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Google and the Oxford Internet Institute explain artificial intelligence basics with the 'A-Z of AI'

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Artificial intelligence (AI) is informing just about every facet of society, from detecting fraud and surveillance to helping countries battle the current COVID-19 pandemic. But AI is a thorny subject, fraught with complex terminology, contradictory information, and general confusion about what it is at its most fundamental level. This is why the Oxford Internet Institute (OII), the University of Oxford's research and teaching department specializing in the social science of the internet, has partnered with Google to launch a portal with a series of explainers outlining what AI actually is -- including the fundamentals, ethics, its impact on society, and how it's created. The Oxford Internet Institute is a multidisciplinary research and teaching department of the University of Oxford, dedicated to the social science of the Internet. At launch, the "A-Z of AI" covers 26 topics, including bias and how AI is used in climate science, ethics, machine learning, human-in-the-loop, and Generative adversarial networks (GANs).


AI-powered app analyzes the user's voice to determine if they are infected with the coronavirus

Daily Mail - Science & tech

Americans are increasingly being spotted wearing face masks in public amid the coronavirus pandemic, as are people are around the globe. Soon, the Centers for Disease Control and Prevention (CDC) may advise all Americans to cover their faces when they leave the house, the Washington Post reported. The agency is weighing that recommendation after initially telling Americans that they didn't need to wear masks and that anything other than a high-grade N95 medical mask would do little to prevent infection any way. Research on how well various types of masks and face coverings varies but, recently, and in light of the pandemic of COVID-19, experts are increasingly leaning toward the notion that something is better than nothing. A University of Oxford study published on March 30 concluded that surgical masks are just as effective at preventing respiratory infections as N95 masks for doctors, nurses and other health care workers.


Nick Bostrom: Simulation and Superintelligence AI Podcast #83 with Lex Fridman

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Nick Bostrom is a philosopher at University of Oxford and the director of the Future of Humanity Institute. He has worked on fascinating and important ideas in existential risks, simulation hypothesis, human enhancement ethics, and the risks of superintelligent AI systems, including in his book Superintelligence. I can see talking to Nick multiple times on this podcast, many hours each time, but we have to start somewhere. This conversation is part of the Artificial Intelligence podcast.


Talent Transformation Guild - Experts turning to AI in the battle to combat Covid-19 (Coronavirus)

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As well as increasing the efficiency of organizations, Martin Belton explains how AI is helping us in the fight against coronavirus. As fears over the Covid-19 coronavirus continue to grow, scientists are turning to artificial intelligence to help them understand more and combat it at every level. Online technologies have already helped organisations to compile a number of online resources which provide up-to-date information about the disease. These include Healthmap from Oxford University and John Hopkins University's Coronavirus Resource Centre. And AI is already helping us to understand how we can reduce the spread of Covid-19.


Bowel cancer: Artificial intelligence can reduce overtreatment and wrong treatment

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In 2018, more than 4,500 people in Norway were treated for colon cancer. This is the most common cancer in Norway with a rapid increase over the past 50 years, according to the Norwegian Cancer Society (NCS). A new method, based on artificial intelligence, can now make sure many of these patients don't get overtreated or wrongly treated. "For many people, there is no effect of the treatment and it is just a nuisance," said Håvard Danielsen, professor at the University of Oxford and the Department of informatics at the University of Oslo. "We want to stop treating or give another treatment to these patients."


Women in Tech - We Need More of You to Join the Machine Learning Revolution

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Let's talk about our current tech revolution and women's involvement in it. These are troubling times, on multiple fronts. Something we need to remind ourselves on a regular basis especially for those in the tech industry and tech leadership. I was reading a few articles about this topic and would like to discuss two points. I dug a little more to find the source of that 97% and found a more complete list of all the jobs that could go away with automation in an article in The Telegraph entitled "These are the jobs most at risk of automation according to Oxford University: Is yours one of them?" Word to the wise, if yours is on the top of the list, start looking for a safer alternative by scrolling down, way down.


FLI Podcast- Artificial Intelligence: American Attitudes and Trends with Baobao Zhang - Future of Life Institute

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Artificial intelligence is already inextricably woven into everyday life, and its impact will only grow in the coming years. But while this development inspires much discussion among members of the scientific community, public opinion on artificial intelligence has remained relatively unknown. Artificial Intelligence: American Attitudes and Trends, a report published earlier in January by the Center for the Governance of AI, explores this question. Its authors relied on an in-depth survey to analyze American attitudes towards artificial intelligence, from privacy concerns to beliefs about U.S. technological superiority. Some of their findings--most Americans, for example, don't trust Facebook--were unsurprising. But much of their data reflects trends within the American public that have previously gone unnoticed. This month Ariel was joined by Baobao Zhang, lead author of the report, to talk about these findings. Zhang is a PhD candidate in Yale University's political science department and research affiliate with the Center for the Governance of AI at the University of Oxford. Her work focuses on American politics, international relations, and experimental methods. In this episode, Zhang spoke about her take on some of the report's most interesting findings, the new questions it raised, and future research directions for her team.


Work is a fundamental part of being human. Robots won't stop us doing it

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Hardly a week goes by without a report announcing the end of work as we know it. In 2013, Oxford University academics Carl Frey and Michael Osborne were the first to capture this anxiety in a paper titled: "The Future of Employment: How susceptible are jobs to computerisation?". They concluded 47% of US jobs were threatened by automation. Since then, Frey has taken multiple opportunities to repeat his predictions of major labour market disruptions due to automation. In the face of threats to employment, some progressive thinkers advocate jettisoning our work ethic and building a world without work.


Is Artificial Intelligence (AI) A Threat To Humans?

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Are artificial intelligence (AI) and superintelligent machines the best or worst thing that could ever happen to humankind? This has been a question in existence since the 1940s when computer scientist Alan Turing wondered and began to believe that there would be a time when machines could have an unlimited impact on humanity through a process that mimicked evolution. Is Artificial Intelligence (AI) A Threat To Humans? When Oxford University Professor Nick Bostrom's New York Times best-seller, Superintelligence: Paths, Dangers, Strategies was first published in 2014, it struck a nerve at the heart of this debate with its focus on all the things that could go wrong. However, in my recent conversation with Bostrom, he also acknowledged there's an enormous upside to artificial intelligence technology.


Data Science:Data Mining & Natural Language Processing in R

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Learn to carry out pre-processing, visualization and machine learning tasks such as: clustering, classification and regression in R. You will be able to mine insights from text data and Twitter to give yourself & your company a competitive edge. My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals.