7 Internet of Things examples that are super futuristic— from blog.hubspot.com by Caroline Forsey
Spray-on antennas will revolutionize the Internet of Things — from networkworld.com
Researchers at Drexel University have developed a method to spray on antennas that outperform traditional metal antennas, opening the door to faster and easier IoT deployments.
7 ways to keep your smart home from being hacked — from marketwatch.com
An open letter to Microsoft and Google’s Partnership on AI — from wired.com by Gerd Leonhard
In a world where machines may have an IQ of 50,000, what will happen to the values and ethics that underpin privacy and free will?
Excerpt:
This open letter is my modest contribution to the unfolding of this new partnership. Data is the new oil – which now makes your companies the most powerful entities on the globe, way beyond oil companies and banks. The rise of ‘AI everywhere’ is certain to only accelerate this trend. Yet unlike the giants of the fossil-fuel era, there is little oversight on what exactly you can and will do with this new data-oil, and what rules you’ll need to follow once you have built that AI-in-the-sky. There appears to be very little public stewardship, while accepting responsibility for the consequences of your inventions is rather slow in surfacing.
In a world where machines may have an IQ of 50,000 and the Internet of Things may encompass 500 billion devices, what will happen with those important social contracts, values and ethics that underpin crucial issues such as privacy, anonymity and free will?
My book identifies what I call the “Megashifts”. They are changing society at warp speed, and your organisations are in the eye of the storm: digitization, mobilisation and screenification, automation, intelligisation, disintermediation, virtualisation and robotisation, to name the most prominent. Megashifts are not simply trends or paradigm shifts, they are complete game changers transforming multiple domains simultaneously.
If the question is no longer about if technology can do something, but why…who decides this?
Gerd Leonhard
From DSC:
Though this letter was written 2 years ago back in October of 2016, the messages, reflections, and questions that Gerd puts on the table are very much still relevant today. The leaders of these powerful companies have enormous power — power to do good, or to do evil. Power to help or power to hurt. Power to be a positive force for societies throughout the globe and to help create dreams, or power to create dystopian societies while developing a future filled with nightmares. The state of the human heart is extremely key here — though many will hate me saying that. But it’s true. At the end of the day, we need to very much care about — and be extremely aware of — the characters and values of the leaders of these powerful companies.
Also relevant/see:
Spray-on antennas will revolutionize the Internet of Things — from networkworld.com by Patrick Nelson
Researchers at Drexel University have developed a method to spray on antennas that outperform traditional metal antennas, opening the door to faster and easier IoT deployments.
From DSC:
Again, it’s not too hard to imagine in this arena that technologies can be used for good or for ill.
California enacts first law regulating Internet of Things devices — from iplawtrends.com by David Rice with thanks to my friend Justin Wagner for posting this on LinkedIn
Excerpt:
California has enacted the nation’s first law regulating Internet of Things (IoT) devices, which was signed by Governor Jerry Brown on September 28, 2018. IoT refers to the rapidly-expanding world of internet-connected objects such as home security systems, video monitors, enterprise devices that track packages and vehicles, health monitors, connected cars, smart city devices that manage traffic congestion, and smart meters for utilities.
IoT devices promise to bring efficiencies to a broad range of industries and improve lives. But these devices also collect vast troves of information, and this raises data security and privacy concerns. In 2016, a distributed denial of service (DDoS) attack on the internet infrastructure company Dyn was powered by millions of hacked IoT devices such as web cameras and connected refrigerators. Hackers have used baby monitors to view inside homes, with a prominent recent example being the widely-deployed Mi-Cam baby monitor. If hackers are able to get into critical IoT systems in first responder networks, then there could be public safety risks.
The law states that having a unique preprogrammed password for each IoT device or requiring the user to generate a new means of authentication before access to the device is granted for the first time is deemed to be a reasonable security feature.
10 jobs that are safe in an AI world — from linkedin.com by Kai-Fu Lee
Excerpts:
Teaching
AI will be a great tool for teachers and educational institutions, as it will help educators figure out how to personalize curriculum based on each student’s competence, progress, aptitude, and temperament. However, teaching will still need to be oriented around helping students figure out their interests, teaching students to learn independently, and providing one-on-one mentorship. These are tasks that can only be done by a human teacher. As such, there will still be a great need for human educators in the future.
