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• Review privacy policies: Before using AI services, make sure you understand how your data will be utilised.
• Understand privacy settings: Be aware of your choices, including the possibility of your information being reused by the AI system, or reviewed by AI company personnel.
• Choose service types wisely: Recognise the difference between 'open' and 'private' services and decide accordingly.
• Handle sensitive information with care: Exercise caution with data related to personal, sensitive, or intellectual matters, sharing only with proper authorisation from data owners.
• Consider 'local' models for privacy: If privacy is paramount, consider using offline AI models.
• Adhere to existing policies: Remember that university and legal policies on data usage remain in effect when using AI services and must be followed.

• Assume privacy is default: Check and adjust privacy settings as needed—default options may not be the most secure.
• Provide non-public info to 'open' services: Avoid sharing information that isn’t publicly accessible with services that reuse data. If the data isn't meant for the public eye, it shouldn't be entered in 'Open' platforms.
• Equate paid with private: Just because a service has a fee doesn't guarantee privacy. Always review and configure the privacy settings to your satisfaction, regardless of the service being paid or free.
• Share sensitive data without considering data protection or intellectual property obligations: Do not give out information such as personal, sensitive or confidential details, without completing a data protection impact assessment and gaining authorisation from data owners, or in the case of intellectual property, referring to the University’s Intellectual Property Commercialisation Policy.  

To explore how we handle, distribute, store, and secure data as a university, and to learn more about our approach to managing the data we generate, collect, and utilise, visit the ÑÇÖÞÇéÉ« Data Protection, Information Security, and Data Privacy pages.