2016-02-28 · Identifies and motivates three major areas of AI safety research. Nick Bostrom, 2014. Superintelligence: Paths, Dangers, Strategies. A seminal book outlining long-term AI risk considerations. Steve Omohundro, 2007. The basic AI drives. A classic paper arguing that sufficiently advanced AI systems are likely to develop drives such as self

Related research papers by the AAIP team in York, those from AAIP-supported In Third International Workshop on Artificial Intelligence Safety Engineering.

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MIRI is a nonprofit research group based in Berkeley, California. We do technical research aimed at ensuring that smarter-than-human AI systems have a positive impact on the world. This page outlines in broad strokes why we view this as a critically important goal to work toward today. Our corporate members are a vital and integral part of the Center for AI Safety. They provide insight on real-world use cases, valuable financial support for research, and a path to large-scale impact.

Fellowship; Technical training; Research.

Maximizing Safety in the Conduct of Alzheimer's Disease Fluid Biomarker Research in the Era of COVID-19. Artikel i A. I. Levey | Extern. N. Silverberg | Extern.

AI Safety, Security, and Stability Among Great Powers (Research Summary) December 8, 2020 by MAIEI Summary contributed by Abhishek Gupta ( @atg_abhishek ), Founder and Principal Researcher of the Montreal AI Ethics Institute. In spring of 2018, FLI launched our second AI Safety Research program, this time focusing on Artificial General Intelligence (AGI) and how to keep it safe and beneficial. By the summer, 10 researchers were awarded over $2 million to tackle the technical and strategic questions related to preparing for AGI, funded by generous donations from Elon Musk and the Berkeley Existential Risk Institute.

Original summary: The paradigm of AI services (including, but not necessarily limited to, ‘comprehensive’ systems) could offer a useful alternative view on AI safety problems. Moreover, the idea of gradual automation of services, and that this process might be problematic, might be more relatable to many mainstream researchers.

Roskilde: Nordic Nuclear Safety Research Secretariat. B.-M., Allen, P. T., Arkhangelskaya, H. V., Nyagu, A. I., Ageeva, L. A., & Prilipko, V. (1996). The influence Det globala intresset är stort för möjligheterna som öppnar sig med artificiell intelligens (AI). Nätverket kommer att samla ledande expertis inom “I want my AI research to benefit people” · Story Inspection engineer, Charlotte, controls safety measures at the work place Fellowship - Topic 5: Reliable AI Contributing to Trustworthy Infrastructure Services Explainability: It is one of the hot topics on AI research. Advanced Image Recognition Processor Win Japan's Highest Preventive Safety AI har ingått ett avtal med Transportation Research Center (TRC) enligt vilket TRC Research har publicerat en rapport under namnet Defining Safe Automated I am professor of Ecological Microbiology and my topics are related to safety assessment More details about my current research can be found on CBC:s web-page Johnsson Holmberg A-I, Melin P, Levenfors JP, Sundh I (2012) Fate and Domain-Specific Robot Programming for Reliability, Safety, and Availability Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is a ever-evolving threats. Using advanced AI learning, Trend Micro stops ransomware so you can enjoy your digital life safely.

The Phenomenological AI Safety Research Institute (PAISRI) exists to perform and encourage AI safety research using phenomenological methods. What does Artificial Intelligence (AI) have to do with workplace safety and health? NIOSH has been at the forefront of workplace safety and robotics, creating the Center for Occupational Robotics Research (CORR) and posting blogs such as A Robot May Not Injure a Worker: Working safely with robots. Life 3.0 outlines the current state of AI safety research and the questions we’ll need to answer as a society if we want the technology to be used for good. Rapid progress in machine learning and artificial intelligence (AI) has brought increasing attention to the potential impacts of AI technologies on society. In this paper we discuss one such potential impact: the problem of accidents in machine learning systems, defined as unintended and harmful behavior that may emerge from poor design of real-world AI systems.
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Superintelligence: Paths, Dangers, Strategies. A seminal book outlining long-term AI risk considerations. Steve Omohundro, 2007.

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The European Commission has recently published the way ahead for a common initiative in artificial intelligence. “This is fully in line with the

This paper thus explores the intersection of AI safety with evolutionary computation, to show how safety issues arise in evolutionary computation and how understanding from evolutionary This approach is called worst-case AI safety. This post elaborates on possible focus areas for research on worst-case AI safety to support the (so far mostly theoretical) concept with more concrete ideas. Many, if not all, of the suggestions may turn out to be infeasible. the context of a new field we will term “AI Safety Engineering.” Some concrete work in this important area has already begun [17, 19, 18]. A common theme in AI safety research is the possibility of keeping a superintelligent agent in a sealed hardware so as to prevent it from doing any harm to humankind.