Archive for the ‘Artificial Intelligence’ Category

How we learned to break down barriers to machine learning – Ars Technica

Dr. Sephus discusses breaking down barriers to machine learning at Ars Frontiers 2022. Click here for transcript.

Welcome to the week after Ars Frontiers! This article is the first in a short series of pieces that will recap each of the day's talks for the benefit of those who weren't able to travel to DC for our first conference. We'll be running one of these every few days for the next couple of weeks, and each one will include an embedded video of the talk (along with a transcript).

For today's recap, we're going over our talk with Amazon Web Services tech evangelist Dr. Nashlie Sephus. Our discussion was titled "Breaking Barriers to Machine Learning."

Dr. Sephus came to AWS via a roundabout path, growing up in Mississippi before eventually joining a tech startup called Partpic. Partpic was an artificial intelligence and machine-learning (AI/ML) company with a neat premise: Users could take photographs of tooling and parts, and the Partpic app would algorithmically analyze the pictures, identify the part, and provide information on what the part was and where to buy more of it. Partpic was acquired by Amazon in 2016, and Dr. Sephus took her machine-learning skills to AWS.

When asked, she identified accessasthe biggest barrier to the greater use of AI/MLin a lot of ways, it's another wrinkle in the old problem of the digital divide. A core component of being able to utilize most common AI/ML tools is having reliable and fast Internet access, and drawing on experience from her background, Dr. Sephus pointed out that a lack of access to technology in primary schools in poorer areas of the country sets kids on a path away from being able to use the kinds of tools we're talking about.

Furthermore, lack of early access leads to resistance to technology later in life. "You're talking about a concept that a lot of people think is pretty intimidating," she explained. "A lot of people are scared. They feel threatened by the technology."

One way of tackling the divide here, in addition to simply increasing access, is changing the way that technologists communicate about complex topics like AI/ML to regular folks. "I understand that, as technologists, a lot of times we just like to build cool stuff, right?" Dr. Sephus said. "We're not thinking about the longer-term impact, but that's why it's so important to have that diversity of thought at the table and those different perspectives."

Dr. Sephus said that AWS has been hiring sociologists and psychologists to join its tech teams to figure out ways to tackle the digital divide by meeting people where they are rather than forcing them to come to the technology.

Simply reframing complex AI/ML topics in terms of everyday actions can remove barriers. Dr. Sephus explained that one way of doing this is to point out that almost everyone has a cell phone, and when you're talking to your phone or using facial recognition to unlock it, or when you're getting recommendations for a movie or for the next song to listen tothese things are all examples of interacting with machine learning. Not everyone groks that, especially technological laypersons, and showing people that these things are driven by AI/ML can be revelatory.

"Meeting them where they are, showing them how these technologies affect them in their everyday lives, and having programming out there in a way that's very approachableI think that's something we should focus on," she said.

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How we learned to break down barriers to machine learning - Ars Technica

New App for Apple Watch Uses Artificial Intelligence to Detect Left-ventricular Dysfunction – Diagnostic and Interventional Cardiology

May 18, 2022 A new app developed by the Mayo Clinic transmits Apple Watch electrocardiograms (ECG) signals recorded in non-clinical environments seamlessly and securely to the medical center to permit artificial intelligence (AI) analysis to identify leftventricular dysfunction, a life-threatening, asymptomatic heart disease. Additionally, the tracings are presented on an interactive dashboard integrated with the electronic health record to facilitate clinician review. The findings were presented today as late-breaking clinical science during Heart Rhythm 2022.

Heart failure is a progressive disorder that impacts more than six million Americans and leads to more than one million hospitalizations annually1. Considered stage B heart failure, left-ventricular dysfunction is often asymptomatic and, if left untreated, can lead to adverse events. Traditional ECGs are unable to identify and diagnose ventricular dysfunction (weak heart pump), even with expert human interpretation. The introduction of AI to 12 lead ECG analysis in a clinical setting enabled the ECG to identify left ventricular dysfunction. The authors of this study sought to adapt the neural network so that instead of reading a 12 lead ECG, it could read an Apple Watch ECG to assess applying the test remotely and, by using patient-owned equipment, inexpensively.

