If we are going to make systems that are going to be more intelligent than us, it's absolutely essential for us to understand how to absolutely guarantee that they only do things that we are happy with.
It was hailed as the most significant test of machine intelligence since Deep Blue defeated Garry Kasparov in chess nearly 20 years ago. Google's AlphaGo has won two of the first three games against grandmaster Lee Sedol in a Go tournament, showing the dramatic extent to which AI has improved over the years. That fateful day when machines finally become smarter than humans has never appeared closer-yet we seem no closer in grasping the implications of this epochal event.
How do we learn the meaning of text from data? In other words, how can a machine truly understand the phrases that human beings blab into its search fields and microphone? The researchers at Google and elsewhere have settled on an answer to that question: machine learning; specifically, a form of artificial intelligence called neural networks-self-organising systems modelled on the way the brain works.
Today, AI is reality, thanks to big data analysis, exa-scale storage, and cloud technologies that complement AI algorithms with highly scalable methods to quickly access and analyze massive data sets. #ai
"Smart Wikis™ combine Artificial Intelligence and knowledge concepts with your existing IT to provide integrated collaborative working environments that anticipate each user's personal information needs and surround that user with seamless and non-obtrusive forms of assistance."
The world's biggest artificial intelligence companies, including Facebook and Google, have joined forces to mould the ethical rules that will govern how robots and computer programs behave in the future.
About time and welcome. I hope that those with experience of medical ethics are also involved. For two reasons; medicine is likely to be a major player and beneficiary of AI (eg personalised drugs) and medical ethics is a mature field that is used to responding to rapid innovation.
The government needs to get the ethical framework and regulation of artificial intelligence right and invest in skills training if it wants to make the most of the technology, the Government Office for Science has said.
Google answers these questions with the help from deep neural networks, a form of artificial intelligence rapidly remaking not just Google's search engine but the entire company and, well, the other giants of the internet, from Facebook to Microsoft.
"Artificial intelligence and increasing automation is going to decimate middle class jobs, worsening inequality and risking significant political upheaval, Stephen Hawking has warned."
There is quite a lot of confusion about the difference between AI and machine learning. While many big companies use them interchangeably, they are not the same thing. Related, sure, but different.
The DoNotPay artificial intelligence service, created by a 19-year-old student, is called the "world's first robot lawyer" and uses a step-by-step chat-like system that asks a series of questions to find out the details of the issued ticket and then highlight areas where you can appeal the fine.
The coming-of-age of artificial intelligence, 'social robots' and big data is having a massive impact on the way decisions are made in organisations. It follows that if we are to maximise know-how and expertise, the outputs from this technology-enabled channel must be integrated into how we work. Augmenting judgment and experience in this way also supports the move towards evidence-based decision making.
If you're out on the hunt for gathering insightful knowledge on AI, these two books are definitely going to be your food for thought, according to Bill Gates.
Despite improvements in cognitive technologies, that dream managerial scenario is still far from reality. Decisions that executives face don't necessarily fit into defined problems well suited for automation.
"Some bright bulb at Microsoft Research had the clever idea of turning a machine learning program loose on Twitter yesterday to learn how humans interact with each other. Humans, predictably, interacted terribly."
We can stay in command of AI for as long as we control resources and value exchange in the future. However there is probably some minor chance that a self-improving AI will figure out how to wrest that control from us ... at some time in the future.