Artificial intelligence is becoming the fastest disruptor and generator of wealth in history. It will have a major impact on everything. Over the next decade, more than half of the jobs today will disappear and be replaced by AI and the next generation of robotics.
AI has the potential to cure diseases, enable smarter cities, tackle many of our environmental challenges, and potentially redefine poverty. There are still many questions to ask about AI and what can go wrong. Elon Musk recently suggested that under some scenarios AI could jeopardise human survival.
AI’s ability to analyse data and its accuracy is enormous. This will enable the development of smarter machines for business. But at what cost and how will we control it? Society needs to seriously rethink AI’s potentials, its impact to both our society and the way we live.
Artificial intelligence and robotics were initially thought to be a danger to be blue-collar jobs, but that is changing with white-collar workers – such as lawyers and doctors – who carry out purely quantitative analytical processes are also becoming an endangered species. Some of their methods and procedures are increasingly being replicated and replaced by software .
For instance, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory, Massachusetts General Hospital and Harvard Medical School developed a machine learning model to better detect cancer.
They trained the model on 600 existing high-risk lesions, incorporating parameters like, family history, demographics, and past biopsies. It was then tested on 335 lesions and they found it could predict the status of a lesion which 97 per cent accuracy, ultimately enabling the researchers to upgrade those lesions to cancer.
Traditional mammograms uncover suspicious lesions, then test their findings with a needle biopsy. Abnormalities would undergo surgeries, usually resulting in 90 per cent to be benign, rendering the procedures unnecessary. As the amount of data and other potential variables are considered, human clinicians cannot compete at the same level of AI.
So will AI take the clinicians job or will it just provide a better diagnostic tool, freeing up the clinicians to provide better connection with their patients?
Confusion around the various terminologies relating to AI can warp the conversation. Artificial general intelligence (AGI) is where machines can successfully perform any intellectual task that a human can do – sometimes referred to as “strong AI”, or “full AI”. That is where a machine can perform “general intelligent actions”. […]