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AIcademy

AI Governance and Organization-wide Deployment

Introduction


How do you ensure that AI is deployed in a responsible, transparent and efficient manner within your organization? In this knowledge session, you will get a complete overview of what this entails — from drawing up clear internal agreements and roles, to implementing ethical frameworks and complying with laws and regulations such as the AI Act and the GDPR .

You will learn how to structure AI governance , create support and integrate AI into existing processes, decision-making and organizational culture. The session offers concrete tools for policy, supervision, risk management and change management around AI.



Learning objectives


1. Establish internal AI frameworks and policies


  • Formulate AI guidelines for responsible use within teams and projects

  • Make agreements about the use of AI tools such as ChatGPT, Copilot or Claude

  • Establish procedures for assessment, transparency and ethical review


2. Clarify roles and responsibilities


  • Insight into who is responsible for what when using AI (e.g. data owner, assessor, administrator)

  • Governance structure around the use, evaluation, and supervision of AI systems

  • Preparing for audits and internal control measures


3. Working within legal and ethical frameworks


  • Understanding the AI Act : Risk Categories, Obligations and Exceptions

  • Application of the GDPR when using AI in personal data

  • Guidelines for low-risk AI and division of responsibility within the chain

  • Attention to explainability, human intervention and non-discrimination


4. Integrate AI into the organization and change management


  • Connecting AI to strategy, innovation and quality improvement

  • Creating awareness and support at various levels of the organization

  • Incorporating AI into existing purchasing, tooling and project management processes

  • Building a culture of responsible experimentation and learning with AI


Approach and working methods


This session combines theory with practical examples from organizations that are already working with AI. There is room for reflection on your own organization, and we discuss which steps are needed to structurally and responsibly embed AI. Optionally, we can collect input from your organization in advance to tailor the session even better to your situation.


For whom


This session is intended for MT members, policy advisors, project leaders, innovation managers, compliance officers and AI managers who are working on setting up policy and governance around AI in their organization.


Interested in this session?


Feel free to contact us. We would be happy to think along with you about a suitable solution for your team, policy trajectory or change assignment.

AI Governance and Organization-wide Deployment

Introduction


How do you ensure that AI is deployed in a responsible, transparent and efficient manner within your organization? In this knowledge session, you will get a complete overview of what this entails — from drawing up clear internal agreements and roles, to implementing ethical frameworks and complying with laws and regulations such as the AI Act and the GDPR .

You will learn how to structure AI governance , create support and integrate AI into existing processes, decision-making and organizational culture. The session offers concrete tools for policy, supervision, risk management and change management around AI.



Learning objectives


1. Establish internal AI frameworks and policies


  • Formulate AI guidelines for responsible use within teams and projects

  • Make agreements about the use of AI tools such as ChatGPT, Copilot or Claude

  • Establish procedures for assessment, transparency and ethical review


2. Clarify roles and responsibilities


  • Insight into who is responsible for what when using AI (e.g. data owner, assessor, administrator)

  • Governance structure around the use, evaluation, and supervision of AI systems

  • Preparing for audits and internal control measures


3. Working within legal and ethical frameworks


  • Understanding the AI Act : Risk Categories, Obligations and Exceptions

  • Application of the GDPR when using AI in personal data

  • Guidelines for low-risk AI and division of responsibility within the chain

  • Attention to explainability, human intervention and non-discrimination


4. Integrate AI into the organization and change management


  • Connecting AI to strategy, innovation and quality improvement

  • Creating awareness and support at various levels of the organization

  • Incorporating AI into existing purchasing, tooling and project management processes

  • Building a culture of responsible experimentation and learning with AI


Approach and working methods


This session combines theory with practical examples from organizations that are already working with AI. There is room for reflection on your own organization, and we discuss which steps are needed to structurally and responsibly embed AI. Optionally, we can collect input from your organization in advance to tailor the session even better to your situation.


For whom


This session is intended for MT members, policy advisors, project leaders, innovation managers, compliance officers and AI managers who are working on setting up policy and governance around AI in their organization.


Interested in this session?


Feel free to contact us. We would be happy to think along with you about a suitable solution for your team, policy trajectory or change assignment.

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Description:
Get an overview of how to use AI responsibly within an organization: from usage policies to ethics, risks and roles.


Learning objectives:

  • Establish internal AI agreements and frameworks.

  • Define roles and responsibilities (data, evaluation, supervision).

  • Understanding AI Act, GDPR and guidelines for low-risk AI.

  • Integrating AI into organizational culture and change management.


For whom: MT, policy advisors, project leaders and AI managers within organizations.

AI Governance and Organization-wide Deployment

Introduction


How do you ensure that AI is deployed in a responsible, transparent and efficient manner within your organization? In this knowledge session, you will get a complete overview of what this entails — from drawing up clear internal agreements and roles, to implementing ethical frameworks and complying with laws and regulations such as the AI Act and the GDPR .

You will learn how to structure AI governance , create support and integrate AI into existing processes, decision-making and organizational culture. The session offers concrete tools for policy, supervision, risk management and change management around AI.



Learning objectives


1. Establish internal AI frameworks and policies


  • Formulate AI guidelines for responsible use within teams and projects

  • Make agreements about the use of AI tools such as ChatGPT, Copilot or Claude

  • Establish procedures for assessment, transparency and ethical review


2. Clarify roles and responsibilities


  • Insight into who is responsible for what when using AI (e.g. data owner, assessor, administrator)

  • Governance structure around the use, evaluation, and supervision of AI systems

  • Preparing for audits and internal control measures


3. Working within legal and ethical frameworks


  • Understanding the AI Act : Risk Categories, Obligations and Exceptions

  • Application of the GDPR when using AI in personal data

  • Guidelines for low-risk AI and division of responsibility within the chain

  • Attention to explainability, human intervention and non-discrimination


4. Integrate AI into the organization and change management


  • Connecting AI to strategy, innovation and quality improvement

  • Creating awareness and support at various levels of the organization

  • Incorporating AI into existing purchasing, tooling and project management processes

  • Building a culture of responsible experimentation and learning with AI


Approach and working methods


This session combines theory with practical examples from organizations that are already working with AI. There is room for reflection on your own organization, and we discuss which steps are needed to structurally and responsibly embed AI. Optionally, we can collect input from your organization in advance to tailor the session even better to your situation.


For whom


This session is intended for MT members, policy advisors, project leaders, innovation managers, compliance officers and AI managers who are working on setting up policy and governance around AI in their organization.


Interested in this session?


Feel free to contact us. We would be happy to think along with you about a suitable solution for your team, policy trajectory or change assignment.

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