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    Home»Education»Transparency moves in artificial intelligence training data from Microsoft
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    Transparency moves in artificial intelligence training data from Microsoft

    March 22, 20253 Mins Read

    Transparency moves in artificial intelligence training data from Microsoft

    Microsoft has published a research project called “Provence for training time” to increase transparency and justice about the training process of artificial intelligence models.

    What is the origin of the educational time?

    Microsoft's research project aims to analyze the influence of individual data resources (for example, a collection of photo or text content) used to train artificial intelligence models. This approach is based on a technology that can be called “data contribution analysis”. Artificial intelligence models are often trained on a large amount of different data sets and each of these data on the model is usually uncertain. Microsoft's system is developed by mathematical methods and analyzes how much part of the specific data contributes to the artificial intelligence output.

    Rights of data contributors Jaron Lanier, one of the names of the Microsoft research team, emphasized the concept of basic “database”. According to Lanier, those who contribute to the data contribution to the success of artificial intelligence models need to be recognized and rewarded when necessary. For example, when an artificial intelligence model creates an image inspired by a work of art, the creator of the original work may be recognized for their contribution or a useful system -based system. Technology details The system is developed by Microsoft based on monitoring algorithms to measure the effectiveness of artificial intelligence models used in the training process for output. Thanks to these algorithms, the role of data sources in artificial intelligence output is analyzed and it is determined which data is more effective on the model. In addition, with transparent reporting tools, users are allowed to view the impact of data and this information can be used as a basic reference in copyright payment or identification process. Ranking the effective system of data sources for the model and allowing to create a fair reward or identification mechanism. Legal and ethical scale This creative approach is especially important in the context of copyright lawsuits against artificial intelligence companies and ethical debates. Microsoft says this system aims to increase ethical standards in artificial intelligence technologies and to solve legal issues. Microsoft's move has the ability to create a fairer and more transparent order in artificial intelligence ecosystem. Awareness and useful for the additives of educational data can be helpful not only for individual creators, but also for communities and organizations to create large data. This project is considered an important step for moral development and more responsible for artificial intelligence. This approach of Microsoft can be an example for other companies in the field of technology.

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