Mayo Clinic patients with the Mayo Clinic iOS app and an Apple Watch were invited to participate in the study. Of the 3,884 Mayo Clinic patients who reported Apple Watch ownership, 2,454 subjects from 46 states and 11 countries participated and downloaded the study app. The average age of participants was 5315 years and 56% were female. The app, developed by Mayo Clinic, sent all previously recorded ECGs for clinician review. ECGs acquired from the wearable devices within one month of a clinically ordered ECG were analyzed by AI for the presence of ejection fraction 40% using a model adapted for single lead use.

We have seen how artificial intelligence has revolutionized the already common ECG into a tool that can be used to identify occult cardiovascular diseases. Our team saw vast potential to expand tracking outside of a physicians office by using popular wearable devices, said Zachi Itzhak Attia, MSEE, PhD, Mayo Clinic. We set out to create a platform that could not only provide accurate readings, but also would yield high patient engagement with an easy to navigate, user-friendly process that can be completed from the comfort of a patients home.

Between August, 2021 and August, 2022, patients shared 125,610 ECGs and 92% of patients used the app more than once. Of the participants, 421 had at least one sinus rhythm (NSR) ECG (avg: 17 ECGs, with NSR determined by watch algorithm) within 30 days of an echocardiogram. Among the participants, 16 of these patients (3.8%) had an EF 40%, and 13 out of these 16patients were identified by the watch AI ECG, which had an Area Under the Curve (AUC) 0.875, sensitivity 81.2% and specificity 81.3%.

These findings show that the application of AI to a wearable device ECG can effectively monitor left ventricular dysfunction. For patients who might unknowingly have this condition, such as those with hypertension, diabetes, advancing age, and people receiving some forms of chemotherapy, the tool could enable early detection and help physicians optimize treatment options, said Paul Friedman, MD, FHRS, Mayo Clinic. This technology has the potential to be scaled and adopted by hospital systems to better serve patients, particularly in remote communities or geographically diverse populations around the world, potentially addressing health care disparities, and enabling physicians to offer more coordinated patient care.

The authors are currently seeking FDA approval for the current algorithm used in this trial, and would like to see further studies test additional AI algorithms developed by their team. They would also like expand this current interface for additional data collection and to screen for other common heart conditions among patients, such as atrial fibrillation.

For more information: http://www.hrsonline.org

Reference:

1 Mozaffarian D, Benjamin EJ, Go AS et al. Heart disease and stroke statistics 2015 update: a report from the American Heart Association. Circulation. 2015;131:e29322. doi: 10.1161/CIR.0000000000000152.

Use and Benefits of RPM in a Clinical Setting

The Future of Cardiac Health

Mayo Researchers Use AI to Detect Weak Heart Pump via Patients Apple Watch ECGs

New Fitbit Feature Makes AFib Detection More Accessible

Tracking Cardiovascular Health Population Trends Using Consumer Wearables

Bristol-Myers Squibb-Pfizer Alliance, Fitbit Team Up on Atrial Fibrillation Detection

Artificial Intelligence Detects AFib Using Apple Watch Heart Rate Sensor

Consumer Smart Watches Accurately Measure Paroxysmal Supraventricular Tachycardia

VIDEO: Use of Wearable Medical Devices for Cardiac Rehabilitation Interview with Robert Klempfner, M.D.

VIDEO: Mobile App Links Wearable Data to Electronic Medical Records

Apple Heart Study Demonstrates Ability of Wearable Technology to Detect Atrial Fibrillation

VIDEO: Use of Wearables to Track Electrophysiology Patients Interview with Khaldoun Tarakji, M.D.

VIDEO: The Future of Wearables in Healthcare Karl Poterack, M.D.

8 Cardiovascular Technologies to Watch in 2020

VIDEO: Healthcare Technology Advances at CES 2019

Welcoming Apple to the World of ECG

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New App for Apple Watch Uses Artificial Intelligence to Detect Left-ventricular Dysfunction - Diagnostic and Interventional Cardiology

Will Artificial Intelligence and robotics usher in an era of sustainable precision agriculture? – Genetic Literacy Project

Across midwestern farms,if Girish Chowdhary has his way, farmers will someday release beagle-sized robots into their fields like a pack of hounds flushing pheasant. The robots, he says, will scurry in the cool shade beneath a wide diversity of plants, pulling weeds, planting cover crops, diagnosing plant infections, and gathering data to help farmers optimize their farms.

Chowdhary, a researcher at the University of Illinois, works surrounded by corn, one of the most productive monocultures in the world. In the United States, the corn industry was valued at $82.6 billion in 2021, but it like almost every other segment of the agricultural economy faces daunting problems, includingchanging weather patterns,environmental degradation, severelabor shortages, and therising costof key supplies, or inputs: herbicides, pesticides, and seed.

