You're worried about the use of personal data in AI algorithms. How can you ensure adequate protection and privacy?

While there is no one size fits all solution, but there are general strategies you can adopt:

• Limit data sharing: Be selective about the information you collect. Collect only what is needed and consider ethical implications before assembling the dataset.

• Get consent: Make sure you are able to train the data in the way you envision. Be upfront and transparent with your stakeholders.

• Anonymization: Do not collect more information than you need. Delete sensitive data and anonymize where possible.

• Monitor data use: Set up access logs and regularly review activity to confirm only authorized personnel are accessing the data

• Use encryption: Encrypt all data in transit and at rest. Take reasonable precautions to prevent unauthorized sources from accessing the data