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Artificial Intelligence: How to Harness Its Potential?

In the times when artificial intelligence (AI) is rapidly transforming our world, understanding its potential and practical applications is more crucial than ever. From the development of sophisticated algorithms to the everyday tools we rely on, such as Google Translate and DALL-E, artificial intelligence is becoming an indispensable part of our reality. This article delves into the evolution of AI, explores the tools that enhance our productivity, and features an insightful interview with a media and technology expert on how to effectively use the power of Chat GPT. Do join us as we uncover how to harness the full potential of AI and navigate the future it promises.

Artificial intelligence (AI) has become an integral part of our lives, changing the way we interact with technology and with each other. To find our way in this new digital reality, it is necessary to use artificial intelligence to simplify and enhance our daily activities. By interacting with artificial intelligence and communicating our needs so that it can understand us, we can gain an unparalleled feeling of convenience and efficiency. This article is a brief guide to using artificial intelligence in a way that will allow us to not only keep up with the pace of technological change but also evolve with it.

AI solutions have seamlessly integrated themselves into our daily lives, often in such a way that we are not even aware of it being used in a given process. Artificial intelligence works behind the scenes of our activities–from virtual assistants helping us manage schedules and answering questions to recommendation systems suggesting what movie to watch or what product to buy. Beyond these everyday conveniences, artificial intelligence presents an opportunity to revolutionize fields such as healthcare, finance, and transportation by providing powerful tools for data analysis and decision-making. This dual capability of artificial intelligence–streamlining simple tasks and tackling complex challenges–underscores its transformative dimension. However, to realize AI's full potential, it is necessary to communicate effectively with the systems, ensuring they understand our needs and intentions.

Defining the term “artificial intelligence” is not an easy task, as there is no generally accepted and consistent explanation, and its absence is linked to the dynamic development of the discipline, which means that the definition regularly needs to be reformulated¹. The explanation that currently seems most satisfactory assumes that AI is “systems that exhibit intelligent behavior by analyzing their environment and taking actions–autonomous to some degree–to achieve specific goals.”²

The development of artificial intelligence dates back to ancient times, as references to non-human thinking machines can be found as early as in Homer's “Iliad.” In the 17th century, Thomas Hobbes in his work “Leviathan” stated that human thought is nothing more than arithmetic calculations³. In the 20th century, Alan Turing laid the foundations of modern artificial intelligence with his concept of the Turing test, a method for determining a machine's ability to exhibit intelligent behavior indistinguishable from humans, including its ability to use natural language. Less than 20 years later, the Turing test was passed by ELIZA, a chatbot simulating a psychotherapist⁴. ELIZA is one of the first computer programs utilizing the mechanisms of Natural Language Processing (NLP). The field of NLP is a set of techniques and methods used by computers to analyze and generate text or speech. Today, the most widely used tools are used for spam or aggression detection on the Internet, automatic translations, search engine optimization for understanding the context of the queries entered, brand image analysis, or the creation of speech synthesizers⁵.

The development of artificial intelligence has been an ongoing process for years, making newly developed solutions an indispensable part of our daily lives. These advances not only increase convenience but also drive productivity and innovation in numerous sectors. From healthcare to finance, artificial intelligence is a tool for transforming industries, providing detailed analysis, enabling optimization of financial strategies, and even predicting market trends. Still, let's take a look at how tools that work using artificial intelligence are streamlining the operations of individuals.

Artificial intelligence offers countless solutions to enhance our productivity, creativity, and convenience. Recommendation systems, such as those used by Netflix and Amazon, suggest movies, products, and services tailored to our preferences. Virtual assistants such as Siri, Alexa, and Google Assistant help manage tasks, set reminders, and control smart home devices with voice commands. In turn, the first step in contacting customer service is often a conversation with a chatbot.

