Corporate Hybrid Intelligence

Corporate Hybrid Intelligence group is researching and developing hybrid intelligence in concrete corporate use case. Both humans and AI have strengths and weaknesses. Unit 2's work is focused around identifying these and creating socio-technical systems which are designed for optimal human-AI collaboration, where humans and machines complement each other. In order to explore and develop the human+AI workflows of tomorrow, we bridge the scientific fields of computer science, cognitive science and management.

The Future of Artificial Intelligence is Hybrid

Our goal is to enable public and private organizations to use AI in a responsible but successful manner. With our applied research we aim to improve the design, development and implementation of human+AI systems in real-world settings. Our research outcomes (i.e., methods, guides, design principles, algorithms) are helping organizations to build human+AI systems. It guides them in upskilling their workforce with AI augmentation tools. In this sense, we contribute to creating AI-assisted architects (see Autodesk project), photo editors (see Esoft project) and financial experts (see Vencortex project) that achieve a new level of excellence through AI augmentation.


  • Boston Consulting Group 2020: „Only 1 in 10 companies reports significant financial benefits form implementing AI.” However, the study also revealed: Those companies that draw on multiple types of interaction and feedback between humans and AI are 6X times more likely to amplify their success with AI”. [Source: Ransbotham et al. (2020)]

  • Deloitte 2017: “47% of [senior managers] find it difficult to integrate AI with existing people, processes, and systems.  [Source: Deloitte (2017)]

  • McKinsey Blog post 2022: “Why hybrid intelligence is the future of artificial intelligence at McKinsey” [Source: McKinsey (2022)]

  • Why Denmark is on the forefront of Hybrid Intelligence and Resposible AI:

Projects - "Science meets Industry"

We develop and explore new application domains for AI+Human driven applications. Together with our research partners we explore and test new scientific approaches in the industry. In this way, we do not only generate new knowledge for society, but also strengthen the economy and make our research partners ready for the digitalization of the future.

Research fields

The research on Hybrid Intelligence in corporate settings covers several core research fields:

  • Cognitive Science (Human Learning)
  • Computer Science (Machine Learning)
  • Human-Centered AI
  • Information System Management
  • Project and Change Management

We drive AI research projects from a human-centered and management perspective. Which is why we are located at the Department of Management at Aarhus BSS, the Business School of Aarhus University.

Our Approach

Our approach consist of 5 action points, that are executed within our "Hybrid Intelligence Development Lifecycle" including the ability to create human-in-the-loop systems to learn for algorithmic failures, the managerial commitment to a process leading to employee co-creation and upskilling and business process re-engineering.

Employee Upskilling

We believe in upskilling over firing. Our solutions focus on assessing implementation success of new methods and technologies on the basis of employee upskilling. We also measure improved outcomes in efficiency and other success metrics. Alleviated from fear of displacement, employees can comfortably lean into workflow mapping and reengineering.

Computational Understanding of Human Skills

We map all human tasks in the entire workflow in computational terms (analyze, compare, aggregate, evaluate, formulate, generate, etc.) in order to highlight human strengths and weaknesses and potentials for hybrid synergies.

Business Process Re-Engineering

We propose and help implement hybrid intelligence workflow patterns such as automation of routine tasks and development of specialization and customization of value chains, drawing on human expertise.

Human-Centered Interactions

We design Human-AI interactions in line with Human Centered AI principles. We do so with a special emphasis on making sure that the interactions allow for mutual human-AI learning.


Jacob Sherson
Professor with Special Responsibilities

Janet Rafner
Cognitive Science

Christian Bantle
MSc Business Intelligence
Strategic Assitant

Patrycja Rogozińska
MSc Business Intelligence
Business Administration