How I Learned To Stop Worrying And Love AI
The machines are rising! Robots are stealing our jobs! AI is making us obsolete! Maybe it’s inherited trauma from the Industrial Revolution, but in recent years people’s concerns about artificial intelligence have heightened, especially anxiety that the technology will replace human workers throughout the economy. It was even the basis of one 2020 presidential candidate’s campaign. Well, I bring a message of optimism. While AI will dramatically transform how work is done and who does it, its overall impact won’t be to displace humans but to augment them. And the myriad, miraculous ways that this technology will be able to improve people’s lives should excite and inspire.
Most of the fears of artificial intelligence are overblown if not altogether unfounded. For one thing, the machine-learning models that are being deployed in enterprises today are lightyears away from the kind of general intelligence that humans possess and that the public (with their Terminator and Ex Machina ideas of artificial intelligence) thinks of when it thinks of AI/ML. These models are all depth and no breadth: very powerful at what they’ve been trained to do—image recognition, speech-to-text, disease diagnosis—but extremely limited in the imaginative scope of what they can do beyond that. Today’s AI lacks a human child’s common sense ability to do something as simple as, say, reliably pick out a chihuahua from a blueberry muffin.
The gains in capacity and efficiency from artificial intelligence make it undeniable that AI is the future of software and will radically alter business. But it doesn’t therefore follow that people are the past of work. First of all, adoption of AI is likely to drive employment up, not down, as new jobs are created at the human-machine interface where people will be required to do new and different things. AI systems will need to be maintained to ensure they’re functioning properly and safely, for example. Chatbots will need to be trained. And it’s estimated that in order to administer the EU’s new General Data Protection Regulation, 75,000 new jobs will have to be created.
In the near term, there will be suffering for some. Automation inevitably makes the work of some individuals redundant or unnecessary. How we as a society cushion the losses and help those who are affected make the transition—be that UBI, retraining, or some other policy entirely—is beyond the scope of this piece, but their hardships shouldn’t be minimized. Past the initial shocks, however, the historical evidence is that automation tends to sharply increase an economy’s demand for overall labor and raise average wages.
Moreover, research has shown that companies that use AI to replace human workers only see short-term performance gains and miss out on the full potential of AI. The companies that see the most significant productivity improvements are those that have reimagined their business processes to optimize for collaboration between humans and machines. Artificial intelligence and machine learning enhance what human workers are able to do. With AI’s incredible analytical speed and scalability buttressing people’s creativity, sociability, and understanding, people are freed to focus on higher-level tasks that take advantage of uniquely human strengths.
In fact, far from replacing people, the most promising products being developed are the ones that marry human judgment and intuition with AI’s brute-force processing power. The reality is that because code has been commoditized, most innovation is now being created at the interface with end users—at the level where empathy is essential. Our robot overlords don’t yet understand what inspires and elevates us, or what our deep-down needs are, or how to build beautiful products that people have to have. Simply throwing more and more technology at a problem is never the answer. Consumers don’t care, ultimately, how advanced a company’s technology is; they care about how simple the solution it offers is. The truth is, in a world in which you can build almost anything, compassionate, human-centered entrepreneurs are more critical than ever to deciding what’s worth building in the first place.
The worthwhile possibilities with AI are endless. Think of a prediction system for farmers that provides real-time recommendations for increasing the productivity of their yield—including which crops to plant, the best areas to grow them, the amount of nitrogen the soil requires. Or an AI-based fraud-detection solution for banks, which monitors hundreds of millions of daily transactions to identify patterns of likely financial criminal activity. Think of “deepfake” images and videos created with the use of AI and so increasingly sophisticated that only with the use of the technology can they be revealed. Or imagine the potential of truly personalized medicine: drugs being discovered and created 10 times faster than it now takes, for a patient set so small that it would be diseconomic for today’s pharmaceutical companies. All of these applications of AI are in some stage of already happening now.
Artificial intelligence isn’t a Sarah Connor-killing, jobs-eradicating threat. It’s a tool, which in the past decade, has arrived at a point where it is finally practical to deploy across the tech ecosystem. There isn’t and won’t be a single AI company. Instead, you will see artificial intelligence woven into the fabric of everything—whether you’re interacting with a virtual personal assistant like Siri or Alexa, or trying to find the fastest route to the airport, or optimizing which color blouse you’d be most likely to buy from your monthly subscription commerce service, or how to detect malignant tumors long before they’re visible in CT scan, or how to tell whether your network is being compromised by a DDOS attack, or how to detect which drones flying above Levi’s Stadium are friend or foe.
And perhaps it’s only when a technology is fully integrated into daily life, and recedes into the background of our imagination, that people stop fearing it. After all, the most successful automations are no longer called robots—they’re called cruise control, washing machines, and elevators. So: be not afraid. The machines are rising, and they will carry us higher.
This article originally appeared on forbes.com To read the full article and see the images, click here.
Nastel Technologies helps companies achieve flawless delivery of digital services powered by middleware. Nastel delivers Middleware Management, Monitoring, Tracking, and Analytics to detect anomalies, accelerate decisions, and enable customers to constantly innovate. To answer business-centric questions and provide actionable guidance for decision-makers, Nastel’s Navigator X fuses:
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