If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Last year, it was revealed that Amazon's facial recognition software, 'Rekognition' matched Congresspeople's headshots with photos from inside a mugshot database. In total, 28 members of Congress were falsely identified as other people that had previously been arrested for committing criminal offenses. The false matches were disproportionate toward people of color, including six members of the Congressional Black Caucus, among these was civil rights activist Rep. John Lewis. In July of 2018, the American Civil Liberties Union conducted an independent analysis using the same default settings that Amazon's Rekognition software uses. This analysis ran a check on the whole of Congress against 25,000 publicly available arrest photographs.
When tech entrepreneur David Heinmeier Hansson recently took to Twitter saying the Apple Card gave him a credit limit that was 20 times higher than his wife's, despite the fact that she had a higher credit score, it may have been the first major headline about algorithmic bias you read in your everyday life. It was not the first -- there have been major stories about potential algorithmic bias in child care and insurance -- and it won't be the last. The chief technology officer of project management software firm Basecamp, Heinmeier was not the only tech figure speaking out about algorithmic bias and the Apple Card. In fact, Apple's own co-founder Steve Wozniak had a similar experience. Presidential candidate Elizabeth Warren even got in on the action, bashing Apple and Goldman, and regulators said they are launching a probe.
In the golden age of Artificial Intelligence, healthcare is the new frontier of research and development. Surgeons are routinely using robotic assists to operate with less invasiveness and more precision. Gene sequencing and gene editing aided by AI is transforming the way scientists obtain cures for diseases. But, most notably, research is underway to allow AI to transform the way doctors diagnose patients. You have symptoms of a cold.
NEW YORK--China is eroding America's military superiority and conventional deterrence through the integration of artificial intelligence (AI) systems in its military strategies, operations, and capabilities, an independent U.S. federal commission warned, adding that the United States needs to step up investment in the technology and apply it to national security missions. China's communist regime has established research and development institutes to advance its military applications of AI. Those institutes are equivalent to the Defense Advanced Research Projects Agency (DARPA)--a U.S. agency under the Department of Defense responsible for the development of emerging technologies for military use. Military applications of AI technologies are being developed by Chinese researchers in the areas of "swarming, decision support, and information operations," while the country's defense industry is pursuing the development of "increasingly autonomous weapons systems," an interim report released by The National Security Commission on Artificial Intelligence said on Nov. 4. The Chinese Communist Party (CCP) declared it would be the world leader in AI by 2030, part of its broader strategy to challenge America's military and economic position in Asia, as Beijing also pursues a process of "intelligentization" as a new imperative of its military modernization.
Dan Jacobson, a research and development staff member in the Biosciences Division at the US Department of Energy's (DOE's) Oak Ridge National Laboratory (ORNL), has a few ideas. For the past 5 years, Jacobson and his team have studied plants to understand the genetic variables and patterns that make them adaptable to changing environments and climates. As a computational biologist, Jacobson uses some of the world's most powerful supercomputers for his work--including the recently decommissioned Cray XK7 Titan and the world's most powerful and smartest supercomputer for open science, the IBM AC922 Summit supercomputer, both located at the Oak Ridge Leadership Computing Facility (OLCF), a DOE Office of Science User Facility at ORNL. Last year, Jacobson and his team won an Association for Computing Machinery Gordon Bell Prize after using a special computing technique known as "mixed precision" on Summit to become the first group to reach exascale speed--approximately a quintillion calculations per second. Jacobson's team is currently working on numerous projects that form an integrated roadmap for the future of AI in plant breeding and bioenergy.
Technique key to scale up manufacturing of therapies from induced pluripotent stem cells. Researchers used artificial intelligence (AI) to evaluate stem cell-derived "patches" of retinal pigment epithelium (RPE) tissue for implanting into the eyes of patients with age-related macular degeneration (AMD), a leading cause of blindness. The proof-of-principle study helps pave the way for AI-based quality control of therapeutic cells and tissues. The method was developed by researchers at the National Eye Institute (NEI) and the National Institute of Standards and Technology (NIST) and is described in a report appearing online today in the Journal of Clinical Investigation. NEI is part of the National Institutes of Health.
The US office responsible for patents and trademarks is trying to figure out how AI might call for changes to copyright law, and it's asking the public for opinions on the topic. The United States Patent and Trademark Office (USPTO) published a notice in the Federal Register last month saying it's seeking comments, as spotted by TorrentFreak. The office is gathering information about the impact of artificial intelligence on copyright, trademark, and other intellectual property rights. It outlines thirteen specific questions, ranging from what happens if an AI creates a copyright-infringing work to if it's legal to feed an AI copyrighted material. It starts off by asking if output made by AI without any creative involvement from a human should qualify as a work of authorship that's protectable by US copyright law.
In any normal year, Cambridge Analytica would have been the biggest story. Facebook alone had a royal flush of scandals, including a huge data breach in September, becoming the subject of multiple class action lawsuits for discrimination, accusations of inciting ethnic cleansing in Myanmar, potential violations of the Fair Housing Act, and hosting masses of fake Russian accounts. Throughout the year, Facebook executives were frequently summoned to testify, with Mark Zuckerberg himself facing the US Senate in April and the European Parliament in May. News broke in March that Google was building AI systems for the Department of Defense's drone surveillance program, Project Maven. The news kicked off an unprecedented wave of tech worker organizing and dissent.
Mr Musk said: "I think there are a lot, a tremendous amount of investment going on in AI. "Where there is a lack of investment is in AI safety, and there should be, in my view, a government agency that oversees anything related to AI to confirm that it is – does not represent a public safety risk. "Just as there is a regulatory authority for, like the Food and Drug Administration, there's NHTSA for automotive safety, there's the FAA for aircraft safety. "We've generally come to the conclusion that it is important to have a government referee or a referee that is serving the public interest in ensuring that things are safe when there's a potential danger to the public.