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The Artificial Intelligence which looks back to the past: The development of contemporary archaeology

The Artificial Intelligence which looks back to the past: The development of contemporary archaeology

In recent years the advent of Artificial Intelligence has revolutionised the field of archaeology. This cutting-edge technology is reshaping the way w

Trovato in Polonia lo scheletro di una “donna vampiro” con una falce al collo
Pubblicato il bando per l’inserimento lavorativo nel sistema dei beni archeologici e culturali calabrese
L’intelligenza artificiale che guarda al passato

In recent years the advent of Artificial Intelligence has revolutionised the field of archaeology. This cutting-edge technology is reshaping the way we discover and interpret the secrets of the past, thus enabling the analysis of vast amounts of data in a fraction of time, which would once have taken human researchers years or even decades. The rise of Artificial Intelligence in archaeology not only accelerates the discovery process, but also enable us to gain new insights into history.

Archaeological research has traditionally been an extremely time-consuming process for archaeologists excavating sites in detail. With the introduction of Artificial Intelligence, however, researchers can now process and analyse data at unprecedented speed. Machine learning algorithms can sift through thousands of artefacts, thus identifying patterns and connections that humans cannot detect. This significantly reduces not only the time needed for discovery, but also the cost of exploration, thus enabling us to unravel the secrets of the past much faster.

Furthermore, Artificial Intelligence not only speeds up the process of archaeological research, but also improves the accuracy of discoveries. Machine learning algorithms can analyse data with an accuracy that far exceeds human capabilities. They can detect minute patterns and anomalies that might go unnoticed by humans, thus enabling more accurate and detailed interpretations of archaeological data. This increased accuracy helps to gain a deeper understanding of our history, thus providing new information about our ancestors and related civilisations.

Besides accelerating research and improving accuracy, Artificial Intelligence is opening up new avenues of exploration in archaeology. A case in point is predictive modelling: this is a technique that uses Artificial Intelligence to predict the location of archaeological sites based on patterns in existing data. It is revolutionising the way in which new sites are discovered. This method has already led to the detection of many previously unknown sites, thus expanding our knowledge of the past.

Moreover, Artificial Intelligence has been used to reconstruct historical environments and events. Using data from archaeological sites, Artificial Intelligence can generate realistic 3D models of ancient cities or simulate historical events, thus giving us unprecedented glimpses into the past. These virtual reconstructions not only provide a fascinating window into history, but also serve as valuable educational tools, thus enabling scholars, students and the public to have a first-hand experience of life in the past.

The rise of Artificial Intelligence in archaeology is undoubtedly a revolution. However, it is important to remember that Artificial Intelligence does not replace human researchers, but is rather a tool that will enhance our abilities, thus enabling us to explore our history more deeply and gain a better understanding.

As we continue to explore the AI potential in archaeology, it is clear that this technology will play an important role in better understanding the evolution of history, thus giving new prestige and lustre to research and paving the way for future discoveries.

As we move ever deeper into the digital age, Artificial Intelligence is revealing the future of archaeological discoveries, thus revolutionising the way we understand and interpret the past.

As mentioned above in terms of costs, archaeological excavations have traditionally been labour-intensive, time-consuming and often prone to human error. The process of studying ancestors’ dirt, fossilised excrement, petrified organic waste and droppings, etc., as well as detailing the results and interpreting the data can be time-consuming. The advent of Artificial Intelligence has greatly accelerated this process as well.

The role of Artificial Intelligence in archaeology is manifold. It enables archaeologists to more accurately identify potential excavation sites. By analysing large amounts of data, including geographical information, historical documents and previous archaeological finds, Artificial Intelligence can predict where important archaeological artefacts are likely to be found. This not only saves time and resources, but also reduces the potential damage to artefacts to be discovered.

In addition to predictive modelling, Artificial Intelligence is changing the way archaeological finds are analysed and interpreted. Machine learning algorithms can identify patterns and connections in data that are barely perceptible to humans. For example, Artificial Intelligence can analyse ancient pottery or pictograms in search of stylistic elements, thus identifying small similarities and differences – that would escape the human eye – and providing insights into cultural exchanges, human migration and social change.

Furthermore, Artificial Intelligence is revolutionising the way archaeological finds are preserved and displayed. Artificial Intelligence-based digital preservation technology can create detailed 3D views of artefacts, buildings and even entire archaeological sites. These models can be studied and explored virtually for a more immersive and interactive experience. This not only increases our understanding of the past, but also makes archaeology more accessible to the public.

Despite these advances, the application of Artificial Intelligence in archaeology faces challenges. The accuracy of Artificial Intelligence predictions and analyses is highly dependent on the quality and quantity of the data acquired. Incomplete or distorted data can lead to misleading results. Furthermore, although Artificial Intelligence can speed up the process of archaeological discovery, it cannot replace the meticulous understanding and interpretation that human archaeologists bring to the field.

We have to take ethical considerations into account. The use of Artificial Intelligence in archaeology raises questions about who has access to and control over archaeological data and research results. As Artificial Intelligence becomes increasingly pervasive in archaeology, it will be crucial to ensure that it is used responsibly and that the benefits are shared.

As a whole, Artificial Intelligence is leading to a new era in archaeology, thus opening up exciting possibilities for discovering, analysing and preserving the past.

As we continue to advance ever further into the digital age, we must address the challenges and ethical considerations associated with it. In this way, we can harness the AI power to deepen our understanding of human history and enrich our cultural heritage. The future of archaeological discovery lies not only in the ground, but also in the digital realm, where Artificial Intelligence will play an increasingly important role.

The future development of archaeology will see more refined and standardised methodological systems in science and technology. A number of trends such as archaeology and archaeological science are moving towards integration. AI technology is showing its talents and its core development elements are advancing internationally.

It has to be said, however, that the probability of Artificial Intelligence replacing archaeologists over the next ten years is only 0.7 per cent, because the work of archaeologists requires the identification of highly complex models, and it is not extremely profitable to have this work done by AI not yet specialized for this very high task. It is unlikely that companies or governments will make the necessary investment to automate archaeological tasks in a technological sense, at least in the short term.

a cura di Giancarlo Elia Valori