Artificial Intelligence, or AI, has moved from a science-fiction fantasy to a reality that is currently revolutionizing every global industry.
Thanks to predictive analytics, we have smarter machines that do more work more quickly, and the nature of AI algorithms means that these systems will only become more intelligent as they grow.
While there are countless benefits to the creation of this kind of adaptive technology, it does force us to ask ourselves whether or not our own jobs are under threat.
What makes AI different from other technological progress is the fact that these programs can “learn” as they go.
AI uses constant data inputs to train algorithms for different purposes. For example, an algorithm might analyze absenteeism at work and then start predicting who is likely to take time off work at what time.
The more data you feed into the machine, the more accurately it can start to forecast developments.
Naturally, this makes AI a powerful tool for any data-heavy tasks or industries, such as finance, insurance, and human resources. There are already AI-based programs helping to speed up various processes in these industries.
For the moment, these run in parallel to jobs that people do (or at least the jobs that are supervised by people). However, is it possible that the algorithms will get to a point where they can manage themselves?
AI software learns and gets better with every piece of new data, which makes them more efficient every day — which would make them the ideal employee.
However, there is a huge gap between AI for office use and the race to create a responsive being. It’s one thing writing code that helps you sort through information quickly; it’s quite another to try and recreate the human mind.
Software developers know the logic they need to implement to limit the learning capabilities of office-based AI software and would never put sensitive information at risk.
This means that there will not be a point at which AI replaces human jobs. Rather, these programs will assist all of us in completing mundane, data-based tasks more quickly and efficiently.
Instead of replacing people, AI is more likely to protect us from cyber threats. Finally, you can expect safe ransomware removal and anti-virus options that prevent data loss before it happens.
Algorithms can be fed data about viruses and security threats, and be trained to recognize threats in advance.
And the same is true of the real world. Analyzing social media trends and search patterns can help police to identify criminal activity. Global data can help doctors pick up diseases before they happen.
The ability to recognize patterns in heaps of data allows us to take preventative measures, and that’s where the most powerful applications of modern AI can be found.
Since the era of mass production, people have worried that machines will replace them on the factory flaw. While machinery and robots can handle some tasks, it’s easy to forget that the machines are manufactured, maintained, repaired, and updated by people.
Thankfully, the working environment has also changed since then. Fewer people complete manual tasks for a living. Most modern jobs expect us to complete an array of vastly different tasks simultaneously.
For example, web developers write code, create content, and handle client queries at the same time. Most importantly, they do it with creative nuance and style.
AI is still in its infancy and focused on programs that complete single tasks – and these are highly-specialized and sector-specific.
AI will help us work better, but there are some things that technology can never replace. No matter how advanced it gets, AI will never replace the arts, the compassion of a counselor, or the guidance of a dance instructor.
It is understandable to worry about a future where jobs are scarce because computers handle everything, but this will never happen.
As the information architects and programmers creating technology to help us process data will never be able to replicate the human mind, and so people will never be redundant.
It is far more valuable to embrace AI as another tool for working as efficiently as possible than to worry about being replaced by a piece of software.