The Association for the Advancement of Artificial Intelligence's 2021 Spring Symposium Series was held virtually from March 22-24, 2021. There were ten symposia in the program: Applied AI in Healthcare: Safety, Community, and the Environment, Artificial Intelligence for K-12 Education, Artificial Intelligence for Synthetic Biology, Challenges and Opportunities for Multi-Agent Reinforcement Learning, Combining Machine Learning and Knowledge Engineering, Combining Machine Learning with Physical Sciences, Implementing AI Ethics, Leveraging Systems Engineering to Realize Synergistic AI/Machine-Learning Capabilities, Machine Learning for Mobile Robot Navigation in the Wild, and Survival Prediction: Algorithms, Challenges and Applications. This report contains summaries of all the symposia. The two-day international virtual symposium included invited speakers, presenters of research papers, and breakout discussions from attendees around the world. Registrants were from different countries/cities including the US, Canada, Melbourne, Paris, Berlin, Lisbon, Beijing, Central America, Amsterdam, and Switzerland. We had active discussions about solving health-related, real-world issues in various emerging, ongoing, and underrepresented areas using innovative technologies including Artificial Intelligence and Robotics. We primarily focused on AI-assisted and robot-assisted healthcare, with specific focus on areas of improving safety, the community, and the environment through the latest technological advances in our respective fields. The day was kicked off by Raj Puri, Physician and Director of Strategic Health Initiatives & Innovation at Stanford University spoke about a novel, automated sentinel surveillance system his team built mitigating COVID and its integration into their public-facing dashboard of clinical data and metrics. Selected paper presentations during both days were wide ranging including talks from Oliver Bendel, a Professor from Switzerland and his Swiss colleague, Alina Gasser discussing co-robots in care and support, providing the latest information on technologies relating to human-robot interaction and communication. Yizheng Zhao, Associate Professor at Nanjing University and her colleagues from China discussed views of ontologies with applications to logical difference computation in the healthcare sector. Pooria Ghadiri from McGill University, Montreal, Canada discussed his research relating to AI enhancements in health-care delivery for adolescents with mental health problems in the primary care setting.
Artificial Intelligence has impacted almost every aspect of human life, leaving large amounts of manual jobs to computers, and allowing humans to pursue intelligent jobs. However, in the future, there may be a time when intelligent jobs are also done artificially. Even more unsettling is the possibility that machines will become more intelligent than humans. Although there is little consensus on this topic, such an event is almost certain to happen. We can only hope that we have found a way to make AI "friendly", or share humans interests beforehand.
Be prepared in the near future when you gaze into the blue skies to perceive a whole series of strange-looking things – no, they will not be birds, nor planes, or even superman. They may be temporarily, and in some cases startlingly mistaken as UFOs, given their bizarre and ominous appearance. But, in due course, they will become recognized as valuable objects of a new era of human-made flying machines, intended to serve a broad range of missions and objectives. Many such applications are already incorporated and well entrenched in serving essential functions for extending capabilities in our vital infrastructures such as transportation, utilities, the electric grid, agriculture, emergency services, and many others. Rapidly advancing technologies have made possible the dramatic capabilities of unmanned aerial vehicles (UAV/drones) to uniquely perform various functions that were inconceivable a mere few years ago.
A group of high school students was one of the top teams to emerge from the recent AI Tech Sprint by the Department of Veterans Affairs, delivering a web application that could help match cancer patients to clinical trials. The three students from Northern Virginia entered their work in a competition that included software companies like Oracle Healthcare and MyCancerDB. Digital consulting company Composite App took the $20,000 first place prize for its solution -- a tool for helping patients stay on track with their care plan -- but the clinical trials team got an honorable mention. The tech sprint was organized by the VA's new AI institute, and it focused on partnering with outside organizations and companies interested in applying artificial intelligence tools and techniques to VA data. The high school team's members -- Shreeja Kikkisetti, Ethan Ocasio and Neeyanth Kopparapu -- met as part of the Northern Virginia-based nonprofit Girls Computing League.
Decades of research in artificial intelligence (AI) have produced formidable technologies that are providing immense benefit to industry, government, and society. AI systems can now translate across multiple languages, identify objects in images and video, streamline manufacturing processes, and control cars. The deployment of AI systems has not only created a trillion-dollar industry that is projected to quadruple in three years, but has also exposed the need to make AI systems fair, explainable, trustworthy, and secure. Future AI systems will rightfully be expected to reason effectively about the world in which they (and people) operate, handling complex tasks and responsibilities effectively and ethically, engaging in meaningful communication, and improving their awareness through experience. Achieving the full potential of AI technologies poses research challenges that require a radical transformation of the AI research enterprise, facilitated by significant and sustained investment. These are the major recommendations of a recent community effort coordinated by the Computing Community Consortium and the Association for the Advancement of Artificial Intelligence to formulate a Roadmap for AI research and development over the next two decades.
