Although most of us won’t be aware, Artificial Intelligence or AI has been used in day-to-day life for years. Virtual assistants like Siri or Alexa are great examples of AI in practice, supporting humans and making things more convenient.

But when ChatGPT launched, it made AI available to everyone and that’s when people started talking about machine learning and the ethics that brought up. 

This article looks at the basics and throws up quite a few questions!    

What is it?

I’m sure a lot of us have seen futuristic sci-fi films that show AI as sinister robots who become obsessed with getting rid of humanity! It makes for good viewing but isn’t what AI actually is.

AI refers to a machine or computer system’s ability to perform tasks that would normally need human intelligence. It is still guided by humans in that it needs programming for the systems to analyse data, learn by experiences and make smart decisions.

AI has great potential by enabling machines to solve complex problems and think intuitively, which takes it beyond automation.

The ethical question

AI is very powerful as it has the ability to act on vast amounts of data in seconds, but it’s vitally important that it is implemented responsibly – and that’s down to the programming. If AI were trained using date that hadn’t been properly checked and validated, it could replicate harmful biases about race, religion, upbringing, or other human characteristics. This could have disastrous results if that were then used in health, recruitment, or law for example! 

One of the key ethical concerns is around privacy and data protection. AI systems automatically collect data from databases across the world and there is a need to ensure that any personal information is protected and used responsibly. For example, facial recognition technology – often used on our phones or on social media platforms, raises questions about consent and potential misuse.  

Machine learning

Machine learning is about the ability of a computer system to learn from data without being explicitly programmed. A good example is spam filtering in emails – the email platforms can learn which messages are useful and which one could be potential harmful or useless.

Machine learning is all about algorithms, which are trained on massive amounts of data, which they learn to analyse to identify patterns, relationships, and trends. The one you’ll be most familiar with is the social media algorithms, which help the various platforms to push the right kind of ads to the right people, recognise things that go against community standards and ultimately can ban or restrict accounts. As we all know, they don’t always get it right and it can be very frustrating. 

Is AI a good thing?

AI has its place, as it can be used to teach machines to do mundane, boring jobs, such as assembling cars for example. They can do the job more quickly than humans, don’t need to take breaks or have a holiday and as they have no emotion (yet!) they don’t get bored or tired.

The downside is that companies and governments want to use it for lots of other tasks, mainly because it’s cheaper than paying a person, which brings up the ‘machines are going to take over our jobs’ scenario.

The future

It’s inevitable that technology will only advance and it’s increasingly likely that AI will be used in many different fields. But it’s important that it works flawlessly without threatening humans and their fundamental rights.

If we go back to the algorithm example, it’s important that humans still audit them properly to ensure that AI is functioning properly and not learning errors, which often happens with social media.

 It’s likely that AI will take over more tasks in the health and care sector, in education and in business. In my opinion, it just needs to be very closely monitored to ensure that it doesn’t take over peoples’ jobs and livelihoods. And the ethical side definitely needs to have plenty of built in controls to ensure that personal data and privacy is maintained to the highest level.