BBC: To prepare for a future where AI will likely disrupt entire industries, some say we’ll have to rethink how we educate future generations – “Estimates about how much of the workforce could be automated vary from about 9% to 47%. The consultancy McKinsey estimates up to 800 million workers globally could be displaced by robotic automation by 2030. Some jobs will change dramatically, while others will disappear altogether. So if automation makes the job market a little like a game of musical chairs, is there a way to make sure you’re still employed when the music stops? Can education help you robot-proof your career? Future-proofing your career is less about picking a safe job and more about constantly updating your skills throughout your career, according to Northeastern University president Joseph Aoun, who wrote Robot-Proof: Higher Education in the Age of Artificial Intelligence. He says education needs to change dramatically if workers are to adapt to this new environment. His solution, which he calls humanics, has three basic pillars:
- Technical ability: understanding how machines function and how to interact with them. As both artificial intelligence and robotics become ever more capable, machines will step into roles once monopolised by humans. Some employees won’t last, but others will find themselves working with machines, and probably being vastly more productive as a result. Workers with a grounding in coding and engineering principles will be better placed to thrive in this new kind of workplace.
- Data discipline: navigating the sea of information that’s generated by these machines. Workers will need data literacy to read, analyse and use the almost bottomless troves of information that are increasingly guiding everything from major business decisions to stock picks to purchasing decisions.
- And the human discipline: “which is what we humans can do that machines for the foreseeable future, cannot emulate.” Aoun says this includes creativity, cultural agility, empathy and the ability to take information from one context and apply it to another. In educational terms, this means less emphasis on the classroom and a greater emphasis on experiential learning…”