These transformations will open up new opportunities for individuals, the economy, and society, but they have the potential to disrupt the current livelihoods of millions of Americans. Whether AI leads to unemployment and increases in inequality over the long-run depends not only on the technology itself but also on the institutions and policies that are in place. This report examines the expected impact of AI-driven automation on the economy, and describes broad strategies that could increase the benefits of AI and mitigate its costs. Economics of AI-Driven Automation Technological progress is the main driver of growth of GDP per capita, allowing output to increase faster than labor and capital. One of the main ways that technology increases productivity is by decreasing the number of labor hours needed to create a unit of output.
Machines are eating humans' jobs talents. And it's not just about jobs that are repetitive and low-skill. Automation, robotics, algorithms and artificial intelligence (AI) in recent times have shown they can do equal or sometimes even better work than humans who are dermatologists, insurance claims adjusters, lawyers, seismic testers in oil fields, sports journalists and financial reporters, crew members on guided-missile destroyers, hiring managers, psychological testers, retail salespeople, and border patrol agents. Moreover, there is growing anxiety that technology developments on the near horizon will crush the jobs of the millions who drive cars and trucks, analyze medical tests and data, perform middle management chores, dispense medicine, trade stocks and evaluate markets, fight on battlefields, perform government functions, and even replace those who program software – that is, the creators of algorithms. People will create the jobs of the future, not simply train for them, ...
Swedish startup Gavagai AB, a language technology company that originated at the Swedish Institute of Computer Science, has mastered 40 human languages with its language analysis software. Now, researchers from the KTH Royal Institute of Technology are teaming up with Gavagai AB to take on the language of dolphins, in a project undoubtedly focused as much on testing and expanding the system's capabilities as deciphering the thoughts of dolphins. The team will monitor bottlenose dolphins in a wildlife park and use Gavagai's artificial intelligence (AI) language analysis technology to decode the sounds and, if all goes according to plan, compile a dictionary of dolphin language. The team is confident that they'll be able to do this, thanks not only to the AI capabilities of the Gavagai AB system, but also to the availability of more dolphin data, larger computational resources, and newer recording methods. "We hope to be able to understand dolphins with the help of artificial intelligence technology," KTH adjunct professor and Gavagai co-founder Jussi Karlgren said in an interview with Bloomberg.
Five actors gathered in a room on Lafayette Street, in downtown Manhattan, to start rehearsing a new work for the Public Theatre, "Joan of Arc: Into the Fire." Written by David Byrne, formerly of the Talking Heads, the show recast the enduring, improbable story of Joan--a teen-age girl in medieval France who experienced divine visions, led an army to defeat an occupying power, and was burned at the stake for heresy--as a rock musical that spoke to the current political moment. It was early January, and, that morning, U.S. intelligence officials had arrived at Trump Tower to brief the President-elect, Donald Trump, on the findings of an investigation into the recent election, in which they had concluded that President Vladimir Putin, of Russia, had acted to insure the defeat of Hillary Clinton. Inauguration Day was looming, and the rehearsal room had a troubled mood that reflected more than the ordinary anxieties of creating a show. The actors arranged four tables into a rectangle and sat down with Alex Timbers, the director of "Joan of Arc." Timbers, who is thirty-eight, is tall and fine-featured. He wore a denim shirt and black jeans that hung off his lanky, slightly hunched frame. His hair is dark and thick, and he frequently runs a hand through it, like a Romantic poet on deadline. Despite the air of disquiet, Timbers, who talks like a cool high-school teacher--lots of vocal fry, the repeated use of "awesome"--addressed the cast with rousing enthusiasm. He explained that, though the show had been in development for two years, it remained a work in progress. "I don't think anything is sacred--we are going to be building this together," Timbers said to the actors, all of whom were men except for Jo Lampert, a thirty-one-year-old newcomer, who was to play Joan. Timbers presented a scale model of the stage design, which had been conceived by Chris Barreca. When built, the set would be black and austere, and filled with enormous L.E.D. screens. A staircase extended from wing to wing, and at center stage there was a vertiginous platform. The set was on a turntable, and as it revolved it represented everything from a cathedral to a prison tower.