Human Systems Integration 2026

From workshop ideas to a sharper network proposal

INCOSE HSI Working Group

2026-09-01

Re-opening the HSI2026 conversation

From a 14-person workshop to a wider conference discussion

Sunday 30 August 2026 | HSI2026 EMEA workshop

The workshop brought together 14 participants to explore a possible COST Action on Human Systems Integration.

Today, we are opening the conversation again to the wider conference community.

The purpose: prepare a COST proposal

COST is the European Cooperation in Science and Technology programme. It funds networking: people meeting, exchanging knowledge, training, creating collaborations, and preparing future research and innovation.

The proposal we are exploring would create a network focused on Human Systems Integration for AI-infused critical sociotechnical systems.

The network would connect disciplines, countries, sectors, and existing projects so that HSI can be addressed earlier and more coherently in the design and use of critical systems.

What did we ask in the workshop?

The workshop questions

We asked participants to explore:

  • which systems and application domains should define the network;
  • which HSI challenges need coordination;
  • which objectives and tangible products would be valuable;
  • which activities could create those products;
  • what would make the network distinctive and successful;
  • who should participate, and which communities should be connected.

1. A focused HSI network

The proposed focus

Create a network around Human Systems Integration for AI-infused critical sociotechnical systems.

The focus is not “AI” in general. It is the design, integration, operation, and evolution of critical systems in which AI functions change what people can perceive, decide, control, and be held responsible for.

Why AI-infused critical systems require HSI

The workshop repeatedly returned to systems where outcomes depend on the interaction between:

  • people and AI-enabled functions;
  • distributed human-machine networks;
  • organizations, procedures, and technologies;
  • decisions made under uncertainty and time pressure;
  • systems that may adapt, recommend, act, or coordinate with limited predictability.

The critical question: who controls the system?

The workshop distinguished between being present in a system and having the conditions to control it.

  • Can the human observe what the system is doing and why?
  • At which points can the human accept, reject, interrupt, or redirect its action?
  • Does the human have enough time, knowledge, and understanding to decide?
  • Is the authority to act aligned with the responsibility assigned to the human?
  • Does the system preserve human capability and proficiency for exceptional situations?

First scope question: which system properties matter?

The workshop invited participants to identify properties of systems that should be central to HSI research and practice:

  • highly coupled joint cognitive systems;
  • Human-AI teaming;
  • distributed decision and action across human-machine networks;
  • predictive and non-predictive agents;
  • human-in-the-loop simulation;
  • maturity assessment and anticipation rather than prediction;
  • human-on-the-loop and human-after-the-loop arrangements;
  • meaningful control, authority, and liability.

Second scope question: in which domains?

The workshop suggested application domains where these properties could be examined:

  • defence;
  • transport: aviation, automotive, and maritime;
  • health;
  • decision support in highly uncertain situations;
  • energy production and distribution;
  • education, space, manufacturing, and service engineering.

2. What was prioritized

Five challenges rose to the top

Priority signal Points
Safety of Human-AI interactions 285
Early architecting for joint cognitive systems 200
Value analysis 177
Advanced HSI modelling 173
Verification and validation 172

The additional challenges identified

The workshop asked for one challenge missing from the initial list. These were the exact responses and like counts:

  • Legal responsibility — 5 likes
  • Training for complex systems — 4 likes
  • Critical thinking — 2 likes
  • HSI as a core engineering discipline — 2 likes
  • Different humans think differently, in relation to diversity and inclusion — 2 likes
  • Tangibility in digital engineering — 1 like
  • Long-term effects of HSI designed mostly for adults on young people — 1 like
  • AI becoming the medium of decision — 0 likes

3. What could the network do?

A network, not one more research project

The proposed role is to:

  • understand and synthesize existing HSI work;
  • connect researchers, engineers, practitioners, educators, and stakeholders;
  • compare methods, evidence, and use cases across domains;
  • provoke new collaborations and open paths for future research.

It would coordinate existing work, compare approaches, connect researchers with practice, and create conditions for future projects.

