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Privacy Principles: Search, Learning and Artificial Intelligence | Legal

May 16, 2024 - slack.com
Slack's mission is to create a product that simplifies work life while ensuring the privacy and security of customer data. They use machine learning (ML) and artificial intelligence (AI) to enhance their product, with their systems analyzing customer data and other information to develop AI/ML models. They have strict guidelines to prevent data leakage across workspaces and unauthorized access to data. Customers can opt out of their data being used to train Slack's global models.

The company uses customer data to improve services such as channel recommendations, search results, autocomplete, and emoji suggestions. However, they ensure privacy by separating their models from customer data and using external models for evaluation. They also allow customers to opt out of their data being used in global models. Slack emphasizes that customers own their data and that they aggregate and disassociate customer data to prevent identification of any customer or individual as the source of any improvements.

Key takeaways:

  • Slack uses Machine Learning and Artificial Intelligence to enhance its product, and in doing so, it ensures the privacy and security of Customer Data.
  • Slack has technical controls in place to prevent access to underlying content when developing AI/ML models or analyzing Customer Data.
  • Customers have the option to opt out of their data being used to train Slack's global models. If opted out, their data will only be used to improve their own workspace experience.
  • Slack uses Customer Data and Other Information to update and improve its services, such as channel recommendations, search results, autocomplete, and emoji suggestions, while ensuring data privacy and confidentiality.
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