Agribusiness as a whole is betting that the world has reached the tipping point where desperate need caused by a growing population, the economic realities of conventional farming, and advancing technology converge to require something called precision agriculture, which aims to minimize inputs and the costs and environmental problems that go with them.

No segment of agriculture is without its passionate advocates of robotics and artificial intelligence as solutions to, basically, all the problems facing farmers today. The extent of their visions ranges from technology that overlays existing farm practices to a comprehensive rethinking of agriculture that eliminates tractors, soil, sunlight, weather, and even being outdoors as factors in farm life.

But the promises of precision agriculture still havent been met: Because most of the promised systems arent on the market, few final prices have been set and theres precious little real-world data proving whether they work.

The marketing around precision agriculture, that its going to have a huge impact, we dont have the data for that yet, says Emily Duncan, a researcher in the Department of Geography, Environment and Geomatics at the University of Guelph in Canada. Going back to the idea that we want to reduce the use of inputs, precision agriculture doesnt necessarily say were going to be using less overall.

Even so, Chowdhary, who is co-founder and chief technical officer of Earthsense, Inc., the company that makes those beagle-sized robots, is hopeful that the adoption of his robots will propel farmers well past precision agriculture, to think about the business of farming in a whole new way. Right now, he says, most farmers focus on yield, defining success as growing more on the same amount of land. The result: horizon-to-horizon, industrial monocultures saturated with chemicals and tended by massive and increasingly expensive machinery. With the help of his robots, Chowdhary foresees a future, instead, of smaller farms living more in harmony with nature, growing a diversity of higher value crops with fewer chemicals.

The biggest thing we can do is make it easier for farmers to focus on profit, and not just on yield, Chowdhary wrote in an email to Undark. Management tools that help reduce fertilizer and herbicide costs while improving the quality of land and keeping yield up will help farmers realize more profit through fundamentally more sustainable techniques.

Chowdharys robots may help farmers cut costs by, among other things, pulling weeds that compete with corn. For centuries, farmers tamed weeds with hoes and plows. World War II gave rise to the modern chemical industry, and the herbicides it produced made farmers perceive weeds as a non-issue, leaving the ground beneath crops like corn unnaturally bare and vastly increasing the yield per acre, revolutionizing the farm economy.

Nature is persistent, however, and inevitablyweeds evolvedthat resist herbicides. To compensate, suppliers blend powerful and increasingly expensive herbicidal cocktails and genetically modify seed to be chemically resistant. That agricultural arms race traps farmers in a cycle ofrising costs, threatens preciouswater resources, and only works until, as Iowa farmer Earl Slinker puts it, you go out and spray it one year and it doesnt do anything. The result is a smaller harvest, according to Slinker, which in the low-profit-margin business of farming can mean disaster.

The question that underlies all the theorizing is both economic and cultural: Are farmers going to buy in?

The challenge is demonstrating the benefits to farmers and making these things easy to adopt, says Madhu Khanna, who studies technology adoption at the University of Illinois Department of Agriculture and Consumer Economics. For most of these technologies, the benefits are uncertain.

In agriculture,the conventional wisdom is that the outcome of the race to the farm of the future will be determined by clear-eyed economic decision-making. If robotics and artificial intelligence make business sense, the market will develop. Farmers and growers are very smart about that, says Baskar Ganapathysubramanian of Iowa State Universitys Artificial Intelligence Institute for Resilient Agriculture. From hardware and software perspective, if theres a clear value proposition, he adds, theyre going to choose it.

The growth numbers suggest farmers are open to the potential benefits of advanced technology. Overall, farmers spent almost $25 billion on tractors and other farm equipment in 2020. While Covid-19 slowed the adoption of robotics, farms worldwide are expected to incorporate the technology into their operations faster than the industrial market increases of 19.3 percent and 12.3 percent, respectively, over five years. The global research firm MarketsandMarkets estimates that spending on robots will go from nearly $5 billion in 2021 to almost $12 billion in 2026. One result of that optimism, according to CropLife, a U.S. agribusiness publication, is that the third quarter of 2021 saw more venture capital investment in agriculture technology startups than ever: more than $4 billion.

