Facebook’s systems could not see the threats. It’s not simply that AI failed to spot the elephant in the room; AI was in a completely different room. The threats were real enough, but it took the individuals at the head of the organisation to realise, belatedly, that these were issues that had to be tackled. Facebook’s shares have plummeted over the last year, and it is now recruiting thousands of people –with real human intelligence—to weed out the untruths and the fake accounts.
Using AI to help you make better decisions
And that brings us back to the key point: deciding where to invest energy and resources requires lateral thinking, intuition and creativity – areas where humans trump machines. Managers within companies will have to devote an increasing amount of their time and energy to these right-brain activities. And they need to develop a more sophisticated understanding of what AI is capable of doing – and its limitations. This is emphatically not saying that a good manager will have to be a programmer. But she or he will need to have sufficient understanding of any AI system at least to be able to evaluate the information coming from it: to what extend can an answer be relied upon?
To use a somewhat trite example, if my SatNav tells me to use a particular route for a journey, I want to know whether it is taking into account traffic jams and roadworks. Similarly, if a computer programme tells me that a particular company’s stock is undervalued and therefore worth buying, I want to know on what basis it’s making that judgement.
And consider this. If I’m a fund manager and I have a piece of software that indicates when a stock is cheap or expensive, it’s inevitable that I won’t be the only fund manager using the software. Thousands of my competitors will be doing the same. If that’s the case, any potential profit from following the software’s advice is likely to disappear in an instant. The only way to show an above-average return will be by being a contrarian and taking investment decisions that go against the AI grain. As Terry Pratchett said, “Real stupidity beats AI every time.”
An ability to evaluate the output of AI, creativity, imagination, drawing strands of inspiration from disparate sources and a willingness to challenge orthodoxy – these are the capabilities organisations need to develop in a world where AI becomes increasingly widespread. But no less important will be the manager’s efforts to encourage colleagues to give expression to these quintessentially human talents.
Using AI to become a more effective manager or leader
That will mean creating a corporate environment in which radical thinking and experimentation are fostered and nourished: mavericks should be given freedom to come up with new and sometimes crazy ideas. Some experiments will fail, but that has to be seen as simply part of the cost of exploiting creativity. In a static state, AI may give sound guidance on where to allocate resources in the short term: its output is rational. But the really important decisions – about how much to devote to research and development or to training, and in which areas – demand very human attributes.
And, as more and more information becomes available to an ever-expanding cohort of individuals in a firm, the role of managers will have to evolve. For generations, managers’ status was bolstered by being the conduit through which information was disseminated, and by their exercise of control. No longer. The value that managers can add will increasingly come from using “softer” attributes to motivate and get the most from their employees.
These human qualities will increasingly be at a premium within an organisation. Take the case of a General Practitioner (GP). When you visit your doctor, she will have every detail of your medical history, and she will have access to AI-based technology which will allow more rapid and more accurate diagnosis of your condition. Does that mean she is becoming an increasingly unnecessary intermediary? Not at all. Access to all that data allows the doctor to make quick and well-informed judgements about your health prospects. And crucially, it frees up time to build a relationship with the patient. Don’t underestimate the importance of this. Evidence suggests that people who sustain a one-to-one relationship with an individual doctor over time are likely to live longer than people who see a different GP each time they visit a surgery.
The march of AI – in medicine, in education, in public administration, in charities, in organisations of all types – will not stop. It presents threats, but it also brings countless opportunities. Humans and all their distinctive qualities will become ever more important in the quest for success.
Comments (0)
You must be a registered user to add a comment here. If you’ve already registered, please log in. If you haven’t registered yet, please register and log in.
Login/Create a Profile