Criminal defense law
Top lawyers will have nothing to worry about when it comes to job displacement. reasoning across domains, winning the trust of clients, applying years of experience in the courtroom, and having the ability to persuade a jury are all examples of the cognitive complexities, strategies, and modes of human interaction that are beyond the capabilities of AI. However, a lot of paralegal and preparatory work like document review, analysis, creating contracts, handling small cases, packing cases, and coming up with recommendations can be done much better and more efficiently with AI. The costs of law make it worthwhile for AI companies to go after AI paralegals and AI junior lawyers, but not top lawyers.
From DSC:
In terms of teaching, I agree that while #AI will help personalize learning, there will still be a great need for human teachers, professors, and trainers. I also agree w/ my boss (and with some of the author’s viewpoints here, but not all) that many kinds of legal work will still need the human touch & thought processes. I diverge from his thinking in terms of scope — the need for human lawyers will go far beyond just lawyers involved in crim law.
Also see:
15 business applications for artificial intelligence and machine learning — from forbes.com
Excerpt:
Fifteen members of Forbes Technology Council discuss some of the latest applications they’ve found for AI/ML at their companies. Here’s what they had to say…
How AI could help solve some of society’s toughest problems — from technologyreview.com by Charlotte Jee
Machine learning and game theory help Carnegie Mellon assistant professor Fei Fang predict attacks and protect people.
Excerpt:
Fei Fang has saved lives. But she isn’t a lifeguard, medical doctor, or superhero. She’s an assistant professor at Carnegie Mellon University, specializing in artificial intelligence for societal challenges.
At MIT Technology Review’s EmTech conference on Wednesday, Fang outlined recent work across academia that applies AI to protect critical national infrastructure, reduce homelessness, and even prevent suicides.
How AI can be a force for good — from science.sciencemag.org by Mariarosaria Taddeo & Luciano Floridi
Excerpts:
Invisibility and Influence
AI supports services, platforms, and devices that are ubiquitous and used on a daily basis. In 2017, the International Federation of Robotics suggested that by 2020, more than 1.7 million new AI-powered robots will be installed in factories worldwide. In the same year, the company Juniper Networks issued a report estimating that, by 2022, 55% of households worldwide will have a voice assistant, like Amazon Alexa.
As it matures and disseminates, AI blends into our lives, experiences, and environments and becomes an invisible facilitator that mediates our interactions in a convenient, barely noticeable way. While creating new opportunities, this invisible integration of AI into our environments poses further ethical issues. Some are domain-dependent. For example, trust and transparency are crucial when embedding AI solutions in homes, schools, or hospitals, whereas equality, fairness, and the protection of creativity and rights of employees are essential in the integration of AI in the workplace. But the integration of AI also poses another fundamental risk: the erosion of human self-determination due to the invisibility and influencing power of AI.
…
To deal with the risks posed by AI, it is imperative to identify the right set of fundamental ethical principles to inform the design, regulation, and use of AI and leverage it to benefit as well as respect individuals and societies. It is not an easy task, as ethical principles may vary depending on cultural contexts and the domain of analysis. This is a problem that the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems tackles with the aim of advancing public debate on the values and principles that should underpin ethical uses of AI.
Who’s to blame when a machine botches your surgery? — from qz.com by Robert Hart
Excerpt:
That’s all great, but even if an AI is amazing, it will still fail sometimes. When the mistake is caused by a machine or an algorithm instead of a human, who is to blame?
This is not an abstract discussion. Defining both ethical and legal responsibility in the world of medical care is vital for building patients’ trust in the profession and its standards. It’s also essential in determining how to compensate individuals who fall victim to medical errors, and ensuring high-quality care. “Liability is supposed to discourage people from doing things they shouldn’t do,” says Michael Froomkin, a law professor at the University of Miami.
Google Cloud’s new AI chief is on a task force for AI military uses and believes we could monitor ‘pretty much the whole world’ with drones — from businessinsider.in by Greg Sandoval
Excerpt:
“We could afford if we wanted to, and if we needed, to be surveilling pretty much the whole word with autonomous drones of various kinds,” Moore said. “I’m not saying we’d want to do that, but there’s not a technology gap there where I think it’s actually too difficult to do. This is now practical.”
…
Google’s decision to hire Moore was greeted with displeasure by at least one former Googler who objected to Project Maven.
“It’s worrisome to note after the widespread internal dissent against Maven that Google would hire Andrew Moore,” said one former Google employee. “Googlers want less alignment with the military-industrial complex, not more. This hire is like a punch in the face to the over 4,000 Googlers who signed the Cancel Maven letter.”