Two complementary objectives

Research coordination

  • shared HSI language and concepts;
  • map projects, methods, networks, and gaps;
  • compare evidence and use cases;
  • coordinate a forward-looking research agenda.

Capacity building

  • practical workflows and guidance;
  • training schools and educational material;
  • mentoring and early-career participation;
  • exchange among academia, industry, policy, and practice.

The practical outputs people preferred

The strongest product signals were:

  1. HSI Engineering Workflows Playbook
  2. Guidelines for HSI influence on AI development
  3. Reference book or database of HSI use cases
  4. Field guide for transdisciplinary HSI practice

Training materials and HSI heuristics were also strongly supported.

How activities would turn ideas into usable outputs

Activities

  • workshops and conferences to compare methods and practical cases;
  • meetings and stakeholder roundtables to coordinate existing work;
  • training schools to create and test educational material;
  • scientific missions for focused cross-border exchange;
  • virtual networking to maintain a shared repository and progress.

Community

  • researchers and engineers who contribute methods and real cases;
  • practitioners who test workflows against day-to-day constraints;
  • educators who turn outputs into courses and training schools;
  • mentors and early-career participants who carry the work forward;
  • existing networks that can share knowledge instead of being duplicated.

The activities are not separate from the products: they are how products become tested, taught, maintained, and reused.

4. What should be distinctive?

Focused on AI-infused critical sociotechnical systems

The network would focus on how to integrate people, organizations, and AI-enabled technologies when system failure, loss of control, or unclear responsibility can have serious consequences.

Its distinctive contribution would be to:

  • make HSI concepts usable at the point of early system architecting;
  • connect technical design decisions to authority, accountability, training, and work context;
  • compare critical use cases across domains without pretending that one method fits all;
  • preserve and exchange organizational experience, including failures and near misses;
  • build capability through practical resources, mentoring, and cross-border learning.

The working proposition

Create a network that improves the design and use of AI-infused critical sociotechnical systems by integrating human, organizational, and technical concerns from the start.

The proposal is intentionally open at this stage.

Today, the wider HSI community can help refine:

  • what the network should make possible that existing communities do not;
  • which system properties and domains should anchor the work;
  • which two or three outputs deserve scarce effort;
  • which ideas, cases, communities, and contacts could strengthen the proposal.

Your turn: sharpen the proposal

Discussion 1 — Refine the goal and focus

What should this network make possible?

What specific gap would the network fill for AI-infused critical sociotechnical systems?

What belongs inside the core scope?

Which system properties and application domains should be central?

What should be narrowed or left out?

Discussion 2 — Which challenges should anchor the proposal?

If the proposal can foreground only two or three challenges, which should they be?

Consider:

  • the prioritized engineering challenges;
  • legal responsibility and the alignment of authority with accountability;
  • training, proficiency, complexity, diversity, and engineering culture.

Discussion 3 — What should the network deliver?

Which two or three products would be:

  • genuinely useful in practice;
  • feasible for a networking action;
  • distinctive enough to justify the network;
  • testable with real cases and stakeholders?

Discussion 4 — Ideas, cases, and contacts

What idea, real-world case, activity, or existing resource should be included?

  • academia;
  • engineering practice and industry;
  • public authorities and law;
  • education and civil society;
  • early-career researchers and underrepresented countries.

Which networks, projects, or communities should be connected? Who could help us reach them?

Closing: three signals for the next draft

Before we close, please offer one of each:

  1. Strengthen: one direction the proposal should emphasize.
  2. Narrow or drop: one direction that risks making the network too broad.
  3. Contribute: one kind of expertise, case, activity, idea, or connection you could help bring.

The proposal is open

The first workshop gave us a strong starting point.

This wider conversation can help turn it into a focused, useful, and connected HSI network.

Thank you.

Source note

This draft synthesizes participant responses and the workshop discussion. The findings are directional and intended to support continued conversation, rather than represent a finished proposal or a formal survey.