Technology does not simply automate decisions—it restructures authority.
This page articulates how my research on algorithmic management, socio-technical systems, and justice extends into applied contexts. Across my work, technology and justice is not treated as an ethical add-on, but as a problem of organizational design, governance, and institutional responsibility.
From Theory to Application: Why organizational design matters for justice in technology
My research shows that technologies function as moral and epistemic infrastructures: they shape what is visible, whose knowledge is legitimized, and how responsibility is distributed across human and non-human actors.
As a result, questions of justice in technological systems cannot be addressed through bias mitigation or technical fixes alone. They require attention to governance structures, decision authority, and the organizational contexts in which technologies are embedded.
This page reflects that orientation—linking theory to practice without collapsing one into the other.
Active Socio-Technical Practice: Ventures as empirical laboratories
Alongside scholarship, I co-found and lead socio-technical ventures operating at the intersection of innovation, regulation, and equity. These initiatives function as empirical sites through which questions of governance, accountability, and justice are examined in real-world conditions.
In-Med Prognostics
An AI-enabled radiology venture addressing diagnostic inequities in global healthcare contexts, highlighting how clinical AI systems must be governed to preserve accountability, trust, and equitable outcomes.died in practice.
Nova DigiHealth
A digital health infrastructure initiative focused on workforce access, institutional capacity, and systemic inclusion, examining how digital platforms shape labor, expertise, and opportunity in health systems.
These ventures are not separate from my research agenda; they serve as living laboratories for studying how socio-technical systems operate under regulatory, ethical, and institutional constraints.
Scholarly Foundations for Technology & Justice: Evidence for governance claims
My work on technology and justice is grounded in peer-reviewed research examining AI, governance, and social equity, particularly in organizational and entrepreneurial contexts.
This scholarship interrogates:
- Algorithmic authority and accountability
- AI governance in healthcare and institutional systems
- Socio-technical innovation as a site of distributive politics
- The limits of technical solutions in addressing structural inequality
(Representative publications are listed on the Books & Publications page.)
Governance Implications: What this means for leaders and institutions
This work speaks directly to leaders, policymakers, and institutions grappling with AI integration and digital transformation.
Key questions include:
- When should algorithmic systems recommend versus decide?
- Where does accountability reside when models are embedded in organizational workflows?
- How can institutions preserve ethical judgment under conditions of automation and scale?
My approach emphasizes governance design, epistemic responsibility, and institutional accountability—challenging narratives of technological inevitability and value-neutral innovation.
This applied work is closely integrated with my research and teaching and is developed in conversation with the Management & Social Justice Lab and its global network of scholars and practitioners.