Organizations Are Gearing Up for More Ethical and Responsible Use of Artificial Intelligence, Finds Study — from businesswire.com
Ninety-two percent of AI leaders train their technologists in ethics; 74 percent evaluate AI outcomes weekly, says report from SAS, Accenture Applied Intelligence, Intel, and Forbes Insights
Excerpt:
AI oversight is not optional
Despite popular messages suggesting AI operates independently of human intervention, the research shows that AI leaders recognize that oversight is not optional for these technologies. Nearly three-quarters (74 percent) of AI leaders reported careful oversight with at least weekly review or evaluation of outcomes (less successful AI adopters: 33 percent). Additionally, 43 percent of AI leaders shared that their organization has a process for augmenting or overriding results deemed questionable during review (less successful AI adopters: 28 percent).
Do robots have rights? Here’s what 10 people and 1 robot have to say — from createdigital.org.au
When it comes to the future of technology, nothing is straightforward, and that includes the array of ethical issues that engineers encounter through their work with robots and AI.
How AI could help solve some of society’s toughest problems — from MIT Tech Review by Charlotte Jee
Machine learning and game theory help Carnegie Mellon assistant professor Fei Fang predict attacks and protect people.
Excerpt:
At MIT Technology Review’s EmTech conference, Fang outlined recent work across academia that applies AI to protect critical national infrastructure, reduce homelessness, and even prevent suicides.
Google Cloud’s new AI chief is on a task force for AI military uses and believes we could monitor ‘pretty much the whole world’ with drones — from businessinsider.in by Greg Sandoval
How AI can be a force for good — from science.sciencemag.org
Excerpt:
The AI revolution is equally significant, and humanity must not make the same mistake again. It is imperative to address new questions about the nature of post-AI societies and the values that should underpin the design, regulation, and use of AI in these societies. This is why initiatives like the abovementioned AI4People and IEEE projects, the European Union (EU) strategy for AI, the EU Declaration of Cooperation on Artificial Intelligence, and the Partnership on Artificial Intelligence to Benefit People and Society are so important (see the supplementary materials for suggested further reading). A coordinated effort by civil society, politics, business, and academia will help to identify and pursue the best strategies to make AI a force for good and unlock its potential to foster human flourishing while respecting human dignity.
Ethical regulation of the design and use of AI is a complex but necessary task. The alternative may lead to devaluation of individual rights and social values, rejection of AI-based innovation, and ultimately a missed opportunity to use AI to improve individual wellbeing and social welfare.
Robot wars — from ethicaljournalismnetwork.org by James Ball
How artificial intelligence will define the future of news
Excerpt:
There are two paths ahead in the future of journalism, and both of them are shaped by artificial intelligence.
The first is a future in which newsrooms and their reporters are robust: Thanks to the use of artificial intelligence, high-quality reporting has been enhanced. Not only do AI scripts manage the writing of simple day-to-day articles such as companies’ quarterly earnings updates, they also monitor and track masses of data for outliers, flagging these to human reporters to investigate.
Beyond business journalism, comprehensive sports stats AIs keep key figures in the hands of sports journalists, letting them focus on the games and the stories around them. The automated future has worked.
The alternative is very different. In this world, AI reporters have replaced their human counterparts and left accountability journalism hollowed out. Facing financial pressure, news organizations embraced AI to handle much of their day-to-day reporting, first for their financial and sports sections, then bringing in more advanced scripts capable of reshaping wire copy to suit their outlet’s political agenda. A few banner hires remain, but there is virtually no career path for those who would hope to replace them ? and stories that can’t be tackled by AI are generally missed.
Who’s to blame when a machine botches your surgery? — from qz.com by Robert Hart
Excerpt:
That’s all great, but even if an AI is amazing, it will still fail sometimes. When the mistake is caused by a machine or an algorithm instead of a human, who is to blame?
This is not an abstract discussion. Defining both ethical and legal responsibility in the world of medical care is vital for building patients’ trust in the profession and its standards. It’s also essential in determining how to compensate individuals who fall victim to medical errors, and ensuring high-quality care. “Liability is supposed to discourage people from doing things they shouldn’t do,” says Michael Froomkin, a law professor at the University of Miami.
