As data collection and analysis become increasingly central to business, research, and governance, protecting sensitive information is more crucial than ever. This session will examine the privacy, ethical, and security challenges involved in analyzing sensitive data such as personal health records, financial information, and other confidential datasets.
Key questions to be addressed include:
- How can sensitive data be ethically and responsibly analyzed while still protecting individual privacy?
- What technical and policy safeguards are essential when working with sensitive data?
How can risks related to re-identification, unauthorized access, and data leakage be mitigated?
This talk presented industry thought leader Donald Farmer will review best practices and frameworks for enabling secure and ethical data analysis across various industries and applications. Expert perspectives on navigating emerging regulations, managing tradeoffs, and aligning analytical objectives with privacy values will be discussed. Attendees will gain critical insights into analyzing sensitive data securely while upholding public trust and mitigating risks.