For tasks that rely on working with language, tools such as Grammarly and Hemingway Editor improve text quality, suggest possible changes and increase readability. Google Translate removes language barriers, providing instant translations, while Fireflies.ai and Google Meets transcribe and summarize meetings. ResearchRabbit helps with research by suggesting relevant documents and articles, and TLDR this condenses long articles into concise summaries, making information more accessible. Creative tools such as Leonardo.Ai and DALL-E generate images and graphic elements based on text descriptions, for example, for promotional materials. Thanks to the Poe platform, we gain the possibility to use the most popular chatbots, as well as create our own. The aforementioned AI tools, although only a fraction of all existing solutions, are changing the way we interact with technology, making everyday processes easier.

Although it hasn't been long since GPT Chat appeared in late 2022, research into its applications has been vigorously pursued in many sectors. In education, among others, attention is being paid to the possibility of analyzing a student's language patterns and creating a personalized learning path for them⁶. In order to slow down the process of global warming and protect ourselves from its effects, Chat GPT is used to efficiently and accurately interpret data, make predictions, and suggest actions that should be taken⁷. Among the various content that the tool allows you to generate, there are also posts, articles, and descriptions of products or activities of the companies, which significantly streamlines the work of marketing teams and improves brand image⁸. The aforementioned examples are just a few applications of Chat GPT, and medicine⁹, customer service, or the e‑commerce industry are other of the many sectors where AI tools can help optimize processes and increase productivity and efficiency. Thus, one can claim that there are actually as many applications for such tools as there are human needs, and they are limited only by our imagination.

Leaving aside the financial issues and the need for continuous learning, the most important aspect of implementing AI tools into everyday processes is the ability to make the most of the opportunities offered. The way we communicate our needs or formulate the content of the task we want the tool to perform has a significant impact on the result we get. Aside from the collection of data and Chat GPT's capability to use it, the most important role in the communication process is still played by humans.

➡️ How to talk to Chat GPT?

The key to using AI effectively is to have a conversation with it. To try to go a little deeper into the topic we are discussing and look at the same thing from several different perspectives. This is the unique advantage that Chat GPT or other large language models give us. It's that we can often look at a topic from a number of different perspectives, and because of this we are able to deduce different conclusions than if we had thought about it on our own or talked to another person, for example, says Michał Stanisławek. One such effective technique for talking to Chat GPT is to give it some persona, to give it some personality, he adds.

Thus, when we ask Chat GPT to play the role of a social media expert for a renewable energy company and help us publish a post about wind power plants, we will get an incomparably better result, with a structure that corresponds to the language of the Internet, than by asking him only to write a post on a given topic. Another equally important action to ensure the maximum effectiveness and efficiency of this tool is suggesting the sources (books, scientific or newspaper articles, etc.) that we want it to use to create a response for us.

➡️ Can we ask Chat GPT, for example, to analyze the document?

Yes, especially if we use Chat GPT+, which is the paid version, then we have a wider range of tools we can choose from. We can ask Chat GPT to analyze for us, for example, some document (...) with some data from which it can help us draw certain conclusions (...), explains the founder of utter.one and hearme.ai.

The analysis of text documents is a great example of how artificial intelligence can help with both everyday tasks and more complex analytical problems. The summarization of a given text performed by AI tools streamlines the process of finding and interpreting data and saves time spent on creating a database of sources, gathering examples, and developing an effective line of argumentation.

➡️ What are the capabilities of Chat GPT in terms of images and videos?

Chat GPT looks at the image we have given it and draws conclusions based on it, that is, it describes it to itself internally, after which it can talk to us contextually. (...) But worth mentioning is also the fact that Chat GPT has the ability to generate images, adds Michał Stanisławek.

Chat GPT can analyze images, converting visual information into text and thus enabling itself to understand and discuss its content. Additionally, the tool's ability to generate images highlights its creative potential. It should be noted, however, that while it can analyze and generate images, its video capabilities are more limited and usually only involve analyzing key frames or generating descriptions based on visual content.

➡️ After we enter the data, does Chat GPT already have an expanded knowledge base that it can use for the next analysis?

