Technology with responsibility built in.
Responsible Systems Lab is a small, independent, early-stage research initiative developing research-driven prototypes for safer, more humane, and more accountable technology systems — working across software, AI, sensing, cloud, and human-centered design to help protect people, children, animals, and ecosystems in an increasingly automated world.
We build and study technology so it protects people, children, animals, and ecosystems.
Responsible Systems Lab develops and studies practical technologies that help make complex systems safer, more humane, and more accountable. We focus on responsible AI, sensing, automation, verification, risk detection, and welfare-aware systems for real-world environments where technology affects people, communities, animals, and the environment.
We are an informal, interdisciplinary project group working on early-stage ideas, prototypes, and research-driven concepts — not an anti-technology campaign, and not a company selling a finished product. Our aim is technology that earns trust through transparency, human oversight, and practical risk reduction.
Powerful systems need accountability designed in — not added later.
AI agents, automation, robotics, sensing platforms, and cloud systems are becoming part of everyday life. They can improve society, but they can also create risks when they are not designed with accountability, safety, welfare, and human dignity in mind. We focus on practical ways to make technology more transparent, verifiable, and aligned with real-world human and ecological needs.
Where we work.
Six themes guide our projects. Our first project, StunAssure, sits within welfare-aware systems and risk detection.
Responsible AI & agentic systems
Designing AI and automated systems that stay understandable, accountable, and aligned with human needs and oversight.
Human dignity & safety
Building systems that protect people, respect rights and privacy, and reduce harm in real-world environments.
Child-safe technology
Exploring safeguards and design principles that help protect children in digital and automated systems.
Welfare-aware systems
Creating tools that consider the well-being of animals and living systems affected by human technology.
Risk detection & verification
Developing practical methods to identify failures, verify processes, and support better, evidence-based decisions.
Ecosystem responsibility
Supporting technology that respects biodiversity, sustainability, and ecological resilience.
StunAssure.
Welfare assurance for humane fish slaughter.
StunAssure is a Responsible Systems Lab project exploring how sensing, software, and expert-informed risk analysis can support more humane fish stunning and slaughter. It helps detect possible process failures, document risk signals, and support continuous improvement.
It does not claim that software alone can determine consciousness. Instead it provides a verification layer that surfaces observable risk and routes uncertain cases to expert review.
View StunAssureA small, interdisciplinary project group.
Leadership, software, hardware, and human-centered deployment — with welfare validation reviewed by a planned external advisor.
Fereshteh Zavvari
Leads project vision, coordination, systems design, and deployment strategy, with an architecture and urban-design background applied to real-world workflows.
Mohsen Seyedkazemi Ardebili
Builds the digital foundation: data collection, risk-scoring logic, dashboards, reporting, automation, and scalable architecture.
Mahyar Pourjabar
Leads sensors, low-cost prototyping, camera/edge-device feasibility, and device–software integration in the field.
External advisor — planned
The team plans to involve an external welfare advisor in Phase 1 to review indicators and keep the work scientifically grounded. Full team & advisory →
Let's build responsible systems together.
We welcome collaboration, advisors, and partners — in fish welfare and aquaculture for StunAssure, and across responsible AI, sensing, and human-centered design for future work.
Get in touch