Can Responsible AI Mitigate the Risks of Generative AI? Let’s Find Out

Generative AI can be incredible and it totally deserves the attention and praise it gets throughout the world for its ability to generate an incredible amount of content that is only getting more realistic by the day.

Generative AI is helping the world in the most profound way possible and its benefits can be seen in the business world and even in the healthcare industry.

It is transforming the ability of small and medium-sized businesses to compete with industry giants in the form of custom AI solutions and high-quality content.

It is helping content creators come up with brand new ideas and also the execution of these ideas.

This is the reason why the global Generative AI market is expected to reach nearly $200 billion by the end of 2032 and even touch the $250 billion mark by 2033.

This speaks volumes of the transformative potential of this incredible technology.

However, not everything about a Generative AI is sunshine and rainbows because there are certain challenges and risks with such a powerful technology of immense potential.

If you have the power to create brand new content in the form of images and videos as well as audio, then some ethical considerations just creep into the conversation.

If you gift people the power to generate content just with a few lines of text then it can even be utilised for malicious purposes.

That is exactly what we are going to talk about in this blog, we will understand how Generative AI is incredible but also the risks associated with Generative AI.

Along with that, we will also find some possible solutions to mitigate those risks in the form of responsible AI so that the world can only utilise the benefits of AI and not the problems associated with it.

Let us start by understanding what is Generative AI.

What Is Generative AI?

Artificial Intelligence (AI) comes in all shapes and sizes and Generative AI is a category of AI that is specifically trained to generate realistic content in the form of images and text as well as videos, music, 3D models, code and everything you can think of.

Generative AI utilises Generative Adversarial Networks (GANs)?and Transformers which are neural networks to analyse different patterns from data sets in order to train itself.

This is utilised to replicate those patterns and generate new content.

Generative AI can be utilised for:

Text Generation

Text generation is one of the most common use cases of Generative AI in the form of tools like GPT (Generative Pre-trained Transformer).

These can be utilised for generating anything from something as simple as a poem to something as complex as entire marketing strategies.

Image Generation

Image generation is slowly taking on as the second most popular type of Gen AI utilization as we are seeing powerful AI models and tools like DALL-E and MidJourney being utilised to generate high-quality images.

Image generation can be utilised by everyone from businesses to independent creators and social media influencers to create excellent content for all their needs.

Video Generation

Although it is still not as popular or mainstream as the other forms of Generative AI content generation like images and text, video generation is taking off as a very powerful tool.

While we have seen use cases of limited capabilities of a Gen AI in order to transform existing videos but we are now seeing Gen AI being utilised to create entire videos with prompts.

This can be seen in effect in popular Gen AI video creation tools such as Adobe Firefly.

Audio Generation

Generative AI has the unique capability of analysing music and it can even break down music into its basic composition structure.

It is able to identify patterns and sounds and different scales of instruments and voices as well as tonality and mimic them in the form of audio generation.

This helps Generative AI create entirely new compositions and can be utilised for everything from creating sound effects to creating entire audiobooks and so much more.

Code Generation

While code generation is certainly one of the niche use cases of Gen AI but it is also the one with amazing potential.

Generative AI is able to understand the context and generate code snippets or even generate entire programs of code for custom situations.

This has the power to completely transform how we do coding and even people without coding knowledge can code with the help of Gen AI.

Generative AI has the power to revolutionise every industry we know of but it comes with its own set of challenges and risks, let us look at the risks of Generative AI.

These are the Potential Risks of Generative AI

Discrimination/Bias

One of the key problems with Generative AI is discrimination and while this is not really intentional but usually happens when stereotypes are unintentionally introduced into the data.

This means datasets can be biased and can contain more information about a certain racial group or gender that might make the AI make discriminatory decisions.

However, it is not the fault of the model but rather it is the problem with the datasets and this usually happens when there is not enough information or a lot of similar information about certain social economic groups or gender or even race.

The problem with this is that this can have real-life consequences when it comes to utilising AI in important decision-making roles such as loan approval and even in other series utilizations like hiring someone.

Piracy

Intellectual property rights violations are a very common problem with AI because Generative AI can be utilised to create any kind of content.

That content is technically new content that should not cause problems when it comes to piracy and intellectual property rights violations.

However, the thing that happens is that Generative AI sometimes produces results that resemble actual works of art and intellectual property that exist in real life and have been created by other people.

This can unintentionally mean copyright violations.

Misinformation

Generative AI is not perfect and you should never utilise any information generated using AI without fact-checking it.

This is such a serious problem and such a well-known problem that we even have very famous examples of Google’s own AI model coming up with misleading and incorrect answers and even dangerous misinformation as results. ?

There is this very famous example where Gemini was asked about an article by the satirical news agency The Onion. Gemini was not able to identify satire and proceeded to treat the article as a real one.

