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Privacy Policy

How the Human Values Project collects, uses, and protects information from researchers and visitors who engage with our work on AI alignment and human values in healthcare.

Effective: October 20, 2026 Last updated: October 20, 2026 Project: Human Values Project Institution: Harvard Medical School

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Overview Information we collect How we use information Data protection Data sharing & publication Your rights Contact Changes to this policy

Overview

This Privacy Statement describes how the Human Values Project ("HVP", "we", "us", or "our") collects and processes information from researchers and visitors ("you" or "your") who access our website and participate in our research on AI alignment and human values in healthcare settings.

Information we collect

Research data

We collect data through two channels: the case-submission form on our Ethical Cases page, processed by Formspree, and the clinician study hosted on Qualtrics. Depending on which you participate in, this can include:

  • Ethical case descriptions you choose to share with us
  • Survey responses on clinical decisions and value alignment
  • Feedback on AI system behavior
  • Professional details you provide voluntarily (e.g., role, specialty, country of practice, years in practice)
  • Your name and email, on both the case form and the Qualtrics study. Both ask for them before you continue.

Website usage data

When you visit our website, we collect standard log data including:

  • IP addresses (anonymized)
  • Browser type and version
  • Pages visited
  • Time and date of visits

Analytics and site hosts

These services process data when you use the site:

  • Google Analytics (G-5KD40BZN2G) records how the site is used. We do not use it to identify you.
  • Qualtrics hosts the clinician study and stores the name, email, and answers you submit there.
  • Formspree (https://formspree.io/f/mykvyqgk) receives case submissions, including the name and email on the form.
  • Cloudflare provides the site challenge and injects a beacon at the bottom of each page.
  • The host appends a GoDaddy traffic script (img1.wsimg.com/traffic-assets/js/tccl.min.js).

How we use information

We use the collected information for:

  • Conducting research on AI alignment and human values
  • Improving our understanding of clinical decision-making processes
  • Developing better frameworks for ethical AI implementation
  • Generating aggregated statistical analyses and research reports
  • Maintaining and improving website functionality

Data protection

We implement appropriate technical and organizational security measures to protect your information. Case submissions include your name and email and are de-identified before publication. Study responses include your name and email; we do not publish your name with your answers. However, no method of electronic storage is 100% secure, and we cannot guarantee absolute security.

Data sharing & publication

Research findings may be published in academic journals or presented at conferences. All published data will be aggregated and anonymized. We may share anonymized data with research partners under strict confidentiality agreements.

Your rights

You have the right to:

  • Request a copy of the personal data you’ve submitted to us
  • Request correction of any information you’ve submitted
  • Request deletion of your case submissions or study responses
  • Withdraw from the research and ask not to be contacted about future studies

To exercise any of these rights, email isaac_kohane@hms.harvard.edu with enough detail (e.g., the email address you used) for us to locate your record.

Contact

For questions about this privacy policy or our research practices, please contact us at isaac_kohane@hms.harvard.edu. Messages from the site also copy chandak@mit.edu.

Changes to this policy

We may update this privacy policy from time to time. Any changes will be posted on this page with an updated revision date. Please review this page periodically to stay informed about how we collect and process your information.

Have a question about your data?
Reach out and we’ll get back to you.

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Harvard Medical School

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