Towards a new mindset
Change in statistical organisations using the tool AI-Catch for Statistics
Introduction
This page presents a new approach to changes in statistical organisations using the tool AI-Catch for Statistics. Listen to podcast (AI generated) and/or get brief information in the text below.
Link to presentation: Short introduction to change in statistical organisation using AI
Link to draft workshop agenda: Change in statistical organisations using AI. A workshop agenda
1. Background
Organizations often face challenges when trying to implement changes, such as issues with data collection or when international guidelines don't fit their specific situations. AI-CATCH is designed to assist organizations with these challenges. It acts as a conversational partner that can offer alternative proposals, while ultimately allowing you to make your own decisions.
2. Workshop
AI-CATCH is supported by a workshop with three interacting parts: a) a facilitator, b) AI-CATCH with a knowledge base c) active participant involvement.
The workshop covers the following key skills:
- Change as problem-solving moving from existing to desired situation
- Artificial intelligence (GenAI) as exploration tools supporting human thinking
- Terminology and knowledge in your organisations. E.g. strategy, quality, processes etc
- Co-create changes together with colleagues with help from GenAI
- Hold on to the change processes in your organization
The AI-CATCH tool itself is a customized AI tool with relevant use-cases and knowledge that is specific and customized for your organization, including policies, standards, and guidelines. AI-CATCH can be used for learning about and chattting with standards, policies, and to support problem solving. You can insert a problem and current situation into AI-CATCH and receive suggested changes based on best practices and standards.
For example, AI-CATCH can be used to analyze a statistical act and suggest improvements.
3. Benefits
The use of AI-CATCH, along with the skills-focused workshop, provides numerous benefits for your organization. These include:
- Efficiency: Saving time and improving communication through the integration of best practices into problem-solving processes.
- Sustainability: Ensuring changes are absorbed by all stakeholders.
- Skills Development: Equipping teams with the latest knowledge and AI tools to manage organizational change.
The workshop and AI-CATCH provide a balanced mix of theory and practice, and can help you transform your organization by providing the skills needed to implement change.
4. Contact
For further information and to discuss your organization's specific needs, please contact:
Mogens Grosen Nielsen
Tel: +45 9397 7068
Mail: mogensgrosen@gmail.com
Web: nielsenstatistics.com
Lars Thygesen
Tel: +45 28403941
Mail: lthygesen@gmail.com
Web: thygesen-statisics.com
Theoretical background paper
Organizational Change: Systems Theory and AI. Conference paper by Mogens Grosen Nielsen
This paper explores applying Niklas Luhmann's social systems theory and generative AI to organizational change, specifically within statistical organizations. It argues that viewing organizations as self-referential systems, focusing on communication and self-observation, allows for a more nuanced understanding of change processes. The paper introduces concepts like first-order and second-order observations, emergent and generic knowledge, and the role of decision premises. Generative AI is proposed not as a mere tool, but as a communication partner to enhance self-observation and decision-making, improving cognitive capacity within the organization. The author illustrates this approach with examples from training courses and proposes an AI tool, AI-CATCH, to support change management based on these principles. The paper ultimately advocates for a new mindset in organizational change, integrating theory and AI for improved decision-making.
Links to selected material: