"The global AI agenda: Promise, reality, and a future of data sharing" is an MIT Technology Review Insights report produced in partnership with Genesys and Philips. It was developed through a global survey conducted in January and February 2020 of over 1,000 executives across 11 different sectors and a series of interviews with experts having specific responsibility for or knowledge of AI. The article below is an extract of the full report. This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review's editorial staff.

The US Defense Advanced Research Projects Agency (DARPA) has announced substantial funding for a project it hopes will help to develop AI technologies capable of automatically analyzing how authoritarian regimes prevent the free flow of information online. Control over the internet has been a primary method for the restriction of information for many years now. It is exploited in diverse territories around the world to help spread propaganda and to prevent the dissemination of dissenting political opinions. This allows totalitarian regimes to maintain a stranglehold over the populace – particularly in and around election times. Now, the principal US agency charged with developing technologies for the military is asking for detailed submissions for research concepts funded by its Artificial Intelligence Exploration (AIE) branch.

The Chinese military are using artificial intelligence to track unidentified flying objects. Human analysis in the country have apparently been overwhelmed in recent years by the high number of sightings from the military and civilians, according to Chen Li from the Air Force Early Warning Academy, as reported by the South China Morning Post. "The frequent occurrence of unidentified air conditions in recent years … brings severe challenges to air defence security of our country," Chen wrote in a 2019 report to Beijing scientists. The organisation is increasingly relying on artificial intelligence because it can "think outside the box", Chen reportedly stated, meaning that it can link information from different times and locations in a way the human brain cannot. The Independent has contacted the Chinese embassy for more information.

Advertisements about those methods often mention how customers can sign up for policies faster, file claims more efficiently, and get 24/7 assistance, all thanks to AI. However, a recent Twitter thread from Lemonade -- an insurance brand that uses AI -- sheds light on this practice's potential issues. People saw it, then decided the Lemonade AI approach highlights how technology may hurt and help, depending on its application. Many companies don't divulge details about how they use AI. The idea is that keeping the AI shrouded in mystery gives the impression of a futuristic offering while protecting a company's proprietary technology.

Each M.Tech program comprises a total of 67-72 credits, where 35-40 credits for coursework, a two-credit seminar, and a year-long dissertation of 30 credits Roorkee (The Hawk): Indian Institute of Technology (IIT) Roorkee has launched two new M. Tech programs under the recently established Centre for Artificial Intelligence and Data Science (CAIDS). Artificial Intelligence (AI) and Data Science (DS) have the power to solve real-life problems and benefit humankind by harnessing valuable information from Big data. Academicians, professionals, policymakers, and business leaders are working towards creating a sustainable society with intelligent automation of complex real-life tasks powered by AI and DS. Such efforts provide better research opportunities and innovation leading to skill enhancement and empowerment of the Indian workforce. IIT Roorkee has set up a Centre for Artificial Intelligence and Data Science (CAIDS) with the above in mind.

Since graduating from a US university four years ago, Kevin Carballo has lost count of the number of times he has applied for a job only to receive a swift, automated rejection email - sometimes just hours after applying. Like many job seekers around the world, Mr Carballo's applications are increasingly being screened by algorithms built to automatically flag attractive applicants to hiring managers. "There's no way to apply for a job these days without being analysed by some sort of automated system," said Mr Carballo, 27, who is latino and the first member of his family to go to university. "It feels like shooting in the dark while being blindfolded - there's just no way for me to tell my full story when a machine is assessing me," Mr Carballo, who hoped to get work experience at a law firm before applying to law school, told the Thomson Reuters Foundation by phone. From Artificial Intelligence (AI) programs that assess an applicant's facial expressions during a video interview, to resume screening platforms predicting job performance, the AI recruitment industry is valued at more than $500 million (£350 million).

Pediatric behavioral health company Cognoa has received FDA De Novo classification for its autism spectrum disorder (ASD) software diagnostic aid, Canvas Dx. The ASD diagnostic tool is designed to help primary care clinicians and pediatricians evaluate and diagnose suspected cases of autism among children. It uses machine learning algorithms to analyze videos of the child's behavior and responses to questions uploaded by parents and caregivers to devise a diagnosis. Canvas Dx is indicated as an aid in the diagnosis of ASD in patients between the ages 18 months and 5 years old who are at risk of developmental delay based on concerns of a parent, caregiver or healthcare provider. It is not intended to be used as a standalone diagnostic device.

In brief Machines are like humans – they're lazy. When given the chance to take the easy route to complete an easy task, they will. Academics at the University of Washington found that algorithms trained to diagnose COVID-19 from chest X-rays often look at secondary features, such as a patient's age, rather than focusing on the images themselves – something known as shortcut learning. "A physician would generally expect a finding of COVID-19 from an X-ray to be based on specific patterns in the image that reflect disease processes," said Alex DeGrave, a medical science student at the American university and co-author of a paper published this week in Nature Intelligence. "But, rather than relying on those patterns, a system using shortcut learning might, for example, judge that someone is elderly and, thus, infer that they are more likely to have the disease because it is more common in older patients. The shortcut is not wrong per se, but the association is unexpected and not transparent. And, that could lead to an inappropriate diagnosis."

I explain Artificial Intelligence terms and news to non-experts. Wondering about the best ways to spot a deepfake? In this video, learn about a breakthrough US Army technology that uses artificial intelligence to find deepfakes. Read the full article: https://www.louisbouchard.ai/spot-deepfakes While they seem like they've always been there, the very first realistic deepfake didn't appear It went from these first-ever resembling fake images automatically generated to today's How can we tell what's real from what isn't?

This first blog post will focus on how Artificial Intelligence (AI) evolved throughout the years, I will mention and describe some of the milestones of this evolution and analyse how it became part of our lives and how it will become even more important in the future. Digital technology has been one of the fastest-growing tech in the history of mankind, today our phones have hundreds of GB of storage and process data faster than a computer would a few decades ago, the only other branches of technology that have developed this quickly are weapons. It is not rare to hear how computers were'as big as a room' but one of the most interesting examples of the leap of digital technology, specifically information technology, dates back to 1969 when a computer with only 14kb of ram steered and landed the Saturn V and its human hosts on the moon. To put that into perspective, the blog that I am now writing will occupy more than 14kb of space in my storage, nowadays, we are used of talking about Megabytes or Gigabytes, or even Terabytes. Using kilobytes for everyday use would be like weighing a person in grams.