Alibaba looks to arm hotels, cities with its AI technology — from zdnet.com by Eileen Yu
Chinese internet giant is touting the use of artificial intelligence technology to arm drivers with real-time data on road conditions as well as robots in the hospitality sector, where they can deliver meals and laundry to guests.
Excerpt:
Alibaba A.I. Labs’ general manager Chen Lijuan said the new robots aimed to “bridge the gap” between guest needs and their expected response time. Describing the robot as the next evolution towards smart hotels, Chen said it tapped AI technology to address painpoints in the hospitality sector, such as improving service efficiencies.
Alibaba is hoping the robot can ease hotels’ dependence on human labour by fulfilling a range of tasks, including delivering meals and taking the laundry to guests.
Accenture Introduces Ella and Ethan, AI Bots to Improve a Patient’s Health and Care Using the Accenture Intelligent Patient Platform — from marketwatch.com
Excerpt:
Accenture has enhanced the Accenture Intelligent Patient Platform with the addition of Ella and Ethan, two interactive virtual-assistant bots that use artificial intelligence (AI) to constantly learn and make intelligent recommendations for interactions between life sciences companies, patients, health care providers (HCPs) and caregivers. Designed to help improve a patient’s health and overall experience, the bots are part of Accenture’s Salesforce Fullforce Solutions powered by Salesforce Health Cloud and Einstein AI, as well as Amazon’s Alexa.
German firm’s 7 commandments for ethical AI — from france24.com
Excerpt:
FRANKFURT AM MAIN (AFP) –
German business software giant SAP published Tuesday an ethics code to govern its research into artificial intelligence (AI), aiming to prevent the technology infringing on people’s rights, displacing workers or inheriting biases from its human designers.
Why emerging technology needs to retain a human element — from forbes.com by Samantha Radocchia
Technology opens up new, unforeseen issues. And humans are necessary for solving the problems automated services can’t.
Excerpt (emphasis DSC):
With technological advancements comes change. Rather than avoiding new technology for as long as possible, and then accepting the inevitable, people need to be actively thinking about how it will change us as individuals and as a society.
Take your phone for instance. The social media, gaming and news apps are built to keep you addicted so companies can collect data on you. They’re designed to be used constantly so you back for more the instant you feel the slightest twinge of boredom.
And yet, other apps—sometimes the same ones I just mentioned—allow you to instantly communicate with people around the world. Loved ones, colleagues, old friends—they’re all within reach now.
Make any technology decisions carefully, because their impact down the road may be tremendous.
This is part of the reason why there’s been a push lately for ethics to be a required part of any computer science or vocational training program. And it makes sense. If people want to create ethical systems, there’s a need to remember that actual humans are behind them. People make bad choices sometimes. They make mistakes. They aren’t perfect.
To ignore the human element in tech is to miss the larger point: Technology should be about empowering people to live their best lives, not making them fearful of the future.
It’s time to address artificial intelligence’s ethical problems — from wired.co.uk by Abigail Beall
AI is already helping us diagnose cancer and understand climate change, but regulation and oversight are needed to stop the new technology being abused
Excerpt:
The potential for AI to do good is immense, says Taddeo. Technology using artificial intelligence will have the capability to tackle issues “from environmental disasters to financial crises, from crime, terrorism and war, to famine, poverty, ignorance, inequality, and appalling living standards,” she says.
…
Yet AI is not without its problems. In order to ensure it can do good, we first have to understand the risks.
The potential problems that come with artificial intelligence include a lack of transparency about what goes into the algorithms. For example, an autonomous vehicle developed by researchers at the chip maker Nvidia went on the roads in 2016, without anyone knowing how it made its driving decisions.
‘The Beginning of a Wave’: A.I. Tiptoes Into the Workplace — from nytimes.com by Steve Lohr
Excerpt:
There is no shortage of predictions about how artificial intelligence is going to reshape where, how and if people work in the future.
But the grand work-changing projects of A.I., like self-driving cars and humanoid robots, are not yet commercial products. A more humble version of the technology, instead, is making its presence felt in a less glamorous place: the back office.
New software is automating mundane office tasks in operations like accounting, billing, payments and customer service. The programs can scan documents, enter numbers into spreadsheets, check the accuracy of customer records and make payments with a few automated computer keystrokes.
The technology is still in its infancy, but it will get better, learning as it goes. So far, often in pilot projects focused on menial tasks, artificial intelligence is freeing workers from drudgery far more often than it is eliminating jobs.
