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What You Need To Know Before You Start Working With Artificial Intelligence

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It seems like everyone is talking about artificial intelligence at the moment, and there's good reason for that. I firmly believe that the true value of AI – estimated to be worth $13 trillion to the global economy by 2030 – will be realized due to it being accessible to businesses of all shapes and sizes, not just multinational corporations. A vast and eclectic ecosystem of cloud-based, "as-a-service" platforms reduces the need for expensive infrastructure investments and also means that niche solutions exist to help automate solutions in every industry. But whether you're simply looking to use AI-augmented marketing tools or to implement machine learning and real-time data analytics from top to bottom of your organization, there are some important points to consider first. The cost of deploying AI may have fallen dramatically in the last decade, but it still requires an investment of time and money, and going into it half-cocked – simply because it seems like everyone else is doing it, and you have a fear of missing out – can be a recipe for an expensive disaster.


What can Humans Do to be Relevant in an Era of AI, ML and Robots

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Robots, AI and Automation are going to take over a lot of the jobs. We are constantly hearing this phrase all the time but the more pertinent question is how humans will find meaning in life. Just for a moment think if a lot of our jobs are taken away and even if we are provided universal basic income as it is being proposed (hotly debated of course) we will still have a lot of free time. The only way to be happy in those circumstances will be to find the real meaning of life. Here I have expanded each letter of the word meaning to see how we can handle ourselves.


The Continuous Evolution of Artificial Intelligence in Our Society

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Artificial intelligence is changing the modern workplace, raising important questions for our society. Everybody knows artificial intelligence (AI) is meant to bring a huge competitive edge to those who successfully adapt it. The challenge, however, is to identify what makes AI adaptation truly successful. In the past few years, we've seen many technology fads come and go. Maybe it didn't bring enough value.


Using artificial intelligence to improve reporting of medication errors

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Medical errors are more common than many people think, and the most frequent type comes from dispensing medication. However, non-critical errors are rarely reported. An interdisciplinary group of scientists led by Renjie Hu from the University of Iowa, Iowa City, U.S. has developed a computational methodology for predicting factors that make nurses more likely to report errors. This work is published with open access in the Elsevier journal Array. More people in the US die from medical errors every year than from breast cancer, AIDS and car accidents combined.


Artificial Intelligence (AI) Trust Measurement » Brinkwire

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Public trust in AI varies greatly depending on the application, according to researchers. The rise of artificial intelligence (AI) in society prompted University of Tokyo researchers to investigate public attitudes toward AI ethics. Their findings quantify how different demographics and ethical scenarios influence these attitudes. The team developed an octagonal visual metric, similar to a rating system, as part of this research, which could be useful to AI researchers who want to know how their work is perceived by the general public. Many people believe that technology's rapid advancement outpaces that of the social structures that implicitly guide and regulate it, such as law and ethics.


Measuring Trust in Artificial Intelligence (AI)

#artificialintelligence

Prompted by the increasing prominence of artificial intelligence (AI) in society, University of Tokyo researchers investigated public attitudes toward the ethics of AI. Their findings quantify how different demographics and ethical scenarios affect these attitudes. As part of this study, the team developed an octagonal visual metric, analogous to a rating system, which could be useful to AI researchers who wish to know how their work may be perceived by the public. Many people feel the rapid development of technology often outpaces that of the social structures that implicitly guide and regulate it, such as law or ethics. AI in particular exemplifies this as it has become so pervasive in everyday life for so many, seemingly overnight.


Measuring trust in AI

#artificialintelligence

Prompted by the increasing prominence of artificial intelligence (AI) in society, University of Tokyo researchers investigated public attitudes toward the ethics of AI. Their findings quantify how different demographics and ethical scenarios affect these attitudes. As part of this study, the team developed an octagonal visual metric, analogous to a rating system, which could be useful to AI researchers who wish to know how their work may be perceived by the public. Many people feel the rapid development of technology often outpaces that of the social structures that implicitly guide and regulate it, such as law or ethics. AI in particular exemplifies this as it has become so pervasive in everyday life for so many, seemingly overnight.


Data reveals people do not trust AI weapons

#artificialintelligence

New Tokyo based research finds that public trust in AI varies widely depending on the person and application. Researchers at the University of Tokyo have shown how different demographics and ethical scenarios affect attitudes towards artificial intelligence. The complexity of Artificial Intelligence compared to more familiar technology can seem frightening, unfamiliar technology can breed fear and mistrust. Technology progresses at such a rapid pace that it threatens to move past the laws put in place to regulate it therefore for the study, the team developed an octagonal visual metric similar to that of a rating system, in order to fully understand the intricacies of public opinion on the safety of AI. There were two questions the team sought to answer through their surveys: how attitudes change depending on the scenario presented to a respondent, and how the demographic of the respondent themselves changed attitudes.


Researchers find public trust in AI varies greatly depending on the application

#artificialintelligence

Prompted by the increasing prominence of artificial intelligence (AI) in society, University of Tokyo researchers investigated public attitudes toward the ethics of AI. Their findings quantify how different demographics and ethical scenarios affect these attitudes. As part of this study, the team developed an octagonal visual metric, analogous to a rating system, which could be useful to AI researchers who wish to know how their work may be perceived by the public. Many people feel the rapid development of technology often outpaces that of the social structures that implicitly guide and regulate it, such as law or ethics. AI in particular exemplifies this as it has become so pervasive in everyday life for so many, seemingly overnight.


Measuring Trust in AI

#artificialintelligence

Prompted by the increasing prominence of artificial intelligence (AI) in society, University of Tokyo researchers investigated public attitudes toward the ethics of AI. Their findings quantify how different demographics and ethical scenarios affect these attitudes. As part of this study, the team developed an octagonal visual metric, analogous to a rating system, which could be useful to AI researchers who wish to know how their work may be perceived by the public. Many people feel the rapid development of technology often outpaces that of the social structures that implicitly guide and regulate it, such as law or ethics. AI in particular exemplifies this as it has become so pervasive in everyday life for so many, seemingly overnight.