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Never mind the far-off specter of doomsday; AI is a threat right now. There is a wealth of empirical evidence showing that the use of AI systems often replicate historical and contemporary conditions of injustice, rather than alleviate them.


A New AI Ethics Center Investigates Growing Anxiety About Intelligent Machines - IntelligentHQ

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The pace of progress in artificial intelligence is scaring many people, that feel threatened by the huge impact automation might have on employment, and other areas such as the development of autonomous weapons. A question growing in the heads of experts, deeply aware of the impact of AI on society, is how to understand and predict what can happen, when increasingly automated complex systems fail, or go off track. As John Danaher wrote in the Institute for Ethics & Emerging Technologies, "Artificial intelligence is a classic risk/reward technology. If developed safely and properly, it could be a great boon. Trying to deliver some answers to this and other questions, Carnegie Mellon University just launched a new center, entitled K&L Gates Endowment for Ethics and Computational Technologies.


UK Introduces New Fast-Track Visa to Attract Scientists

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British Prime Minister Boris Johnson introduced a new fast-track visa to attract more of the world's best scientists to the U.K. in hopes of creating a global science "superpower." Johnson paired the announcement of the Global Talent route program with a pledge of 300 million pounds ($392 million) for research into advanced mathematics. The money will help fund researchers and doctoral students whose work in math underpins myriad developments such as safer air travel, smart phone technology and artificial intelligence. The new visa route will have no cap on the number of people able to come to the U.K. under the program. "The UK has a proud history of scientific discovery, but to lead the field and face the challenges of the future we need to continue to invest in talent and cutting edge research,'' Johnson said in a statement.


Poor data is hindering machine learning, US drug development, study says: A lack of proper data is hurting the use of machine learning to develop drugs, which could put U.S. drugmakers at a competitive disadvantage compared to other countries, according to a report from the U.S. Government Accountability Office and the National Academy of Medicine.

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A lack of proper data is hurting the use of machine learning to develop drugs, which could put U.S. drugmakers at a competitive disadvantage compared to other countries, according to a report from the U.S. Government Accountability Office and the National Academy of Medicine. Machine learning is a type of artificial intelligence that involves using data to train computers to make decisions and learn from experiences, according to Pharmaphorum. It has the potential to cut costs of research and development for drugmakers by helping researchers to predict what will and won't work in clinical trials. However, the report says a lot of the data being used in drug development is not suitable for machine learning purposes. There is a phenomenon known as "garbage in, garbage out," where a machine learning system can't produce credible results because of poor data, according to Pharmaphorum.


Regulation will 'stifle' AI and hand the lead to Russia and China, warns Garry Kasparov

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Garry Kasparov has warned that any attempts by the Government to regulate artificial intelligence (AI) could "stifle" its development and give Russia and China an advantage. The former world chess champion has become an advocate for AI development following his resignation from professional chess in 2005. He told The Telegraph that "the government should be involved" in helping researchers and private firms to develop AI in order to "pave the road" for the technology. However, he cautioned against governments attempting to regulate the technology too closely. "It's too early for the government to interfere," he said.


15 PhD positions in physics, materials science, chemistry, computer science, mathematics, artificial intelligence and/or electrical engineering

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Apply for a position in our exciting research on "Materials for Neuromorphic Circuits" (MANIC), and become part of the next generation of neuromorphic experts! Funded by the European Commission through the Horizon 2020 Marie Sklodowska-Curie ITN Programme, the MANIC network offers 15 high level fellowships for joint research on new materials for cognitive applications. The most talented and motivated students will be selected for advanced multidisciplinary research training, preferably starting July 2020. The scientific aim of MANIC is to synthesize materials that can function as networks of neurons and synapses by integrating conductivity, plasticity and self-organization. Successes in deep learning show that the paradigm of neuromorphic computing is very attractive.


The Road to Artificial Intelligence: An Ethical Minefield

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The term "Artificial Intelligence" conjures, in many, an image of an anthropomorphized Terminator-esque killer robot apocalypse. Hollywood movies, in recent decades, have served to only further this notion. Physicists and moral philosophers like Max Tegmark and Sam Harris, however, claim we need not fear a runaway superintelligence to adequately worry about the deleterious effects endemic to the AI space, but rather that competence on behalf of machines is a sufficiently frightening springboard from which an irreversibly harmful future can be launched. That said, there are currently a number of far more nefarious, insidious, and relevant ethical dilemmas which warrant our attention. In a world increasingly controlled by automated processes, rapidly approaching is a time in which adaptive, self-improving algorithms guide or even dictate most of the decisions that define human experience.


Top Quotes about AI, Automation and Robotics - Supply Chain Today

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"Artificial intelligence is growing up fast, as are robots whose facial expressions can elicit empathy and make your mirror neurons quiver." "In the long term, artificial intelligence and automation are going to be taking over so much of what gives humans a feeling of purpose." "I predict that, because of artificial intelligence and its ability to automate certain tasks that in the past were impossible to automate, not only will we have a much wealthier civilization, but the quality of work will go up very significantly and a higher fraction of people will have callings and careers relative to today." "Let's start with the three fundamental Rules of Robotics…. We have: one, a robot may not injure a human being, or, through inaction, allow a human being to come to harm. Two, a robot must obey the orders given it by human beings except where such orders would conflict with the First Law. And three, a robot must protect its own existence as long as such protection does not conflict with the First or Second Laws." "In 30 years, a robot will likely be on the cover of time magazine as the best CEO. Machines will do what human beings are incapable of doing. Machines will partner and cooperate with humans, rather than become mankind's biggest enemy."


Top Quotes about AI, Automation and Robotics - Supply Chain Today

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"Artificial intelligence is growing up fast, as are robots whose facial expressions can elicit empathy and make your mirror neurons quiver." "In the long term, artificial intelligence and automation are going to be taking over so much of what gives humans a feeling of purpose." "I predict that, because of artificial intelligence and its ability to automate certain tasks that in the past were impossible to automate, not only will we have a much wealthier civilization, but the quality of work will go up very significantly and a higher fraction of people will have callings and careers relative to today." "Let's start with the three fundamental Rules of Robotics…. We have: one, a robot may not injure a human being, or, through inaction, allow a human being to come to harm. Two, a robot must obey the orders given it by human beings except where such orders would conflict with the First Law. And three, a robot must protect its own existence as long as such protection does not conflict with the First or Second Laws." "In 30 years, a robot will likely be on the cover of time magazine as the best CEO. Machines will do what human beings are incapable of doing. Machines will partner and cooperate with humans, rather than become mankind's biggest enemy."