When we're talking about robots taking people's jobs, we're speaking of automation.
Mechanical automation, like car assembly lines, has been around for a while.
Software automation, also known as process or work automation, involves using code to automate tasks that humans would otherwise have to do, like creating an invoice in an accounting program.
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Low-skill jobs, where 70% of the responsibilities are predictable physical and cognitive tasks, are straightforward to automate, especially as automation technology becomes cheaper than paying a human to do the same job.
Complex tasks that require creativity and other forms of higher-order thinking are very difficult to automate. The reason is that you need cognitive technology like AI (artificial intelligence) and automation together. At this point, AI is still limited.
Artificial Intelligence lacks social intelligence and human warmth.
Depending on the pace of automation development, we could see some higher-order tasks being automated.
If you think about it, your job has probably already changed. You're not doing everything by hand. In terms of scale, the changes society experience now are similar to about 100 years ago, at the start of industrialization.
Many jobs now focus more on creativity, decision-making and other forms of higher-order thinking.
In advanced economies, up to a third of the workforce might need to learn new skills and find new occupations by 2030.
To avoid being out of work later, it is best to start upskilling now:
A joint effort of commitment and communication is essential for a thorough approach to automation and has to be led by top management.
Apart from IT, all stakeholder groups like HR, Operations, Business Units have to be engaged, and communicate consistently.
Algorithms determines things like who qualifies for nutrition assistance or public housing. While they do work fine sometimes, the other times they misfire.
Bots and automation is also being used by governments in the criminal justice system. These algorithms are generally not open and inspected by the public and there's not a lot of accountability for them. As a result, we end up with these mysterious machines making these decisions that affect millions.