So few people have experience with farming, says Joe Anderson, an agricultural historian and professor at Mount Royal University in Calgary. They assume theres more stasis than there has been. There are lots of innovations. There have been lots of changes.

The tractors dragging huge implements across fertile fields feature technology that has outpaced even the most advanced automobiles. Many are steered by GPS, following paths mapped out over years of planting and harvest, rendering the farmer in the air-conditioned, video-equipped cab not much more than a passenger.

You put your first pass and the next ones will follow right along, says Slinker, who farms 500 acres outside Grundy Center, Iowa. I just put on a little Keith Jarrett and sit back and travel across the field.

In the autumn, harvesting machinery guides itself along those same tracks, sensing and recording the productivity of every square foot of field. That data can be used to calculate how much of which hybrid seed should be planted next year, determine how heavily it should be fertilized to reach its fullest potential, and identify small patches of ground that arent productive enough to be profitably planted.

When I stop and think about an autonomous tractor, that seems like a really big leap, Sarah Schinkel, who leads John Deeres technology stack innovation group, said at the National Farm Machinery Showin February, but when I stop and think about it and how much automation is already a part of our equipment, maybe its not that big of a leap.

Deere is doing a limited release of its first fully autonomous tractor this year, with greater availability in 2023 and beyond. In contrast to the small-robot vision of researchers like Chowdhary, its a remake of the companys popular Model 8R tractor, which weighs 14 tons. It fits neatly into the existing agribusiness model, but even with that adoption advantage no one expects a fast transition. Farm equipment has an amazingly long lifespan, at least compared to consumer products like cars. Modern tractors routinely operate for 4,000 hours, and a well-maintained model can last 10,000 or approximately 25 years.

Even though you may think youd be interested in getting some new robotic equipment, says Scott Swinton, a distinguished professor in Michigan State Universitys Department of Agriculture, Food, and Resource Economics, a lot depends on where you are in the depreciation and use cycles for the equipment you have. So we see a lot slower adoption than you do in genetics or chemicals.

And there is another thing: Critics note that robotics, even if widely adopted, wont address some of the underlying inadequacies of conventional agriculture.

When we think about this global challenge of feeding everyone our current system is not set up to do that, says Duncan. The fix isnt to throw more tech at it. Its to question the system.

The Midwestern corn-and-soybeans row-crop sector is just a fraction of all of agriculture, which in the U.S. was valued at over $205 billion in 2020. Much of that is what farmers refer to as horticultural crops fruit, vegetables, and other produce.

The important distinction is between field crops that are highly mechanized like corn and horticultural crops that require special treatment, says Swinton. They are higher value and can tolerate higher investments in equipment. Its equipment that does weeding in vegetable crops, some robotic harvesting of, say, asparagus or broccoli, some robotic pickers of tree fruits. These are all in areas where you need somewhat skilled labor, and labor can be hard to get.

The problem is, the planting and harvesting of horticultural crops that is handled so easily by people flummoxes robots. George Kantor, a research professor in Carnegie Mellons Robotics Institute, says it will be necessary to change farms to suit robots. Consider, he suggests, the unremarkable act of picking an apple. What a human laborer can accomplish almost without a thought is nearly impossible for a machine. Locating each piece of fruit, gauging its ripeness, and reaching through a tangle of leaves and branches to gently pluck it from the tree its easier, he says, to train the tree than it is to train the robot. In the case of apples, that means sculpting the orchard into what he calls fruiting walls.

Their tree canopy is trained to be essentially a two-dimensional object, Kantor says. Its a wall with a bunch of apples hanging off of it. We dont have anything that can harvest your grandfathers apple tree, that can reach inside the canopy and pick an apple. But these fruiting walls, its a much easier problem.

Where the agricultural labor shortage is most intense, robotics are gaining ground the fastest. Robert Hagevoort, an extension dairy specialist and professor at New Mexico State University, says the nature of dairy farming makes its labor crisis among the worst in agricultures sectors. Cows need to be milked twice a day, he says, every day, creating a lifestyle that is a tough sell to young people choosing a career. The labor shortage is contributing to the decrease in the number of dairy farms.

In some places, he says, some of those producers with land they bought by the acre for agriculture end up selling it by the square foot for real estate development.

Robotics have offered a lifeline to some dairy farmers. But contrary to the idealized vision of smaller, more local, family farms, robotics have nudged dairy toward larger operations.

