Artificial Intelligence, Research, and Why We Don’t Need to Worry About HAL9000

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halby Angela Guess

A member of the Frost & Sullivan team recently wrote, “One of the critical errors made when discussing AI is imagining robots like HAL9000 or a computer with a human voice trying to end the world like in War Games. All great fun, sure. But not a useful guide to better understand how businesses are changing. AI will be incorporated into existing software as new functionality like IBM Watson or Microsoft Azure. It will also be driven by new startups offering some form of machine learning, machine vision or natural language processing. The language used will differ but broadly we are talking about AI-based software.”

The article continues, “The introduction will go unnoticed and unlike discussion about artificial general intelligence with human-like abilities, there will be no ethical debate. The software will be differentiated by its ability to complete increasingly complex tasks like identifying objects and human emotions in videos or to summarising millions of articles in an infographic. Advances in machine vision and natural language processing are most noticeable in driverless cars and speaking robots, but it is their impact in the hum-drum world of research that could be just as revolutionary.”

It goes on, “Ellipse, the first product from Thoughtly, is one of the first, but certainly not the last to apply artificial intelligence to research. Using natural language processing to analyse, visualise and summarise large volumes of text in real-time. This is the first of many products that will use AI allowing researchers to search greater numbers of documents and sources and pull out greater insight more quickly. This will make existing researchers more productive reducing the overall number required for any task, and in the aggregate reduce the number of research-based jobs.”

Read more here.

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