huge amount of power to a handful of corporations…trust comes into play…at least for me. Even internally, the big tech co’s seem to be struggling as to the ethical ramifications of what they’re working on (in a variety of areas).

Is the stage being set for a “Person of Interest” Version 2.0?

Amazon, Microsoft, ‘putting world at risk of killer AI’: study

On 08/23/2019, in Amazon, Artificial Intelligence/Agents/LLMs/and Related, emerging technologies, ethics, Europe, law schools, legislatures / government / legal, Microsoft, morals/values, society, the downsides of how people use tech, United States, by Daniel Christian

Amazon, Microsoft, ‘putting world at risk of killer AI’: study — from news.yahoo.com by Issam Ahmed

Excerpt:

Washington (AFP) – Amazon, Microsoft and Intel are among leading tech companies putting the world at risk through killer robot development, according to a report that surveyed major players from the sector about their stance on lethal autonomous weapons.

Dutch NGO Pax ranked 50 companies by three criteria: whether they were developing technology that could be relevant to deadly AI, whether they were working on related military projects, and if they had committed to abstaining from contributing in the future.

“Why are companies like Microsoft and Amazon not denying that they’re currently developing these highly controversial weapons, which could decide to kill people without direct human involvement?” said Frank Slijper, lead author of the report published this week.

Addendum on 8/23/19:

EU reportedly wants strict limits for ‘indiscriminate’ facial recognition — From cnet.com by Katie Collins
Europe could introduce sweeping reforms governing how facial recognition technology can be used.

Armies of delivery robots, drones, pods: Do we really want to create this kind of future?

On 08/22/2019, in Artificial Intelligence/Agents/LLMs/and Related, assistive technologies, corporate / business world, emerging technologies, legislatures / government / legal, platforms, robotics, society, the downsides of how people use tech, tools, trends, by Daniel Christian

Autonomous robot deliveries are coming to 100 university campuses in the U.S. — from digitaltrends.com by Luke Dormehl

Excerpt:

Pioneering autonomous delivery robot company Starship Technologies is coming to a whole lot more university campuses around the U.S. The robotics startup announced that it will expand its delivery services to 100 university campuses in the next 24 months, building on its successful fleets at George Mason University and Northern Arizona University.

Postmates Gets Go-Ahead to Test Delivery Robot in San Francisco — from interestingengineering.com by Donna Fuscaldo
Postmates was granted permission to test a delivery robot in San Francisco.

And add those to ones formerly posted on Learning Ecosystems:

Amazon patents ‘surveillance as a service’ tech for its delivery drones — from theverge.com by Jon Porter
This futuristic driverless pod will soon be delivering pizza in Texas — from digitaltrends.com by Trevor Mogg
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:
I’m grateful for John Muir and for the presidents of the United States who had the vision to set aside land for the national park system. Such parks are precious and provide much needed respite from the hectic pace of everyday life.

Closer to home, I’m grateful for what my parents’ vision was for a place to help bring the families together through the years. A place that’s peaceful, quiet, surrounded by nature and community.

So I wonder what kind of legacy the current generations are beginning to create? That is…do we really want to be known as the generations who created the unchecked chaotic armies of delivery drones, delivery robots, driverless pods, etc. to fill the skies, streets, sidewalks, and more?

I don’t. That’s not a gift to our kids or grandkids…not at all.

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

Google: Gmail’s new AI spelling, grammar checks help you avoid email blunders — from zdnet.com by Liam Tung
Gmail on G Suite gains new AI-assisted spellcheck and grammar features.

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

Reflections on “Why AIoT Is Emerging As The Future Of Industry 4.0” [Janakiram MSV]

On 08/15/2019, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, emerging technologies, ethics, platforms, society, tools, by Daniel Christian

Why AIoT Is Emerging As The Future Of Industry 4.0 — from forbes.com by Janakiram MSV]

Excerpts:

“By combining AI with industrial IoT, we add an important ability 2connected systems – Act.”

AI goes beyond the visualizations by acting on the patterns and correlations from the telemetry data. It plugs the critical gap by taking appropriate actions based on the data. Instead of just presenting the facts to humans to enable them to act, AI closes the loop by automatically taking an action. It essentially becomes the brain of the connected systems.

The future of industrial automation lies in the convergence of AI and IoT. Artificial Intelligence of Things will impact almost every industry verticle including automotive, aviation, finance, healthcare, manufacturing and supply chain.

From DSC:
I’ve often wondered which emerging technologies will be combined with each other to produce something powerful. According to the article referenced above, AI + IoT = AIoT is something to put on the radar. I’m not at all crazy about the word “lethal” being used in this article/context though — I certainly hope that’s not the case.

Also relevant/see:

The list of ethical guidelines for AI is growing rapidly — from eiuperspectives.economist.com

Artificial intelligence (AI) has, of late, been the subject of so many announcements, proclamations, predictions and premonitions that it could occupy its own 24-hour cable news channel. In technology circles, it has become a kind of holy grail, akin to fire, the wheel or the steam engine in terms of world-changing potential. Whether these forecasts come to pass is still an open question. What is less in doubt are the vast ethical ramifications of AI development and use, and the need to address them before AI becomes a part of everyday life.

5 important AI predictions (for 2019) everyone should read [Marr]

On 08/13/2019, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, career development, change, corporate / business world, emerging technologies, platforms, society, workplace, by Daniel Christian

5 important artificial intelligence predictions (for 2019) everyone should read — from forbes.com by Bernard Marr

Excerpts:

AI increasingly becomes a matter of international politics
A move towards “transparent AI”
AI and automation drilling deeper into every business
More jobs will be created by AI than will be lost to it (for the next year at least)
AI assistants will become truly useful

“…these tensions could compromise the spirit of cooperation between academic and industrial organizations across the world.”

“AI solutions for managing compliance and legal issues are also likely to be increasingly adopted. As these tools will often be fit-for-purpose across a number of organizations, they will increasingly be offered as-a-service…”

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