Work Misuse

Generate AI can bring into question the ethics of professionalism for employees because it is always easier to get something done with Generative AI.

For example, if you are a writer and you have been tasked to write a detailed article about Android smartphones and how they are evolving, it might seem very lucrative to just open ChatGPT and ask it to write the article for you.

However, that is not what you are being paid to do and your clients are expecting content written by a human and not something written by AI. Using Generative AI in certain professional settings can thus be cheating the clients.

Similarly, this can be done for every kind of job and especially jobs that require creativity. ?However, if you do that then it will bring into question the entire idea of work professionalism.

Educational Misuse

Educational misuse is one of the most serious concerns about the ethics of generative AI and in order to understand this we have to understand why this is done.

Imagine you are a student who is applying for his PhD about a very critical neuroscience topic that actually has the potential to save lives in the world.

It is going to take you at least 3 years of research in order to come up with a paper on this very critical and important topic.

If you decide to use ChatGPT or even a complex AI algorithm to write the paper then you might receive your PhD but it will be dangerous to the entire humanity.

There are some things that AI should never do and education is one of them and especially the validation of education.

However, this is something that is very common as students all over the world are cheating on their exams using Generative AI.

Deepfakes

If you want to look at one of the most dangerous implications of Gen AI then you do not need to look further because deepfakes are that.

Deepfakes are the number one technique for creating malicious content where you can superimpose any face on anybody and make them say anything.

It just takes a bit of thought to understand how that can be used in the worst ways possible and there are hundreds of articles of deepfakes being used to manipulate people into giving money and being used to destroy someone’s reputation.

If you have the power to make anyone say anything then that is very dangerous and this is one of the risks of generative AI.

Cybersecurity Threats

Generative AI poses cyber security risks in the form of creating very realistic content that could be then utilised to scam someone.

This is a very common issue and Generative AI can not only be used to create content to scam someone but it can also be utilised to create the code for malicious links.

While AI platforms are doing their best to not allow such kind of code to be generated but fraudulent people have their own ways of working around those restrictions.

This is so dangerous that you can be utilised to custom-create messages and other content that could be used to scam people.

Decision Making

Decision-making is something that is very easy with Generative AI as it will generally come up with solutions for you.

That does not necessarily mean that you should leave decision-making to Gen AI because there is a reason why it’s called Artificial Intelligence (AI), it can never be used as a supplement for human intelligence and decision-making.

However, one of the critical risks of Generative AI utilisation is people using it for very important decisions. We are talking about decisions regarding anything related to money and decisions regarding investments.

Things become even more dangerous if people utilise Gen AI for important decision-making such as law and policy as well as other important government decision-making.

While we know that AI is already capable of passing the bar examination and even practising as a lawyer but that should not mean you can utilise AI in such a critical role.

Weaponization

And finally, we come to the most dangerous implementation of generative AI and we are talking about the weaponization of AI.

Although we will not get into extreme detail about how Gen AI can be utilised to create weapons that can harm people, we would like to tell you that the pattern recognition capabilities of Gen AI can be very dangerous when it comes to weaponizing it.

This is already being tested out all over the world and this is one of the biggest ethical considerations we need to keep in mind with Generative AI.

The Solution to Gen AI Ethical Risks – Responsible AI

The solution to these risks or even the mitigation of these risks posed by Generative AI is not impossible. We can still have control over the ethical aspect of Generative AI without stopping its development.

This can only be done with global cooperation and we are talking about the level of cooperation that it takes to draft something like the Geneva Convention.

If countries all over the world forget their differences and simply come together in order to draft global laws for Artificial Intelligence (AI) regulation then it can pave the way for risk mitigation.

This can be then followed by funding and encouragement to AI platforms and companies to come up with failsafe within the models to prevent them from being used unethically.

The beautiful thing about Generative AI is that it is also a great tool to prevent its own usage in any kind of wrong way and it can be utilised to identify content that has been morphed by Generative AI for malicious purposes.

The only way we are going to take care of the risk associated with Artificial Intelligence (AI) and especially Gen AI is by coming together and creating agreements and laws so that we can collectively prevent AI from being used in the wrong way.

At the same time, we must also make sure that these laws do not become a roadblock in the development of Generative AI.

There is why the only solution that can actually work is all parties involved in AI coming together to create and develop responsible AI. This is not a new form of AI but this is a new code of ethics that should bind the entire industry together.

We hope this blog helps you understand the risks of generative AI. Generative AI is powerful and has the potential to transform the world. It just needs ethical careful hands.

If you are looking to implement Generative AI into your business operations to improve the efficiency of different business operations then we are here for you.

We are Think To Share IT Solutions and we are renowned for our custom AI implementation solutions. ?We will help you with all your Generative AI needs and we will help you create custom AI solutions that facilitate business growth.

We welcome you to visit our website and check out everything we do.