Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Oct 23, 2024
Date Accepted: Oct 24, 2024

The final, peer-reviewed published version of this preprint can be found here:

Crisis Text Line and Loris.ai Controversy Highlights the Complexity of Informed Consent on the Internet and Data-Sharing Ethics for Machine Learning and Research

Eysenbach G

Crisis Text Line and Loris.ai Controversy Highlights the Complexity of Informed Consent on the Internet and Data-Sharing Ethics for Machine Learning and Research

J Med Internet Res 2025;27:e67878

DOI: 10.2196/67878

PMID: 39841991

PMCID: 11799832

Crisis Text Line and Loris.ai controversy highlights the complexity of informed consent on the Internet and data sharing ethics for big data

  • Gunther Eysenbach

ABSTRACT

This editorial addresses difficult ethical questions that technology non-profit organizations and companies face when obtaining, analyzing and sharing data with academics, and even more so for commercial use.


 Citation

Please cite as:

Eysenbach G

Crisis Text Line and Loris.ai Controversy Highlights the Complexity of Informed Consent on the Internet and Data-Sharing Ethics for Machine Learning and Research

J Med Internet Res 2025;27:e67878

DOI: 10.2196/67878

PMID: 39841991

PMCID: 11799832

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.