If you went into farming because you wanted to do your own thing and be by yourself like my father did, says Christopher Wolf, professor of agricultural economics at Cornell University, thats not the job anymore. Its a different skill set. Youre going to be part of a management team.

Wolf grew up in Wisconsin at a time when 150 cows was a large herd, but still manageable by a single large family. Adding robots to dairy farming creates the same potential economies of scale that have industrialized row crops like corn and soybeans. A single robotic milker can care for over 60 cows, and the second milker is cheaper than the first, and the third cheaper than the second. In advanced milking parlors dozens of milkers can be linked together and managed by only a few technicians working predictable eight-hour shifts and having barely any contact with the cows.

If youre set up that way you can also take a vacation, says Wolf. I knew dairy farmers growing up who hadnt taken a vacation in 20 years.

At the farthest reaches of robotic farming are the developers who are completely abandoning almost every aspect of traditional farming. Iron Ox, a California start-up that just received a $53 million infusion of capital from Bill Gates Breakthrough Energy Ventures fund, grows high-value fresh produce in completely controlled, indoor environments.

Most approaches to automating parts of agriculture are one robot that does one operation, says Brandon Alexander, CEO of the company. The reason that hasnt succeeded is at the end of the day plants are complex things. If youre really going to automate it, you have to design the entire process from the ground-up for automation.

That will likely happen first in an agricultural sector with few traditions to change, a very small installed technical base to replace, and a high rate of potential return which is a pretty apt description of the embryonic cannabis industry. Legal cannabis is already the U.S.sfifth most valuable crop, and producers are adopting new technology in ways traditional farmers are not.

Theres not a strong bias looking backwards at how the crop is produced, says Kantor. The other thing of course is we talk about high value crops. Grapes are high value crops, leafy greens are high value crops, but cannabis is in a whole other league. Its going to drive a lot of interesting technologies.

A study by the University of Illinois estimatesthat the cost of seed, fertilizer, herbicides, and other farming inputs for corn and soybean production are going to rise over 30 percent between 2020 and the 2022 planting season. The study predicts per acre return roughly the equivalent of gross profit for corn will drop from $378 to $61 per acre in 2022.

From a farmers perspective they know they need help, says Alexander. The average grower recognizes that something pretty drastic needs to change if were going to feed a growing population.

But according to Terry Griffin, a cropping systems economist at Kansas State University, economists too often assume farmers will behave like businesses, when they often behave more like consumers. Different people measure value differently, Griffin says. Some farm management goes to having the greatest net return. Some might want the newest equipment or the best environmental metrics. For every individual its a different value proposition.

Khanna cites another factor that is often forgotten: consumer perceptions. If consumers start to demand, for example, more crops produced without todays heavy application of chemicals, it could drive adoption of robotics.

We underestimate consumers, she says, in reference to the role they can play in creating this market. As there is more demand for sustainably produced agricultural products, there will be a greater shift toward documenting what farmers are doing. Policies will do that too, but a lot of the change is going to be driven by consumer and market pressures.

I dont think there will be one model of agriculture in the future, but there is a push to move away from the industrial model of farming, says Hermione Dace, a policy analyst at the Tony Blair Institute for Global Change in London. Traditional farming will still exist, but there will be less of it. Robotics will help traditional farmers apply inputs more precisely and reduce the environmental impact of farming as well as saving cost.

Nidhi Kalra, a senior information scientist at the Rand Corporation, a public policy think tank, says the current moment in agriculture recalls theGartner Hype Cycle, a formulation of the adoption of new technology which is basically that new tech comes in, dreams are vastly overinflated, those technologies crash and people say its garbage, and then you come out of the valley and the tech starts doing useful things in the world.

If shes right, todays excited anticipation of agricultures robotic utopia-to-come will inevitably give way to disillusionment as seemingly world-changing ideas amount to very little.

Kantor believes there have already been three or four robotic waves. In the 1950s, Walt Disney created Tomorrowland, the first really vivid demonstration of what very human robots might one day do. It generated a lot of excitement, but what came out of that period were industrial robots, bolted to factory floors and accomplishing a single rote task. Roughly every decade since then theres been some new technology that opened wider possibilities. He cites the personal computer, ATMs, and shopping kiosks.

Now were in a self-driving car wave and agriculture wave, and its going to recede, he says. I like to think of it as tides, waves washing up on the beach, and theres a lot of excitement and then the waves recede, and one or two things are left behind and are useful.