AI for Virtual Medical Assistants – 4 Current Applications — from techemergence.com by Kumba Sennaar
Excerpt:
In an effort to reduce the administrative burden of medical transcription and clinical documentation, researchers are developing AI-driven virtual assistants for the healthcare industry.
This article will set out to determine the answers to the following questions:
Amazon’s Facial Recognition Wrongly Identifies 28 Lawmakers, A.C.L.U. Says — from nytimes.com by Natasha Singer
Excerpt:
In the test, the Amazon technology incorrectly matched 28 members of Congress with people who had been arrested, amounting to a 5 percent error rate among legislators.
The test disproportionally misidentified African-American and Latino members of Congress as the people in mug shots.
“This test confirms that facial recognition is flawed, biased and dangerous,” said Jacob Snow, a technology and civil liberties lawyer with the A.C.L.U. of Northern California.
On Thursday afternoon, three of the misidentified legislators — Senator Edward J. Markey of Massachusetts, Representative Luis V. Gutiérrez of Illinois and Representative Mark DeSaulnier of California, all Democrats — followed up with a letter to Jeff Bezos, the chief executive of Amazon, saying there are “serious questions regarding whether Amazon should be selling its technology to law enforcement at this time.”
Back from January:
Schools can not get facial recognition tech for free. Should they? — from wired.com by Issie Lapowsky
Excerpt:
Over the past two years, RealNetworks has developed a facial recognition tool that it hopes will help schools more accurately monitor who gets past their front doors. Today, the company launched a website where school administrators can download the tool, called SAFR, for free and integrate it with their own camera systems. So far, one school in Seattle, which Glaser’s kids attend, is testing the tool and the state of Wyoming is designing a pilot program that could launch later this year. “We feel like we’re hitting something there can be a social consensus around: that using facial recognition technology to make schools safer is a good thing,” Glaser says.
From DSC:
Personally, I’m very uncomfortable with where facial recognition is going in some societies. What starts off being sold as being helpful for this or that application, can quickly be abused and used to control its citizens. For example, look at what’s happening in China already these days!
The above article talks about these techs being used in schools. Based upon history, I seriously question whether humankind can wisely handle the power of these types of technologies.
Here in the United States, I already sense a ton of cameras watching each of us all the time when we’re out in public spaces (such as when we are in grocery stores, or gas stations, or in restaurants or malls, etc.). What’s the unspoken message behind those cameras? What’s being stated by their very presence around us?
No. I don’t like the idea of facial recognition being in schools. I’m not comfortable with this direction. I can see the counter argument — that this tech could help reduce school shootings. But I think that’s a weak argument, as someone mentally unbalanced enough to be involved with a school shooting likely won’t be swayed/deterred by being on camera. In fact, one could argue that in some cases, being on the national news — with their face being plastered all over the nation — might even put gas on the fire.
Glaser, for one, welcomes federal oversight of this space. He says it’s precisely because of his views on privacy that he wants to be part of what is bound to be a long conversation about the ethical deployment of facial recognition. “This isn’t just sci-fi. This is becoming something we, as a society, have to talk about,” he says. “That means the people who care about these issues need to get involved, not just as hand-wringers but as people trying to provide solutions. If the only people who are providing facial recognition are people who don’t give a &*&% about privacy, that’s bad.”
Per this week’s Next e-newsletter from edsurge.com
Take the University of San Francisco, which deploys facial recognition software in its dormitories. Students still use their I.D. card to swipe in, according to Edscoop, but the face of every person who enters a dorm is scanned and run through a database, and alerts the dorm attendant when an unknown person is detected. Online students are not immune: the technology is also used in many proctoring tools for virtual classes.
The tech raises plenty of tough issues. Facial-recognition systems have been shown to misidentify young people, people of color and women more often than white men. And then there are the privacy risks: “All collected data is at risk of breach or misuse by external and internal actors, and there are many examples of misuse of law enforcement data in other contexts,” a white paper by the Electronic Frontier foundation reads.
It’s unclear whether such facial-scanners will become common at the gates of campus. But now that cost is no longer much of an issue for what used to be an idea found only in science fiction, it’s time to weigh the pros and cons of what such a system really means in practice.
Also see:
Use the form below to search the site:
Still not finding what you're looking for? Drop a comment on a post or contact us so we can take care of it!
A few highly recommended friends...
All entries, chronologically...
