AI’s effect on the workplace will not be limited merely to repetitive, production line-type jobs. Increasingly, it also enters the realm of highly trained knowledge workers. It will also affect those who manage workers currently employed in such jobs. AI likely will reshape jobs all the way up to the C-level offices. That doesn’t mean, though, that managers and executives will no longer be needed. They simply need to prepare themselves for shifts in their work responsibilities.
In my latest article Why AI Is Neither the End of Civilization nor the Beginning of Nirvana I argued that AI will bring...
In the summer of 1956, a small gathering of researchers and scientists at Dartmouth College, a small yet prestigious Ivy League school in Hanover, New Hampshire, ignited a spark that would forever change the course of human history. This historic event, known as the Dartmouth Workshop, is widely regarded as the birthplace of artificial intelligence (AI) and marked the inception of a new field of study that has since revolutionized countless aspects of our lives.
Origins of the Dartmouth Workshop
The idea for the Dartmouth Workshop was conceived by John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon. These visionary individuals...
In their outstanding book, Wicked and Wise, Alan Watkins and Ken Wilber look at some of the most pressing ‘wicked problems’ facing the human race. ‘Wicked problems,’ they suggest, are difficult to define, but they are essentially unsolvable in the usual scientific sense.
The authors go on: wicked problems, such as climate change, are multi-dimensional, have multiple causes, multiple stakeholders, multiple symptoms and multiple solutions. They are by definition complex and difficult to process.
Crucially, they are created or exacerbated by people.
Our species has proved capable of producing challenges of unfathomable difficulty. We may, however, also prove capable of developing the...
In 1956, at a workshop on the campus of Dartmouth College, in Hanover, New Hampshire, the field of artificial intelligence (AI) was born. Attendants were buoyant. MIT cognitive scientist Marvin Minsky was quoted as saying, "Within a generation the problem of creating 'artificial intelligence' will substantially be solved."
This prediction turned out to be over zealous, but Minsky and his colleagues believed it wholeheartedly. What, then, is different today? What makes the current dialogue about AI more relevant and believable? How do we know that this is not another case of humans over estimating the development of technology?
For one thing,...
To remain competitive, organizations will increasingly have to innovate. As the speed of innovation increases, disrupting whole sectors, competitive intelligence, market intelligence even a bit of futurism will become essential skills.
Leaders will have to stay informed not only of macro trends in their industry but also in technology in general. And they will have to do more than merely report their findings to appropriate people higher in the organization. AI can easily do that. Instead, they will also have to develop a sense for how those trends could impact their organization, so they can assess how to get the...
Recent events have confirmed that the cyber realm can be used to disrupt democracies as surely as it can destabilize dictatorships. Weaponization of information and malicious dissemination through social media pushes citizens into polarized echo chambers and pull at the social fabric of a country. Present technologies enhanced by current and upcoming Artificial Intelligence (AI) capabilities, could greatly exacerbate disinformation and other cyber threats to democracy.
Robert Kagan in his recent Post essay, “The strongmen strike back,” insightfully states:
"What we used to regard as the inevitable progress toward democracy, driven by economics and science, is being turned on its...
If you’ve read the many predictions about the future of AI, you’ve likely found them to be wildly different. They range from AI spelling doom for humanity, to AI ushering in Golden Age of peace, harmony and culture, to AI producing barely a blip on society’s path toward ever-greater technological achievement.
Those three views – dystopian, utopian and organic – present issues we need to consider as we move deeper toward an AI-integrated future. Yet they also contain exaggerations and false assumptions that we need to separate from reality.
The Dystopian View of the AI Future
Those with a dystopian view of...
Canada has been investing in machine learning and artificial intelligence (AI) for longer than most of the industrialized world. Dr. Geoff Hinton of Google helped ignite the field of graphics processing unit (GPU) deep learning at the University of Toronto. Then he became chief scientific advisor to the Vector Institute, which in collaboration with the University, aims to produce the largest number of deep learning AI graduates and innovators globally. Meanwhile, Montreal, Quebec prides itself as the birthplace of AI. It’s the home of computer scientist Yoshua Bengio, who is another pioneer of AI technology. Hundreds of AI researchers...
It’s almost impossible to turn around nowadays without finding another article predicting the impact that AI and other emerging technologies – the so-called Fourth Industrial Revolution – will have on our future. It’s one of the hottest topics being discussed by forward-thinking business leaders today. And well it should be. The fact that we are on the cusp of dramatic change in how business, workplaces and our very lives are carried out is inescapable.
Some writers picture a utopia where humankind is freed from manual labor, where machines do all the work and all people receive a universal basic income...
If you’ve read the many predictions about the future of AI, you’ve likely found them to be wildly different. They range from AI spelling doom for humanity, to AI ushering in Golden Age of peace, harmony and culture, to AI producing barely a blip on society’s path toward ever-greater technological achievement.
Those three views – dystopian, utopian and organic – present issues we need to consider as we move deeper toward an AI-integrated future. Yet they also contain exaggerations and false assumptions that we need to separate from reality.
The Dystopian View of AI Future
Those with a dystopian view of emerging technologies...
Cybersecurity strategies need to change in order to address the new issues that Machine Learning (ML) and Artificial Intelligence (AI) bring into the equation. Although those issues have not yet reached crisis stage, signs are clear that they will need to be addressed – and soon – if cyberattackers are to be prevented from obtaining a decided advantage in the continuing arms race between hackers and those who keep organizations’ systems secure.
ML and AI can magnify existing vulnerabilities and open the door to new attack strategies. At the same time, though, they offer new tools to help organizations secure...
Today’s business leadership face a conundrum. Artificial Intelligence (AI) unquestionably will play an enormous role in the future of their organizations and the business environment in which they operate, but what effects will it have? Prognosticators have wildly different visions of the future it will create, ranging from causing the extinction of humanity to ushering in a Golden Age in which machines provide all humanity’s needs and free us to focus on altruistic service to one another and the advancement of human culture.
Both of these most commonly heard predictions are based on assumptions that lead to wild speculation that...
It seems everyone is talking about artificial intelligence (AI). Everyone. From senior executives to school kids, the hype - or dread - around this technology seems to be growing by the day. Much of this excitement, of course, has to do with the launch of generative AI applications like ChatGPT and Midjourney, which, for the first time perhaps, have given the average individual a felt sense of AI’s potential. That experience hasn’t just thrilled college students, designers and digital marketers, it has animated businesses and establishments across the world who are imagining an array of new commercial and public...
Where AI, robots, IoT and the so-called Fourth Industrial Revolution are taking us, and how we should prepare for it are some of the hottest topics being discussed today. Perhaps the most striking thing about these discussions is how different people’s conclusions are.
Some picture a utopia where machines do all work, where all people receive a universal basic income from the revenues machines generate and where, being freed from a need to work for wages, all people devote their time to altruism, art and culture. Others picture a dystopia where a tiny elite class uses their control of AI...
Growing reliance on AI will not likely result in any of the three most common views of how AI will affect our future. Each view is founded on assumptions that fail to consider all the realities of AI.
That leaves us, however, with an important question as we plan our company’s – and our own – future in an increasingly AI-enabled world: “What will that world look like?”
AI impact on economy
The effect AI will have on the economy is massive. Such was the conclusion of a 2017 PwC report, Sizing the prize: What’s the real value of AI for your business...