한어Русский языкEnglishFrançaisIndonesianSanskrit日本語DeutschPortuguêsΕλληνικάespañolItalianoSuomalainenLatina

On the one hand, AI machine learning and natural language processing technologies can process large amounts of oral data more efficiently. By analyzing and organizing these data, researchers can more accurately grasp the details and context of history. For example, using speech recognition technology to convert oral content into text greatly improves the efficiency of data processing. At the same time, with the help of natural language processing technology, these texts can be semantically analyzed to dig out deeper information.

However, on the other hand, the application of new technologies also brings some challenges. In the process of data collection, how to ensure the authenticity and integrity of the oral content has become a key issue. Since there may be certain errors in artificial intelligence processing, the original oral data may be misinterpreted or misread. In addition, the continuous updating of technology also requires researchers to continue to learn and adapt in order to give full play to its advantages.

From a broader social perspective, the advent of the AI ​​era has also changed people's understanding of and participation in oral history. With the popularization of the Internet, more ordinary people have the opportunity to participate in the recording and dissemination of oral history. Through platforms such as social media, people can share their experiences and memories, enriching the source of oral history materials. However, this also brings about the problem of uneven information quality, which requires effective screening and identification.

For the field of oral history research itself, the integration with artificial intelligence technology has prompted innovations in research methods and theories. Traditional research methods may seem powerless when faced with massive amounts of data and complex information processing, but the combination of artificial intelligence technology can open up new research perspectives and approaches. At the same time, this has also prompted researchers to rethink the value and significance of oral history, and how to better protect and pass on historical memory in the context of new technologies.

In general, the era of artificial intelligence has brought both opportunities and challenges to oral history research. We should actively embrace new technologies and give full play to their advantages, but also be cautious in dealing with possible problems to promote the continuous development and progress of oral history research.