The automatic assignment of keywords to texts, photos and films is very difficult despite improvements in artificial intelligence.
It is difficult for AI systems to understand the meaning of words and sentences in different contexts. Cultural subtleties and allusions are also difficult to grasp.
Language and images can be ambiguous, making it difficult to find the right keywords. Artificial intelligence often cannot replace human judgement and interpretation.
The performance of AI systems also depends heavily on the training data. If this data is not diverse or accurate enough, the AI system cannot create good keywords.
And the diversity of texts, photos and films makes it difficult to develop AI systems that can tag all types of content. Different content needs different approaches.
AI systems also make mistakes and assign incorrect or misleading keywords. This can lead to inaccurate search results and ethical issues. Data protection and ethical questions can arise with automatic keywording, especially when personal data or sensitive topics are involved.
Therefore, AI systems must be carefully developed and monitored to avoid such problems.
Despite constant improvements in AI technology, automatic keywording and understanding human content are still complicated tasks that require further research and work.
So it remains exciting, or just an illusion?