IBMVoice: Learning To Trust Artificial Intelligence Systems In The Age Of Smart Machines

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The term "artificial intelligence" historically refers to systems that attempt to mimic or replicate human thought. This is not an accurate description of the actual science of artificial intelligence, and it implies a false choice between artificial and natural intelligences. That is why IBM and others have chosen to use different language to describe our work in this field. We feel that "cognitive computing" or "augmented intelligence" -- which describes systems designed to augment human thought, not replicate it -- are more representative of our approach. There is little commercial or societal imperative for creating "artificial intelligence."


IBMVoice: Learning To Trust Artificial Intelligence Systems In The Age Of Smart Machines

@machinelearnbot

The term "artificial intelligence" historically refers to systems that attempt to mimic or replicate human thought. This is not an accurate description of the actual science of artificial intelligence, and it implies a false choice between artificial and natural intelligences. That is why IBM and others have chosen to use different language to describe our work in this field. We feel that "cognitive computing" or "augmented intelligence" -- which describes systems designed to augment human thought, not replicate it -- are more representative of our approach. There is little commercial or societal imperative for creating "artificial intelligence."


How We Can Build Trustworthy AI

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Science fiction movies like'The Terminator' and'I, Robot' have exhibited what might happen in case artificial intelligence goes rogue. Such dystopian fantasies about AI are widely discussed by experts and researchers in the field of AI as well. Many of these experts believe that super-intelligent AI systems will pose a significant threat to humanity in the near future. And, considering the untold potential of AI, this may soon become a reality. Developers need to understand public concerns over the development of AI systems.


If we ever want artificial general intelligence, governments need to invest in it

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Pretty much every tech startup that boasts its use of artificial intelligence is actually focused on an ultra-specific problem. Visual effects company Digital Domain has an AI algorithm that automates and enhances video editing; healthcare startup Babylon developed an AI chatbot to answer the constant barrage of patient questions. They do what they're supposed to. But they'll never lead to something more, something bigger. No matter how great these AI systems sound, no startup will ever stumble upon artificial general intelligence (AGI), which is essentially a complete, human-like AI system that has become truly intelligent.


FTC Hosts FinTech Forum on Artificial Intelligence and Blockchain Technologies JD Supra

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On Thursday, March 9th, the Federal Trade Commission (FTC) hosted a forum on the consumer implications of recent developments in artificial intelligence (AI) and blockchain technologies. This was the FTC's third forum on issues in FinTech. Previous FinTech Forums covered marketplace lending and crowdfunding and peer-to-peer payments. In opening remarks, the FTC acknowledged the benefits of technological developments in AI and blockchain technologies: AI promises better decision-making and personalized consumer technologies, while blockchain technologies would increase the efficiency of financial transactions and eliminate the need for the middleman, among other benefits. But, the FTC stressed that advancements in these technologies must be coupled with an awareness of and active engagement in identifying and minimizing associated risks.