Human-AI roles in teams

How to distribute roles and responsibilities between humans and AI in teamwork?

1250 € per session, excl. VAT

In short

Improve team collaboration and clarity by defining roles for both humans and AI. This course helps you establish clear responsibilities and decision-making processes when AI contributes to projects, ensuring transparency and ethical alignment without focusing on specific tools or complex governance policies.

Why this training?

As AI assistants become integral team members, their contributions create ambiguity around roles and accountability. Who is responsible when an AI provides flawed data? How do we inform clients about AI's role without diminishing our value? This course addresses these critical human-centric questions. It provides a structured approach for teams to define how they will work with AI, ensuring clarity, maintaining professional standards, and fostering a collaborative environment. It focuses on the 'how' of teamwork, not the 'what' of AI technology, building the essential human skills for the future of work. Exercises are highly interactive and collaborative, focusing on real-world scenarios. Participants will work in small groups to analyze case studies, build RACI matrices including AI, and role-play client conversations. The capstone exercise involves collectively drafting a team agreement for human-AI collaboration, applying the frameworks learned throughout the session. Fictional or anonymised cases are used to ensure relevance and confidentiality. Deliverables: A draft RACI matrix for a sample project including AI.; A template for a team agreement on human-AI collaboration.; A checklist for ethical escalation when using AI.. This is not a technical course on AI tools, nor does it provide legal advice or establish official corporate governance policies. It focuses exclusively on team-level agreements and practices for collaboration between humans and AI. The workshop is delivered in person as a private session for up to 12 participants, in one language chosen from French, Dutch and English. All exercise data is fictional or anonymised, and every result produced with AI is reviewed and validated by a responsible person. The aim is a bounded result the team can reuse, not a promise of deployment.

Objectives of this training

  • Define accountability when AI contributes to team output.
  • Apply a RACI matrix that includes AI as a contributor.
  • Establish communication protocols for transparency with colleagues and clients.
  • Develop a process for escalating ethical doubts related to AI's contributions.
  • Create a team agreement for human-AI collaboration.

Who is it for and what are the prerequisites?

Roles and tasks concerned

  • Team Leaders and Managers
  • Project Managers
  • Team members collaborating with AI

Prior skills

  • Participants should have completed the 'AI Fundamentals' and 'AI Prompting' courses or possess equivalent experience. While this course focuses on human skills and is practiced without specific tools, the AI-assisted exercises require access to an AI assistant authorized by your organization. This must be a paid plan with the necessary features, using real accounts and permissions. All case studies are fictional or anonymized.

What you will work on

  1. Who Decides, Who Checks, Who Is Accountable?

    Understanding accountability in the age of AI. Distinguishing between AI output and human responsibility.

  2. How to Adapt the RACI Framework for AI?

    Introducing AI as a new type of contributor in a RACI matrix. Defining 'Responsible', 'Accountable', 'Consulted', and 'Informed' for AI tasks.

  3. How to Ensure Transparency and Trust?

    Developing protocols for disclosing AI use to colleagues and clients. Strategies for building trust within human-AI teams.

  4. What is Our Team's Agreement for Ethical AI Use?

    Identifying potential ethical gray areas in your team's workflow. Creating a clear escalation path for ethical concerns.

What you take away

  • A draft RACI matrix for a sample project including AI.
  • A template for a team agreement on human-AI collaboration.
  • A checklist for ethical escalation when using AI.

Method and assessment

  • Interactive workshops
  • Collaborative exercises on case studies
  • Peer-to-peer feedback sessions

Participants' understanding is evaluated through their active participation in exercises, the quality of the deliverables produced, and a final group discussion presenting their team agreement.

Frequently asked questions

What concrete result does this course deliver?

This course provides a clear framework for integrating AI into teamwork, defining responsibilities to improve collaboration and mitigate risks. Deliverables: a draft raci matrix for a sample project including ai., a template for a team agreement on human-ai collaboration., a checklist for ethical escalation when using ai..

Who is this course for and what are the prerequisites?

It is designed for: team leaders and managers, project managers, team members collaborating with ai. Participants should have completed the 'AI Fundamentals' and 'AI Prompting' courses or possess equivalent experience. While this course focuses on human skills and is practiced without specific tools, the AI-assisted exercises require access to an AI assistant authorized by your organization. This must be a paid plan with the necessary features, using real accounts and permissions. All case studies are fictional or anonymized.

What data and access need to be arranged?

To prepare the session, we will need a brief on the team's main activities and the types of AI assistants they plan to use. Required tools and licences are checked before the session; no subscription is included in the price.

What practical exercise is completed?

Exercises are highly interactive and collaborative, focusing on real-world scenarios. Participants will work in small groups to analyze case studies, build RACI matrices including AI, and role-play client conversations. The capstone exercise involves collectively drafting a team agreement for human-AI collaboration, applying the frameworks learned throughout the session. Fictional or anonymised cases are used to ensure relevance and confidentiality.

What are the limits and who validates the results?

This is not a technical course on AI tools, nor does it provide legal advice or establish official corporate governance policies. It focuses exclusively on team-level agreements and practices for collaboration between humans and AI.

Can the course be adapted to our line of work?

The case studies and scenarios can be tailored to the specific industry and common workflows of the participating team, making the exercises directly applicable to their daily challenges and projects.

How is the session organised and what does it cost?

Half-day, private in-person session for up to 12 participants. The fee is €1,250 excluding VAT per session. Date and location are agreed during scoping; each session runs in a single language: French, Dutch or English.

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