Beyond Open vs. Closed: Balancing Individual Privacy and Public Accountability in Data Sharing
Paper by Bill Howe et al: “Data too sensitive to be “open” for analysis and re-purposing typically remains “closed” as proprietary information. This dichotomy undermines efforts to make algorithmic systems more fair, transparent, and accountable.
