Accountability Engineering:
Governance Design for AI-Enabled Critical Operations
Most organizations treat accountability as a means of control: verifying compliance, documenting adherence, and managing risk.
Grounded in my research program, this course challenges this view. Organizations that integrate technology through the compliance lens expand their procedural regimes—those that ensure consistency, enable audit, and document adherence—and in doing so displace their discretionary regimes. The latter constitute the institutional conditions that let an organization recognize when a situation exceeds what procedure can resolve, and act on that recognition.
As automation history reveals, both regimes are necessary for governing consequential decisions, and as automation absorbs more of the decision-making workflow, it risks expanding the procedural.
This course develops the leadership capabilities necessary to become an Accountability Engineer: someone who deliberately and continuously designs both procedural and discretionary infrastructure against the compounding pressures of mindset and technology.
Module A
Foundations
What are accountability systems, how do they shape the decision-making environment, and why have organizations always required two structurally different regimes within them? Through historical cases of automation, students learn that procedural regimes ensure consistency, enable audit, and document adherence, while discretionary regimes protect the capacity to recognize when a situation exceeds what procedure can anticipate and to act on that recognition. Together, both regimes are necessary for reliable governance of consequential decisions. Neither is sufficient alone. Students also examine where AI sits relative to its predecessors, and debate whether it represents a difference in kind or only in degree.
Module B
Characterize
What is technology integration doing to both regimes—and why can’t the organization see it happening? Governance best practices send implicit signals that displace the discretionary regime while the procedural regime remains fully functional. The cumulative result: formal oversight that looks comprehensive while the organization’s capacity to recognize and act on what procedure cannot resolve is being displaced.
CHARACTERIZATION is the leadership capability of surfacing what procedural metrics cannot see.
Module C
Counterbalance
How do you design accountability architectures that sustain both regimes when the procedural regime’s infrastructure regenerates automatically? Students learn why instinctive countermeasures reproduce the problem and develop the capacity to design architectures that hold both regimes in productive tension. They learn to evaluate discretionary capacity without turning evaluation into a checklist, design team structures that give recognition and action institutional support, and examine why the discretionary regime protects a dimension of organizational capacity that no procedure can encode.
COUNTERBALANCING is the leadership ability to redesign accountability architectures that harness both regimes so that they reinforce each other rather than compete.
Module D
Calibrate
What forces push the organization back toward procedural dominance—and how do you sustain both regimes against them? Three levels work against you: your own assumptions about what accountability is for, your industry’s benchmarking practices that reward what can be documented, and the legal and public environment that directs blame toward the most visible actor.
CALIBRATION is the leadership capability of sustaining both regimes over time as these forces continuously press toward the procedural.