The Blackwell-Hart Technical Bulletins
The Blackwell-Hart Technical Bulletins serve as the research and commentary archive for the Blackwell-Hart Methodology™ (BHM™). The archive documents applied observations, case studies, and structured analysis related to AI-assisted discovery systems, authority infrastructure, and entity interpretation.
When AI Acts, Who Owns the Decision?
As AI systems move from generating answers to taking actions, accountability depends on more than the model itself. Explore the lessons of the Australian Medicare incident, including permissions, safeguards, monitoring, incident reporting and evidence-based accountability through the Blackwell-Hart Methodology™ perspective.
When AI Meets a Boundary
As AI agents move from answering questions to taking action, access boundaries become critical. The Medicare AI incident raises important questions about permissions, safeguards, monitoring, and accountability in autonomous systems.
When AI Stops Searching and Starts Acting
AI agents can do more than find information. The Medicare incident shows why AI systems that can act on objectives create new questions about boundaries, access, and control.