It ultimately will come down to what farmers choose. On his farm in Iowa, Slinker thinks of himself as pretty typical. Hes not on the cutting edge of technology, but he adopts what makes sense to him and what he has seen work for farmers he knows. But he will keep some things, too, even when its not completely rational.

And so, along with the modern equipment he uses to operate his farm, he holds onto an old tractor that belonged to his father. That tractor may not be part of the billion-dollar calculations being made on his behalf by people who spend more time in research labs and conference rooms than they do on the farm, but it should be. Its handy for hauling small loads without putting hours on his bigger, more expensive tractors. And it reminds Slinker, he says, of why he got into farming in the first place, and thats something hed like to preserve.

Tom Johnson writes about technology, business, and whiskey in Louisville, Kentucky. He has written or co-written dozens of historical and military documentaries, and been published in Los Angeles, Newsday, Vineyard & Winery Management, Bourbon+, and other publications. Check out Tom Johnsons personal website at http://www.excellentproj.com

A version of this article was posted at Undark and is used here with permission. Check out Undark on Twitter @undarkmag

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Will Artificial Intelligence and robotics usher in an era of sustainable precision agriculture? - Genetic Literacy Project

U.S. warns of discrimination in using artificial intelligence to screen job candidates – NPR

Assistant Attorney General for Civil Rights Kristen Clarke speaks at a news conference on Aug. 5, 2021. The federal government said Thursday that artificial intelligence technology to screen new job candidates or monitor their productivity can unfairly discriminate against people with disabilities. Andrew Harnik/AP hide caption

Assistant Attorney General for Civil Rights Kristen Clarke speaks at a news conference on Aug. 5, 2021. The federal government said Thursday that artificial intelligence technology to screen new job candidates or monitor their productivity can unfairly discriminate against people with disabilities.

The federal government said Thursday that artificial intelligence technology to screen new job candidates or monitor worker productivity can unfairly discriminate against people with disabilities, sending a warning to employers that the commonly used hiring tools could violate civil rights laws.

The U.S. Justice Department and the Equal Employment Opportunity Commission jointly issued guidance to employers to take care before using popular algorithmic tools meant to streamline the work of evaluating employees and job prospects but which could also potentially run afoul of the Americans with Disabilities Act.

"We are sounding an alarm regarding the dangers tied to blind reliance on AI and other technologies that we are seeing increasingly used by employers," Assistant Attorney General Kristen Clarke of the department's Civil Rights Division told reporters Thursday. "The use of AI is compounding the longstanding discrimination that jobseekers with disabilities face."

Among the examples given of popular work-related AI tools were resume scanners, employee monitoring software that ranks workers based on keystrokes, game-like online tests to assess job skills and video interviewing software that measures a person's speech patterns or facial expressions.

Such technology could potentially screen out people with speech impediments, severe arthritis that slows typing or a range of other physical or mental impairments, the officials said.

Tools built to automatically analyze workplace behavior can also overlook on-the-job accommodations such as a quiet workstation for someone with post-traumatic stress disorder or more frequent breaks for a pregnancy-related disability that enable employees to modify their work conditions to perform their jobs successfully.

Experts have long warned that AI-based recruitment tools while often pitched as a way of eliminating human bias can actually entrench bias if they're taking cues from industries where racial and gender disparities are already prevalent.

The move to crack down on the harms they can bring to people with disabilities reflects a broader push by President Joe Biden's administration to foster positive advancements in AI technology while reining in opaque and largely unregulated AI tools that are being used to make important decisions about people's lives.

"We totally recognize that there's enormous potential to streamline things," said Charlotte Burrows, chair of the EEOC, which is responsible for enforcing laws against workplace discrimination. "But we cannot let these tools become a high-tech path to discrimination."

A scholar who has researched bias in AI hiring tools said holding employers accountable for the tools they use is a "great first step," but added that more work is needed to rein in the vendors that make these tools. Doing so would likely be a job for another agency, such as the Federal Trade Commission, said Ifeoma Ajunwa, a University of North Carolina law professor and founding director of its AI Decision-Making Research Program.

"There is now a recognition of how these tools, which are usually deployed as an anti-bias intervention, might actually result in more bias while also obfuscating it," Ajunwa said.

A Utah company that runs one of the best-known AI-based hiring tools video interviewing service HireVue said Thursday that it welcomes the new effort to educate workers, employers and vendors and highlighted its own work in studying how autistic applicants perform on its skills assessments.

