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Google's AI chief says forget Elon Musk's killer robots, and worry about bias in AI systems instead

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Google's AI chief isn't fretting about super-intelligent killer robots. Instead, John Giannandrea is concerned about the danger that may be lurking inside the machine-learning algorithms used to make millions of decisions every minute. "The real safety question, if you want to call it that, is that if we give these systems biased data, they will be biased," Giannandrea said before a recent Google conference on the relationship between humans and AI systems. The problem of bias in machine learning is likely to become more significant as the technology spreads to critical areas like medicine and law, and as more people without a deep technical understanding are tasked with deploying it. Some experts warn that algorithmic bias is already pervasive in many industries, and that almost no one is making an effort to identify or correct it (see "Biased Algorithms Are Everywhere, and No One Seems to Care").


Google's AI chief says forget Elon Musk's killer robots, and worry about bias in AI systems instead

#artificialintelligence

Google's AI chief isn't fretting about super-intelligent killer robots. Instead, John Giannandrea is concerned about the danger that may be lurking inside the machine-learning algorithms used to make millions of decisions every minute. "The real safety question, if you want to call it that, is that if we give these systems biased data, they will be biased," Giannandrea said before a recent Google conference on the relationship between humans and AI systems. The problem of bias in machine learning is likely to become more significant as the technology spreads to critical areas like medicine and law, and as more people without a deep technical understanding are tasked with deploying it. Some experts warn that algorithmic bias is already pervasive in many industries, and that almost no one is making an effort to identify or correct it (see "Biased Algorithms Are Everywhere, and No One Seems to Care").


Google's AI chief says forget Elon Musk's killer robots, and worry about bias in AI systems instead

#artificialintelligence

Google's AI chief isn't fretting about super-intelligent killer robots. Instead, John Giannandrea is concerned about the danger that may be lurking inside the machine-learning algorithms used to make millions of decisions every minute. "The real safety question, if you want to call it that, is that if we give these systems biased data, they will be biased," Giannandrea said before a recent Google conference on the relationship between humans and AI systems. The problem of bias in machine learning is likely to become more significant as the technology spreads to critical areas like medicine and law, and as more people without a deep technical understanding are tasked with deploying it. Some experts warn that algorithmic bias is already pervasive in many industries, and that almost no one is making an effort to identify or correct it (see "Biased Algorithms Are Everywhere, and No One Seems to Care").


What is the future of artificial intelligence?

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In 2017, the predictive ability of artificial intelligence (AI) powered many new tools and platforms. So what does 2018 have in store for AI? I asked some marketers to find out. Gregg Johnson, CEO of Invoca, a call tracking and analytics service, says that 2018 will be "the year the voice trend becomes undeniable." "As people increasingly trade typing for talking, we'll see more companies invest in developing for voice interfaces," Johnson said.


?platform=hootsuite

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With the boom in digital technologies, the world is producing over 2.5 exabytes of data every day. To put that into perspective, it is equivalent to the memory of 5 million laptops or 150 million phones. The deluge of data is forecast to increase with the passing day and with it has increased the need for powerful hardware that can support it. This hardware advancement refers to faster computing or processing speed and larger storage systems. Companies worldwide are investing in powerful computing with the R&Ds constantly in the race for making improved processors.


The Future of Productivity: AI and Machine Learning

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I wanted to know what the future of artificial intelligence in project management would look like, so I reached out to founders, productivity experts and futurists who work in this space every day to ask what their predictions are for the next five and 10 years. We need to think of productivity systems as supporting systems for our decision process." Related: Rethinking Chatbots: They're Not Just for Customers Mark Mader, CEO at Smartsheet, thinks that thinking of AI as roving robots is missing the point, saying, "Looking further out, there's no doubt that automation -- don't think robots, think removing mundane and unproductive work steps from your day -- will increase. As a form of decision support, productivity expert Carl Pullein thinks that "machine learning and artificial intelligence [will move] towards creating productivity tools that can schedule your meetings and tasks for you and to be able to know what needs to be done based on your context, where you are and what needs to be done."


Rise of the robot workforce: Machine learning to shake up traditional employment - BizNews.com

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The so-called'fourth industrial revolution' is set to displace many career fields, introducing what could be the best of times and worst of times for workers, according to Dr. Roze Phillips, Managing Director for Accenture Consulting. We used to think it's just a low level administrative task, now machines are beating humans at jeopardy, and they're beating humans at poker. So, be digital, embrace digital, embrace connectivity, use the data that is now available, and absolutely embrace learning because that's how you're going to be change strong. I believe a World Economic Forum, to be honest, is diversity in motion, that's what I call it.


How AI is transforming the future of fintech

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These use neural networks to predict behaviour, financial indicators and so on. "In the history of finance there has always been fraud," says WIRED Money 2017 speakerJoern Leogrande, executive vice president of mobile services at Wirecard. But from a retailer's perspective, you have to do something about this because what we see - and this is pretty obvious - is the kind of power and investment technology companies like Amazon are stepping into… There is tremendous change coming." Fintech aspires to the same promise, and services like Wirecard, Nutmeg, Schmidhuber's lab's work on AI that can outthink a human banker or trader by a thousand-fold, are examples of how it can deliver.


A Sneak Peek at the Future of Artificial Intelligence & the Newest Trends in Machine Learning

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Almost all the industries including manufacturing, healthcare, construction, online retail, etc. Machine learning technology is constantly evolving and the current trends in the field promise that every enterprise will be data driven and will have the capacity of using machine learning in the cloud to incorporate artificial intelligence apps. The three newest machine learning trends that will make this possible are Data Flywheels, The Algorithm Economy, and Cloud Hosted Intelligence. The coming age of artificial intelligence will include mining of medical records to provide better and faster health services.


A Sneak Peek at the Future of Artificial Intelligence & the Newest Trends in Machine Learning

#artificialintelligence

Almost all the industries including manufacturing, healthcare, construction, online retail, etc. Machine learning technology is constantly evolving and the current trends in the field promise that every enterprise will be data driven and will have the capacity of using machine learning in the cloud to incorporate artificial intelligence apps. The three newest machine learning trends that will make this possible are Data Flywheels, The Algorithm Economy, and Cloud Hosted Intelligence. The coming age of artificial intelligence will include mining of medical records to provide better and faster health services.