A new law in Illinois will regulate the use of artificial intelligence in job interviews. The Artificial Intelligence Video Interview Act, House Bill 2557, requires companies to notify the applicant when the system is being used, explain how the AI works, get permission from the applicant, limit distribution of the video to people involved with the process and to destroy the video after 30 days. Matthew Jedreski, counsel at Davis Wright Tremaine LLP in Seattle, is a litigator and employment attorney who updates clients on local and state employment laws. Jedreski said AI video interviews apply psychometrics, which is the science of measuring attitude and personality traits. "It's reading data and then analyzing it to determine whether it can draw conclusions about the person being interviewed," Jedreski said.
The Pentagon is figuring ways to harness artificial intelligence (AI) for advantages as far flung as battlespace autonomy, intelligence analysis, record tracking, predictive maintenance and military medicine. AI is a key growth investment area for DoD, with nearly $1 billion allocated in the 2020 budget. The Defense Department's Joint Artificial Intelligence Center (JAIC) will see its budget double to over $208 million, with significant increases likely in 2021 and beyond. JAIC seeks to coordinate all military service and defense agency artificial intelligence activity over a $15 million benchmark. The military is currently seeking to integrate AI into weapon systems development, augment human operators with AI-driven robotic maneuver on the battlefield and enhance the precision of military fires.
As AI algorithms play a bigger role in decision making, how do qualities like ethics, compassion, and inclusion get programmed into the code? On this edition of Bytemarks Café, a talk about the gathering of thought leaders in Hawai'i to discuss how to move the technology agenda. The event is called TechForce 2019, and its aim is to bring together leaders from key sectors to accelerate tech readiness in our islands. On this edition of Bytemarks Café, a discussion about a novel new project that projects a 3D hologram from Hawaii to American Samoa. The project is called Holo Campus, and is the delivery of University of Hawai'i lectures over the trans-Pacific fiber optic broadband network to the Pacific Islands.
Machine-learning chatbot systems can be exploited to control what they say, according to boffins from Michigan State University and TAL AI Lab. "There exists a dark side of these models – due to the vulnerability of neural networks, a neural dialogue model can be manipulated by users to say what they want, which brings in concerns about the security of practical chatbot services," the researchers wrote in a paper (PDF) published on arXiv. They crafted a "Reverse Dialogue Generator" (RDG) to spit out a range of inputs that match up to a particular output. Text-based models normally work the other way, where outputs are generated after having been given an input. For example, given the sentence "Hi, how are you?", a computer learns to output a response like "Fine, thank you" as it learns that is one of the most common replies to that question in training data.
As we saw in Minding the Gender Gap, women still lag far behind men in the tech field, both in terms of representations (which hovers around 25% in the United States), and in terms of pay, where the gap between men and women is close to 12%. While figures for pay disparity in tech don't focus on specialists in artificial intelligence (AI), female representation there is even lower. According to the report, Discriminating Systems: Gender, Race, and Power, conferences women make up only 18% of the represented authors at AI conferences and less than 20% of AI professors. They fare even worse in corporations where they make up only 15% of research staff positions at Facebook and a mere 10% at Google. Join nearly 200,000 subscribers who receive actionable tech insights from Techopedia.
Technology has been blamed for a lot recently. Automation and artificial intelligence have supposedly led to substantial job losses, reduced bargaining power for workers and increased discrimination. It is even blamed for growing income and wealth inequality and, as a result, the presidency of Donald Trump, Brexit, the rise of far-right populism in Europe and the spectre of climate change. In response, calls are being made for global oversight and regulation of technology and there are attempts to slow down its spread through protectionist trade policies and political lobbying. But perhaps we should be careful about so readily blaming technological innovation for these social problems.
This is a 1-week/10 hours long, part-time and instructor-led training offered in evening time (New York Timezone) by 6FS.io, a San Francisco based technology company. This training program is built based on 6FS team's years of experience in building large-scale solutions using various various Big Data and AI/ML technologies. This is not a book-based training, rather a hands-on, interactive experience app building apps using AI/ML, delivered by experienced startup CTOs. While learning basic concepts like Python, Jupyter notebooks, and training models and human powered labeling, you'll also learn practical problems and solutions, based on how Dean and Adrian built technology stacks in their previous startups. Let's build a project to gather data from human labeling service like AWS Sage maker GroundTruth.
CHICAGO--(BUSINESS WIRE)--AHIMA booth 904--Change Healthcare (Nasdaq: CHNG) today introduced Charge Capture Advisor, a new cloud-based addition to the company's portfolio of Revenue Integrity Solutions. The solution uses Change Healthcare Artificial Intelligence to identify potentially missing charges for services that providers actually performed before claims are submitted. The result: more complete capture of services rendered without additional time and effort by hospital revenue integrity teams. Working alongside providers' existing health information system (HIS), coding, billing, and manual processes as part of a comprehensive charge-capture strategy, Charge Capture Advisor brings the power of AI to help increase detection of missing charges to drive complete claims, accelerate cash flow, and optimize revenue. "Providers are still falling short of their charge-capture potential, despite using the most sophisticated rules-based systems and meticulous manual audits," said Nick Giannasi, Ph.D., executive vice president and chief AI officer, Change Healthcare.
There's an old saying that wars are easy to get into but hard to get out of. President Trump understands this, which is why he wisely resisted the temptation to launch a military strike against Iran after that nation launched a missile and drone attack last week against Saudi Arabian oil facilities. When he was running for president, Trump promised the American people he would not jump into endless conflicts in the greater Middle East, where thousands of members of the U.S. military have been killed and wounded in wars in Iraq and Afghanistan. Fighting began in 2001 in Afghanistan and 2003 in Iraq and still continues in both countries. U.S. forces have also fought on a smaller scale in Syria to strike at terrorist targets.
San Francisco is known as a hub of tech innovation, making USF an ideal place to study computer and data science. The location gives students the opportunity to connect professionally with companies everyone knows: Google, Twitter, Facebook – the list goes on. But what opportunities does USF offer students to participate in peer reviewed scholarship, a place where current students and faculty can connect over tech R&D on campus? As of Fall 2018, the answer comes in the form of the weekly MAGICS Lab meetings, a way to gain valuable mentorship and learn about emerging technologies, a place where undergraduate, graduate students, and faculty all have the opportunity to learn, research, and publish together. This group welcomes all skill-levels, from novice to seasoned researchers alike.