SciTech Europa Quarterly attended the UN AI for Good global summit, where the topic of discussion was how Artificial Intelligence can be delivered for social change in various ways across the public and private sectors. We spoke to Neil Sahota, IBM Master Inventor and World Wide Business Development Leader in the IBM Watson Group; United Nations (UN) Artificial Intelligence (AI) subject matter expert; and Professor at UC Irvine, at the event about how Artificial Intelligence can be used to deliver social change to achieve to UN sustainable development goals. Artificial Intelligence is critical for delivering social change for the goal of sustainable development. The United Nations estimates that there is a $7 trillion shortfall every year trying to achieve the sustainable development goals. The goals are for a better society and a better world, so the question of how we bridge the shortfall is very important.

HR recruitment is one of those fields where artificial intelligence can offer huge improvement and acceleration of work. From resumes and candidates selection to face recognition, we can predict that within a few years every big HR company will have artificial intelligence recruitment applications onboard to help human recruiters in finding the best candidates. What is artificial intelligence in recruitment requirements? What is the impact of artificial intelligence on recruitment and selection of candidates? How does artificial intelligence work in recruitment and what are the benefits of artificial intelligence in recruitment?

Labor unions have been around since the mid-19th century, and they've helped many a teacher, government employee, electrical worker, and others gain fairer pay or better working conditions. Unions give workers a chance to dictate their own terms and present a united front, ideally leaving everyone better off (though parents whose kids can't go to school for days at a time due to teacher's strikes might disagree). But one profession that unionization has eluded is medicine. Dr. Eric Topol is the co-host of popular podcast Medicine and the Machine, editor in chief of medical news and education website Medscape, and founder of the Scripps Research Translational Institute. In his opinion, the lack of a functioning union for doctors has detracted both from the satisfaction physicians get from their jobs, and the quality of care their patients receive.

Google secretly gathered millions of patient records across 21 states on behalf of a health care provider, in an effort dubbed "Project Nightingale," reports The Wall Street Journal. Neither the provider's doctors nor patients were made aware of the effort, according to the report. The Wall Street Journal's Rob Copeland wrote that the data amassed in the program includes "lab results, doctor diagnoses and hospitalization records, among other categories, and amounts to a complete health history, complete with patient names and dates of birth," and that as many as 150 Google employees may have had access to the data. The New York Times corroborated much of the report later in the day, writing that "dozens of Google employees" may have access to sensitive patient data, and that there are concerns that some Google employees may have downloaded some of that data. But Google tells The Verge that despite the surprise, it's standard industry practice for a health care provider to share highly sensitive health records with tech workers under an agreement like the kind it signed -- one that narrowly allows Google to build tools for that health care provider by using the private medical data of its patients, and one that doesn't require patients to be notified, the company claims.

Google secretly gathered millions of patient records across 21 states on behalf of a health care provider, in an effort dubbed "Project Nightingale," reports The Wall Street Journal. Neither the provider's doctors nor patients were made aware of the effort, according to the report. The Wall Street Journal's Rob Copeland wrote that the data amassed in the program includes "lab results, doctor diagnoses and hospitalization records, among other categories, and amounts to a complete health history, complete with patient names and dates of birth," and that as many as 150 Google employees may have had access to the data. The New York Times corroborated much of the report later in the day, writing that "dozens of Google employees" may have access to sensitive patient data, and that there are concerns that some Google employees may have downloaded some of that data. But Google tells The Verge that despite the surprise, it's standard industry practice for a health care provider to share highly sensitive health records with tech workers under an agreement like the kind it signed -- one that narrowly allows Google to build tools for that health care provider by using the private medical data of its patients, and one that doesn't require patients to be notified, the company claims.

Neural networks, particularly convolutional neural networks, have become more and more popular in the field of computer vision. What are convolutional neural networks and what are they used for? Recall from my earlier blog that a computer sees an image as an ordered set of pixels. We recall the notorious RGB red, green, blue (which is NOT the Notorious R.B.G., nor the Notorious B.I.G., so please don't get confused). Where each pixel is represented by three numbers from 0 to 255, giving the intensity of red, green or blue.

Artificial intelligence technology based on a deep learning model could help cardiologists predict irregular heart rhythms, known as atrial fibrillation, before it develops. WHY IT MATTERS That's the conclusion drawn from two studies to be presented at the American Heart Association Scientific Sessions 2019 and conducted by Geisinger researchers. A team of scientists trained a neural network to evaluate electrocardiograms to predict which patients were likely to develop an irregular heartbeat, using the AI model to analyze the results of 1.77 million ECGs and other records from almost 400,000 patients. Researchers trained deep neural networks using ECG results from across 30 years of archived medical records in Pennsylvania and New Jersey's Geisinger Health System, finding the AI was able to provide longer-term prognostication and more accurately identify at-risk patients. The model was also able to predict which patients would develop an irregular heartbeat, even when doctors interpreted the test results as normal, by analyzing 15 segments of data comprised of more than 30,000 data points for each ECG.

Financial institutions have a wealth of information available to them from consumers. Due to manual and antiquated models, residential lending processes so far have had several negative experiences for both the lender and the borrower. Banks are plagued with application limitations, transaction complexities and data collection and processing challenges. The'one-size-fits-all' loan application simply does not work anymore. The newly implemented and redesigned URLA (Uniform Residential Loan Application), aims to simplify, organize and streamline the entire consumer journey – from loan request, to the underwriting and approval process.

One thing about AI which you can't disagree is that it will reshape how all of us live and even have a deep impact on the work we do. Humanity will benefit to a great extent as people will waste less, live longer, work smarter, have a better understanding and will be able to predict anything which can be measured. However, one needs to be cautious with the benefits and promises AI and other computing technologies bring as there might be a certain risk. These risk can include threats to a job, privacy, security of a nation as well as public safety. Still, it doesn't hamper the extensive growth that artificial intelligence has and still making in today's era. It might be surprising to most people, but reports have shown that countries have taken the advancement and rise of artificial intelligence in the right step.

The first focuses on technology interacting with people. Part 2, which highlights technology advancements that will make the world tick. In 1981, Douglas Adams introduced the world to a universal translator via human augmentation. In "The Hitchhiker's Guide to the Galaxy," a bright yellow "Babel fish" is slipped into the hero Arthur Dent's ear to offer real-time translation from any language. It's a concept popularized in science fiction, but advancements in technology are making similar capabilities possible in 2019, albeit less invasive.