Google launched a challenge for developers and search engines find ways to make AI tools forget certain things. Dubbed the first “machine unlearning” problem, the company wants to find researchers capable of developing a system capable of excluding information from AI and protecting the privacy and rights of those involved.

According to Google, larger AI models “tend to remember the details of their training set“, including information already excluded from the database used in training. To address this issue, Google launched the ‘machine learning’ challenge. The company says it is committed to developing AI technologies responsibly,”reducing potential risks such as spreading and amplifying unfair bias and protecting user privacy“.

The company claims that “machine unlearning” is a new direction in the field of machine learning. The aim of the project is to develop a forgetting set on a trained model. During the test, the company will apply a real situation where it is necessary to forget about a certain subset of images of the training model in order to protect the privacy of the solved faces. Participants will have to develop ways to create an effective model that can extract the knowledge gained using the AI ​​tool.

Application of machine learning

According to Big Tech, the main application of machine learning is to protect user privacy. “Learning can be used to remove inaccurate or outdated information from trained models (for example, due to mislabeling or changes in the environment) or to remove harmful data.“, the company commented.

In addition, the company claims that advancement in the segment can accelerate models capable of correcting issues related to injustice, prejudice or unequal treatment of minorities, whether by demographic, age, religion, etc. For more information about the challenge launched Google, you can get it from the official page.

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Source: Edge

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