Artificial intelligence and culture: demystifying the technology for decision-makers

01Understanding artificial intelligence without being an engineer

Artificial intelligence, in its current usage, refers to a set of computer programmes capable of performing tasks that until recently required human intelligence. Understanding a question asked in everyday language, formulating a coherent response, identifying an intention behind a request, analysing a document to extract relevant information: all these operations can now be carried out by software. This advance is not new. Research in artificial intelligence dates back to the 1950s. But only since 2023 has the technology reached sufficient maturity for deployment in demanding professional contexts such as telephone reception.

This is not intelligence in the sense that a human is intelligent. The machine does not think, does not feel, has no consciousness. It executes complex mathematical operations applied to massive quantities of textual data that produce results resembling what a human would do. The distinction is important: neither overestimate nor underestimate what the technology can do. Overestimation leads to disillusionment. Underestimation leads to ignoring a tool that could significantly improve public service.

Generative artificial intelligence goes a step further. It does not merely retrieve existing information. It can produce new text, coherent and adapted to context. If a visitor asks a question nobody has asked before in exactly those terms, the AI agent generates an original response by combining its understanding of the question, the information available about your institution and the rules of natural conversation.

02The three pillars of a voice AI agent for culture

For a cultural decision-maker, it is not necessary to understand algorithms. It is however useful to understand the three fundamental components, just as it is useful to understand the broad principles of a ticketing system without needing to programme.

The first pillar is speech recognition. When a visitor calls and speaks, their voice is captured and transformed into written text in less than half a second. Accuracy today exceeds 95 per cent in major European languages, including with regional accents and imperfect sound environments.

The second pillar is the artificial intelligence engine. It receives the transcribed text, analyses it, identifies the visitor's intention, consults your institution's knowledge base if necessary and formulates a response. This engine can maintain the thread of a conversation and remember what was said earlier. If a visitor says "I would like to come on Saturday" then, three sentences later, asks "and what is the price?", the engine understands the question concerns the previously mentioned Saturday visit.

The third pillar is voice synthesis. Today's artificial voices are practically indistinguishable from human voices. They reproduce natural intonations, pauses and rhythm variations. The visitor calling your museum generally has no awareness they are conversing with artificial intelligence.

03What AI concretely changes for your institution

For a museum, gallery or theatre director, voice artificial intelligence represents above all a solution to a daily operational problem: managing telephone calls. Opening hours, prices, current exhibitions, accessibility and booking options represent 80 per cent of calls received. Visitors prefer calling because it is faster and more reassuring than searching online. They want to hear a voice that confirms the information and guides them.

Artificial intelligence allows these calls to be handled without mobilising staff, twenty-four hours a day, in fifteen languages. Beyond call management, it provides structured data on every interaction: summaries, satisfaction scores and action recommendations. These accumulated over weeks and months reveal trends, unmet expectations and development opportunities that intuition alone could not identify with such precision.

04Legitimate concerns and their answers

The first concern is staff replacement. The voice AI agent does not replace employees. It automates a specific task to allow teams to focus on more rewarding work. Transfer to a human is available at any time. Experience shows reception teams welcome this relief because it allows them to focus on in-room reception and mediation.

The second concern is reliability. The AI agent can give incorrect information, as can any system including human ones. Every call generates a verifiable summary. The more precise and complete the documents provided, the more reliable the responses.

The third concern is technical complexity. Modern solutions are designed to be used without any technical skill. Set-up takes less than an hour. The interface is as simple to use as email software.

The fourth concern is data protection. Solutions designed for the European market comply with GDPR. Each institution's data is isolated. Conversations are not used to train third-party models. Hosting is in the European Union. Compliance with the European AI regulation due in August 2026 is also addressed.

AI ARTEDUSA was designed for cultural institutions wishing to leverage artificial intelligence without suffering its complexity. Find out how at ai.artedusa.com.