"We agree with the EEOC and DOJ that employers should have accommodations for candidates with disabilities, including the ability to request an alternate path by which to be assessed," said the statement from HireVue CEO Anthony Reynold.

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U.S. warns of discrimination in using artificial intelligence to screen job candidates - NPR

Trending Today, Airing on Fox Business, Features The Security Oracle, Experts in the Security and Artificial Intelligence Space – PR Newswire

ORLANDO, Fla., May 13, 2022 /PRNewswire/ -- Coming soon to Trending Today, airing on Fox Business, The Security Oracle, a leader in the security and artificial intelligence space, reveals how its revolutionary robots are changing the world of security, one robot at a time. Watch to learn how The Security Oracle's robotic appliances meet the market demand for early alerts and mitigation of all-hazard threats. The Security Oracle's AI technology deploys non-lethal, non-permanent blinding lights and disorienting sounds to stun and confuse potential attacks and criminals at close or long distance, providing critical time for security and law enforcement to respond in person.

"One of the most urgent, and important, problems we need to solve in America today is violent crime and attacks on our critical infrastructure.When dealing with active shootings or attacks on critical infrastructure, current security solutions aren't fast enough!" says Charles L Butler, Jr., CEO of The Security Oracle.

While the best average response time from a human to an active shooting is five minutes, The Security Oracle's artificial intelligence robots can respond in a fraction of the time. Nearly 70% percent of lives lost during an active shooting situation occur within the first five minutes. A quick response time is critical. The Security Oracle's robots close this response time gap down to seconds, not only keeping critical infrastructure online, but also saving precious lives.

"The Security Oracle is solving wicked problems of active shooters and threats against critical infrastructure, assets and people around the globe," says Vontella Kay Kimball, President of The Security Oracle.

Over the last five years, The Security Oracle has delivered five deployments of Robots in the Sky, as game-changer appliances, having over 200,000 hours of operational excellence and amazing uptime performance, protecting America's power grid from attack. "If the ability to defend the asset is a vital component of your overall critical infrastructure protection strategy, then the 'TSO RCADS' offers a unique and reliable solution," says Al Perotti, CPP, power grid Physical Security Director and early adopter of TSO's Remotely Controlled Active Defense and Denial System (RCADS).

"TSO's disruptive robotic solution, (RCADS), is the enabling AI technology that makes it possible for Robots in the Sky and TSO's family of robotic appliances to empower organizations to dynamically reconfigure access control and emergency communications systems to adapt to new security threats in sub-second response time," says Anna M. Wang, Wang & Associates, Security & Compliance Consulting.

Robotics is the new technological revolution. Per a recent Oxford study, "84% of security guards will be replaced by AI security technology and robots!" This is the future of security! The Security Oracle has been referred to as a Unicorn in Waiting given their global portfolio of 9 Pioneering Patents/1 Pending Patent and 163 registered trademarks in 35 countries across 4 continents: Robots in the Sky - Robots on the Move - Robots on the Seas Robots on the Rails - RCADS

Is The Security Oracle a Unicorn in Waiting?

About Trending Today:Trending Today is an award-winning business show that features entrepreneurs, companies, and trendsetters that are transforming their respective industries. Trending Today guests share their stories and commitment to building their brands, inspiring entrepreneurship and the American dream. Trending Today airs on Fox Business. Learn more at http://www.TrendingToday.com.

About The Security Oracle:The Security Oracle is a Visionary Team founded to be a catalyst for change in Public Safety and Homeland Security. They develop market-disrupting, purpose-built, artificial intelligence robotic security appliances to help protect the future and save lives. CEO, Charles L. Butler, Jr. explains how the "MISSION of TSO is to fuse the 2000 year-old philosophy of Sun Tzu, SPEED-SURPRISE-MANEUVER, with 21st century AI, to transform the Global Security Market."

TSO's transformative technology is patented in 9 countries and 1 pending patent.Learn more at http://www.TheSecurityOracle.com.

About the Author:Michelle Layne is the resident writer for Trending Today. She loves telling and following inspiring stories about entrepreneurs who are revolutionizing their industries and chasing their dreams. She has a Master of Science in Industrial Organizational Psychology from SNHU, and a Master of Arts in Homeland Security from Northeastern University.

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Trending Today, Airing on Fox Business, Features The Security Oracle, Experts in the Security and Artificial Intelligence Space - PR Newswire