The process of refining models is not something that happens in real-time. It may turn out that those things we talk about, or those images we upload, will eventually be used to make the baseline knowledge and capabilities of that model go further. However, it's not necessarily going to be the case, I mean it's not going to happen right away, that you talk, you upload an image, and I can immediately talk about the image that you uploaded.

As Michał Stanisławek explains, while the data we input can contribute to the model's learning, its knowledge does not update immediately. Instead, the data can be used in future updates to enhance the model's capabilities. This means that providing immediate feedback or analysis based on newly uploaded data is not possible.

➡️ What are the current limitations of AI? When we delve into the issue of artificial intelligence problems, the first things that come to mind are financial requirements and undertrained, far-from-perfect models. However, in addition to these aspects, a significant issue is the problem of hallucination.

This is a general term referring to the fact that artificial intelligence is trained to be as useful to humans as possible, so that when we cross a certain barrier of its knowledge, it goes on trying to be very helpful. Up to the point that it often starts inventing things it doesn't know, explains Michał Stanisławek.

While it's often fairly easy to see which information has been invented by AI, as it frequently diverges from reality, it's up to the user of the tool to thoroughly verify any information generated.

On the other hand, we as humans who use technology are responsible for the final result. It is not quite the technology that is responsible for it, but us and the way we make use of this result (...). Limiting the context of the conversation, that is, assigning the model a certain narrower role, providing specific examples, or even uploading some specific texts to which the artificial intelligence should refer, serves to expand its field of knowledge, so that the answers we get may be more accurate, the expert argues.

Solutions utilizing artificial intelligence are becoming increasingly common, and their application streamlines everyday processes. The possibilities for using these tools are virtually endless–from chatbots, voice assistants, and image generators to tools that help diagnose diseases and predict economic and environmental crises. The first step toward leveraging the potential of digitization is for each of us to consider what tools would help us in our daily activities, and the second step is to understand which way of communicating with technology will be most effective. One thing is certain: while modern technologies may cause concern, they are becoming an indispensable part of reality, and it is only up to us how we want to make use of them.

¹ Russell, S., Norvig, P. (2020). Artificial Intelligence: A modern approach (4th ed.). Pearson.
² Sheikh, H., Prins, C., Schrijvers, E. (2023). Artificial Intelligence: Definition and Background. In: Mission AI. Research for Policy. Springer, Cham.
³ Oliveira, A. L., Figueiredo, M. A. T. (2024). Artificial Intelligence: Historical Context and State of the Art. In: Sousa Antunes, H., Freitas, P. M., Oliveira, A. L., Martins Pereira, C., Vaz de Sequeira, E., Barreto Xavier, L. (eds) Multidisciplinary Perspectives on Artificial Intelligence and the Law. Law, Governance and Technology Series, vol 58. Springer, Cham.
⁴ Hutchens, J. L. (1996). How to pass the Turing test by cheating. School of Electrical, Electronic and Computer Engineering research report TR97-05. Perth: University of Western Australia.
⁵ Kaleta, P., Jabłoński, M., Jazgara, S. (2022). Algorytm NLP. Kordowski Digital. https://marcinkordowski.com/algorytm-nlp/
⁶ Fuchs, K. (2023, May). Exploring the opportunities and challenges of NLP models in higher education: is Chat GPT a blessing or a curse?. In: Frontiers in Education, vol. 8. Frontiers Media SA.
⁷ Biswas, S. S. (2023). Potential use of chat gpt in global warming. Annals of biomedical engineering, 51(6), 1126-1127.
⁸ Saputra, R., Nasution, M. I. P., Dharma, B. (2023). The impact of using ai chat gpt on marketing effectiveness: A case study on instagram marketing. Indonesian Journal of Economics and Management, 3(3), 603-617.
⁹ Biswas, S. S. (2023). Role of chat gpt in public health. Annals of biomedical engineering, 51(5), 868-869.

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