AI Development Concerns

If we threw out every harmful innovation, we'd still live in caves, praying to the fire ignited by a random spark.

Every technological breakthrough has come with its challenges. But did that stop industrialization? Did corporations abandon the electrification of their facilities? Of course not. So why should we now be skeptical about AI?

Hype Turned Challenge

As soon as the buzz around the public release of ChatGPT somewhat subsided, opponents were quick to jump in. They were trying to convince the world that artificial intelligence is dangerous and could ultimately bury humanity.

This thesis gained wide publicity and raised concerns for a number of governments regarding the safety of AI applications—quite reasonably, I must say.

Grounds for Concern: How AI Has Repeatedly Stirred the Public?

The fact that LLM learns from massive amounts of information is no longer a secret. However, we cannot know exactly what ends up in the so-called Data Lakes.

Formally, AI engineers do set parameters for the data sets that LLM receives. But is it qualitative? Is it not copyrighted?

You will get a clear answer only if you manually populate the digital repository. However, in practice, everything happens automatically, leading to some challenges, examples of which I'll cover further.

Creativity Plagiarism

Recently, a group of singers, media personalities, and artists issued a public call to all AI owners. The group demanded that their creative works be removed from databases for training bots.

The root of the problem turned out to be plagiarism, for which texts, styles, and voices of artists were generated. Only the members of KISS advocated for digitizing their avatars and "immortality."

Deceptive Advice

A British government portal with an embedded bot provided wrong recommendations on identifying and treating COVID. The problem was noticed and corrected promptly, but there were those who followed the advice.

A similar situation occurred with AI in New York (AP), where LLM advised entrepreneurs to lay off women who reported sexual harassment.

Distorted Facts

Did the James Webb Telescope take the first snapshot of an exoplanet outside the Solar System? Well, Bard (Gemini) could hardly be mistaken when answering questions about discoveries made with NASA's development.

The issue is that modern AI is still far from perfect, so it can make mistakes even with well-known facts.

Data Collection

Everything that enters the bot's database stays there. For example, when you make a certain query, the AI processes it and stores it in memory to use the knowledge in the future.

In theory, this information could accidentally be disclosed to competitors if, for example, you use cloud-based AI or core.

Fatal Errors

When a bot outputs erroneous data, you can check it. But when a Tesla autopilot drives the owner and passengers into a ditch – it looks like deliberate murder.

Although such cases are rare, they are enough to cause a wave of negativity toward artificial intelligence.

Is Everything So Bad?

Actually, how artificial intelligence behaves primarily depends on the person who teaches it.

The nuclear bomb was created during World War II to end the war. The thermonuclear bomb, capable of destroying humanity, emerged from the whims and ambitions of just one scientist.

So it is with AI. If used and taught wisely, the result will be more than satisfying. But if you try to turn it into a weapon... Well, the Fourth World War will be fought with sticks and stones.

Smart Use of AI – A Facilitator for Technological Success

You become responsible, forever, for what you have tamed. Or create, in the case of artificial intelligence. Therefore, first and foremost, we, as users of technology, must understand the responsibility and apply LLM correctly.

For example, by establishing a legislative framework or even artificially limiting the potential of a bot if the audience lacks the awareness for its ethical use.

Regulation

Three key regions, namely the EU, USA, and China, have already begun building their versions of legislative frameworks to regulate AI. Yes, they are still far from perfect, but they are already setting boundaries businesses must not cross.

For example, consciously collecting sensitive data, processing it without user consent, and selling it to third parties.

Consciousness

Everyone's responsibility is already part of the plan for the safe handling of artificial intelligence. That is, the user must realize that they, to some extent, influence how AI perceives the world and can unintentionally shape dangerous behaviors in its algorithms.

So, it's not about conquering the world but about deliberately deceiving others – completely.

Ethics

There are things that are not customary to disclose or discuss collectively. So why should we deviate from this rule when using AI?

Consumers should realize that generative AI is currently at a stage equivalent to that of a baby. Therefore, it absorbs absolutely everything that adults instill in it.

And now imagine what irresponsible targeted pumping of a child with propaganda will lead to. An example of this can be found on the eastern border of Ukraine.

Positives That Will Transform Industries

All the negativity described above is a consequence of the current weak development of technology. Its potential, on the other hand, is still 10% unexplored.?

However, there are assumptions and practical cases demonstrating the benefits of using AI, but only if the person who applies artificial intelligence for work or entertainment understands the risks and their own responsibility.

Automation

Most business processes can be automated. And not only through RPA but also through AI integration. In the latter case, the company gains operational autonomy and an adequate response to potential errors.

This applies to both analytics and calculations, as well as the interaction of artificial intelligence directly with the physical world.

Detailing

Humans are not perfect, so they can make mistakes, miss important facts, or simply get distracted. Artificial intelligence does not have this defect, so it is a more reliable performer of practically all types of operations.

For example, AI will not only generate a concept for you but also outline step-by-step paths to its implementation, methods, and alternatives.

Risk Minimization

As we can see, AI can make mistakes. However, it can also point out your mistakes. For example, when you create a business development strategy, a specially trained artificial intelligence can quickly analyze it and correct potential flaws.

This will save your time, nerve cells, reputation, and finances.

Final Words

You can almost endlessly search for downsides in artificial intelligence and shout out about its imperfections. Or you can invest your knowledge in AI and create an LLM you can be proud of.

There is no unequivocally black or completely white. Only the attitude of the creators to their product is the driver that moves it in one direction or another.

So, be responsible.

Do you share a common opinion about the potential threats and harm from AI? Share your vision in the comments!