AI: A Convenient Truth
Don’t let worries of being replaced keep us from exploring the infinite potential of machine learning
Marc Cavendish
Head of Smart Technologies
AI is here to stay. It’s a fact, it’s inevitable and we might as well get used to machine learning because the time to adapt is now.
You might think that this sounds like a warning to those people concerned that a computer might take their job, but in fact, that couldn’t be further from the truth.
We are the problem. You and I are the single biggest threat to the successful implementation and use of AI and machine learning, not the other way around.
Rather than Chat GPT becoming the next Skynet or Copilot deciding that the three laws of robotics no longer apply (for the non-Terminator or I-Robot fans out there, just stick with me), it is far more likely that humans will cause irreparable damage to the potential positive impact of AI than the other way around.
The clue is in the name, ‘machine learning’. But who are they learning from? Well, in order for AI to pick up a concept or learn a behaviour in the first place, it has to be introduced to it by us.
That makes the role of humans in the rise of AI even more important than you might first think. Sure, a computer wouldn’t be able to generate detailed algorithms or solve complex problems without learning how to do so from a human. But, on the other hand, where else could a computer learn about hatred, bigotry and all the other ugly parts of humanity?
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What can go wrong?
A computer isn’t aware of nationalism, boundaries and conflict until it is introduced to these concepts by us. A computer programme is neither innately good nor innately bad, it is simply binary. In other words, it’s just a bunch of ones and zeros until we decide what or how it is to be put to use.
Bad actors among us are the real danger. As is often the case, we have to protect against the few spoiling it for the many. Those who, given the opportunity, will take advantage of AI and use machine learning to exploit others.
You may land on one side or the other when it comes to nature vs nurture, but it can’t be denied that AI is still very much like a newborn baby or a blank canvas, waiting to be imprinted upon.
Let’s take a moment and compare the glitz and glamour of Hollywood film productions with the reprehensible actions of online scammers.
We have to protect against the few spoiling it for the many.
In recent years, there has been a rise in the use of AI and digital technologies in films to overcome issues such as the untimely death of cast members. Thanks to the technology available, the deceased’s face can be mapped onto that of a different actor almost seamlessly. It’s a clever solution to an unfortunate problem. It also shows how using AI can have interesting and complex ethical implications regarding issues like consent.
But let’s take that very same technology and show how it can be used for more nefarious means. In recent years scammers have become even more sophisticated and difficult to detect thanks to this ‘deepfake’ technology. Let’s say a grandparent receives a facetime from someone they believe is, and looks just like, their granddaughter. The facetime connection isn’t the best, but to those who are a little less tech-savvy, everything seems normal.
The grandchild insists they are in a dire situation which means they need their grandparent to send over some money as soon as possible. Of course, like any good family member would, the grandparent obliges and sends the money over right away.
Except that wasn’t their granddaughter at all, just a scammer using AI to map moving images of the granddaughter onto their own face. Using a machine to mimic different emotions and expressions. Yes, this technology really exists and yes, the implications of it being put to use by the wrong people can be devastating.
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Good intentions = good results
It is down to the individuals using the technology to decide whether it will be used for the betterment of society or to harm their fellow man. That’s why it is up to us to make sure we get things right with AI. Machines learn from humans, so we need to make sure we have our best and brightest on the case. We also need individuals with a strong sense of ethics and morality.
Simply put, you get out what you put in. If they are put to use for unethical means, then we risk teaching machines to take on the worst aspects of humanity. Machine learning means that a computer programme can actually be bad. It can go beyond simple binary yes or no, but only as a result of learning bad things.
Resisting due to fear of being replaced is not the way forward. This risks driving the use of machine learning into the darker corners of society, which will only lead to widespread negative impacts as AI is put to use by bad actors. Rather, we need to accept the overall positive impact that this could have. We have to understand not only our role, but our responsibility to take advantage of the opportunity to get the best out of the technology.
Rather than replacing individuals, AI can remove some of the monotony from many jobs. It can automate processes that can often take up a lot of time. This can free up workers for more engaging and fulfilling work. It will give people more time for putting to use their interpersonal skills and emotional intelligence that machines still lack.
The responsibility lies with all of us
We’ve already discussed the risk that AI can be put to use in the world of cybercrime. But if we act now and harness the power of this technology responsibly and securely, it can be an incredibly powerful tool to combat cyber threats.
The responsibility for this spreads far and wide. From governments implementing legislation that encourages best practices, to businesses incorporating AI into their cyber security strategies. From AI developers designing robust systems that are resilient against potential misuse, to individuals taking the time to educate themselves on the kind of scams being perpetrated using this new technology.
As AI evolves rapidly, we must evolve with it. Along with significant opportunities, come significant threats. If we as individuals, if businesses, if governments are at a standstill while the technology continues to advance, then the results could be catastrophic. We must keep up with the pace and stay ahead of the curve to avoid being overrun by the potential negative impacts of the power of AI being harnessed by those who intend to use it for all the wrong reasons.
To finish on a Darwinian note, ‘survival of the fittest’ may not be the most apt way to put it when we are talking about AI. In this case, it’s survival for those who adapt. It’s survival for those who see that there is far more opportunity than risk attached to the use of machine learning. It’s possible to grant infinitely more choice to individuals on how they spend their time. First we must be willing to put the time in and make sure AI is implemented in the best ways possible.
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