What measures are in place to protect patient data in AI research?
In AI research, patient data is protected through various measures such as data anonymization, encryption, and strict access controls.
Can you explain what data anonymization means?
Data anonymization involves removing or altering personal identifiers from data sets, making it impossible to trace back to individual patients.
Are there regulations governing the use of patient data in AI?
Yes, regulations like HIPAA in the U.S. and GDPR in Europe set strict guidelines on how patient data can be used and protected.
How do researchers ensure compliance with these regulations?
Researchers ensure compliance by conducting regular audits, training staff on data protection, and implementing robust data management practices.
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