4 Industries Using Generative AI The Right Way

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Artificial intelligence is a technology we eagerly want to use. Much has been said about its supposed benefits and how it can help with everything from running a business to coming up with a website’s meta description. Nevertheless, there are right and wrong ways of using AI.

The “wrong” way is to leverage this technology without any ethical considerations. You use AI to store and collect data from consumers without them knowing. Another key issue is using generative AI to recreate art or content without people’s permission – or to place a preference on this over human beings generally.

What is the “right” way to use AI? Most experts and professionals agree that using AI is beneficial in one way or another. Using it the “right” way means you do so ethically and without completely compromising other people. In other words, you don’t get rid of an entire team and replace it with ChatGPT. You also don’t use AI-generated art and pass it off as an original piece, etc.

On that topic, which industries are using generative AI the right way in 2024? We did some digging and discovered the following:

Retail

The retail industry leverages AI technology to improve the shopping experience for consumers. Shopping assistants are more common across various websites – like Amazon or Walmart. These AI-powered assistants take prompts from users to come up with product suggestions based on their interests or previous shopping habits. It brings new functionality to e-commerce sites enjoyably and ethically.

We’re also seeing a rise in generative AI through visual search. Instead of typing products or keywords into a search engine, you can point your camera at something and AI identifies it and conducts a search to help you find it. This innovation improves convenience for consumers with absolutely no negative effects on humans working behind the scenes.

Gaming

Video games have used AI for years, and they’ve been utilizing it more and more in recent times. Big game developers use generative AI to support visual artists and production teams in creating hugely expansive worlds. The design team still has the final say and can dictate how a world looks, but it’s created in a fraction of the time.

Then, you see the impact of CharGen and similar AI-generative technologies on role-playing games and character customization. Gamers can create their characters using generative AI, providing more customization than ever before. As well as choosing how their player looks, they can make background stories through visuals or videos. It’s bringing traditional RPG board games to life – though we may also see this level of AI character generation seep into bigger video games as well.

The gaming world treads a fine line between using AI in the right and wrong ways. For now, it’s used as a tool to complement the work of artists and developers. We can only hope it stays that way in the future.

Healthcare

There’s no better example of AI used correctly than in the healthcare industry. This is a sector where AI is truly used to assist, not replace. Artificial intelligence will never replace doctors and other medical professionals – but it can improve their processes and lead to more accurate diagnoses.

Generative AI is being introduced to radiography as a way of augmenting medical images. Radiographers still need to take the images and report them physically, but AI is used to enhance visuals, making it easier to spot problems. Some hospitals are toying with the idea of using AI to generate projections from images as well.

For instance, they take the original X-ray and use AI to demonstrate how a disease might progress if left untreated. Ideas like this help medical teams explain situations to patients – there’s really no downside to it at all.

Finance

AI helps fraud detection teams spot unusual behavior and clamp down on things before they get out of hand. Additionally, generative AI is used in the finance sector to help financial advisors and investors. Data analytics with AI power behind it can look at possible forecasts and provide predictions of what’s to come.

Again, this is the “right” way to use AI as it goes alongside the human being. Financial advisors aren’t under threat; they merely have a new tool to improve their overall service to clients.

The sad reality is that we can conjure up many more examples of industries using AI in the wrong way. It’s still relatively new, which means it takes time for companies and individuals to work out how to use it. If you’re keen to adopt AI technologies in your line of work, then always follow some key rules. Use it to assist rather than to replace, and be sure it is used ethically.