Artificial Intelligence is expected to handle many things in the future; is predicting that future one of them? In a recent Article by The Economist, an AI called GPT-2, created by Openai, was asked to do just that. GPT-2 answered questions on the big themes for 2020. At this time of year, predictions are front and center. What did our AI have to say about the year ahead? Read the article to see how GP2 answered these questions.
In a recent book, Richard Baldwin takes us on a fascinating journey to the past, and then provides a peak into the next great transformation. In The Globotics Upheaval, Mr. Baldwin describes a cycle that has played out multiple times throughout human history. The cycle of transformation, upheaval, backlash and resolution (Let’s call it TUBS) was experienced each time the world entered periods of major disruption. Mr. Baldwin introduces the Globotics Transformation as the third great economic transformation to shape our societies over the past three centuries. As he describes, the first was known as the Great Transformation started in the early 1700s, and it switched societies from agriculture to industrial and from rural to urban. The second started in the early 1970s, shifting the focus from industry to services – the Services Transformation. I take a different view of transformation in the context of Tipping Points – but the cycle is the same.
Add Singapore to the list of Nations establishing a Smart Nation agenda. In a recent Article authored by Eileen Yu, she describes the launch of Singapore’s national artificial intelligence (AI) strategy. The Singapore government aims to drive AI adoption to generate economic value and provide a global platform on which to develop and test AI applications. As future scenarios go, Smart Nations represent a complex intersection of multiple ecosystems – broader than similar complexities associated with the Smart City scenario.
“When considering potential risks from future technology, one should not be content with merely analyzing what’s likely to happen—instead, one should look at what’s possible, even if unlikely.” – Jaan Tallinn, founding member of Skype, and co-founder of the Centre for the Study of Existential Risk
Very well said. I’m a big believer in that quote – the reason I spend so much time painting pictures of possible futures. Mr. Tallinn expects the backbone of technology in the 2020s to be defined by gradual improvements in biotechnology, nanotechnology, and Artificial Intelligence. What else can we expect in the next decade? A recent Article by George Dvosrsky – a senior staff reporter at Gizmodo – explores the futuristic developments in the next ten years.
Although I believe prediction in this era is a fools errand, we can look at the trajectory of our Science and Technology Curve to make some informed guesses. That’s precisely what the above article attempts to do. Here are the author’s informed guesses.
Maurice Conti is the Chief Innovation Officer at Alpha focused on what he calls the Augmented Age. He talks about it this way: We’re heading for a future where our natural human capabilities are going to be radically augmented in three ways: Computational systems will help us think. Robotic systems will help us make. And a digital nervous system will connect us to the world far beyond what our natural nervous system can offer.
I recently ran into a TCS colleague at a forum in which I presented. Ryan Metz is a Data Scientist working at our Cornell Innovation Lab. Ryan mentioned an Article he had written about the short term impact of AI – versus the long term concerns voiced by the likes of Elon Musk and Stephen Hawking. As he states in the article, the long term concern is that we will produce machines so intelligent that we lose control over them. They will become a new form of life that rules over us as we do the the animal kingdom.
Two recent articles highlight the dilemma faced in this era of rapid innovation: the potential to enhance humanity, and the opportunity to diminish it. This article on DeepFakes describes the challenge that society will face as Deepfake video and audio make it impossible to tell the difference between reality and fiction. Audio attacks using convincing forgeries can send stocks plummeting or soaring. How about mimicking a CEO’s voice to request a senior financial officer to transfer money? These are real examples provided by Symantec. This short Video describes the money transfer scenario.