The end is nigh! A killer robot has been taught how to hunt predators

AITopics Original Links

Scientists have taught a robot how to hunt and destroy prey in a chilling new experiment. The test comes as experts warm AI could wipe out a tenth of the global population in five years. The ability to identify and zone in on a specific target will be crucial for any useful robotic technology like driverless cars, the researchers at the University of Zurich in Switzerland believe. And despite the chilling prospect of allowing a robot to mark up a target, they believe their research will prove more useful than deadly. Scientists have taught a robot how to hunt and destroy prey in a chilling new experiment.


The end is nigh! A killer robot has been taught how to hunt predators

#artificialintelligence

Scientists have taught a robot how to hunt and destroy prey in a chilling new experiment. The test comes as experts warm AI could wipe out a tenth of the global population in five years. The ability to identify and zone in on a specific target will be crucial for any useful robotic technology like driverless cars, the researchers at the University of Zurich in Switzerland believe. And despite the chilling prospect of allowing a robot to mark up a target, they believe their research will prove more useful than deadly. Scientists have taught a robot how to hunt and destroy prey in a chilling new experiment.


Towards Moral Autonomous Systems

arXiv.org Artificial Intelligence

Both the ethics of autonomous systems and the problems of their technical implementation have by now been studied in some detail. Less attention has been given to the areas in which these two separate concerns meet. This paper, written by both philosophers and engineers of autonomous systems, addresses a number of issues in machine ethics that are located at precisely the intersection between ethics and engineering. We first discuss the main challenges which, in our view, machine ethics posses to moral philosophy. We them consider different approaches towards the conceptual design of autonomous systems and their implications on the ethics implementation in such systems. Then we examine problematic areas regarding the specification and verification of ethical behavior in autonomous systems, particularly with a view towards the requirements of future legislation. We discuss transparency and accountability issues that will be crucial for any future wide deployment of autonomous systems in society. Finally we consider the, often overlooked, possibility of intentional misuse of AI systems and the possible dangers arising out of deliberately unethical design, implementation, and use of autonomous robots.


Global Bigdata Conference

#artificialintelligence

News concerning Artificial Intelligence (AI) abounds again. The progress with Deep Learning techniques are quite remarkable with such demonstrations of self-driving cars, Watson on Jeopardy, and beating human Go players. This rate of progress has led some notable scientists and business people to warn about the potential dangers of AI as it approaches a human level. Exascale computers are being considered that would approach what many believe is this level. However, there are many questions yet unanswered on how the human brain works, and specifically the hard problem of consciousness with its integrated subjective experiences.


The Future of Artificial Intelligence (AI)

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His research focuses at the intersection of computer vision, AI, machine learning, and graphics, with particular emphasis on systems that allow people to interact naturally with computers. These projects include the UK's biometric matching system and the International Technology Alliance research programme into novel sensor networks. Dr Waggett has extensive experience of innovative IT systems, including research into image processing at University College London and the Marconi Research Centre. His work includes responsibility for the delivery of innovative systems for a range of government and commercial organisations and he has been the Big Data subject matter expert for a range of projects and clients including the UK's biometric visa matching system.