Meet KIDD – Artificial Intelligence Serving Diversity
The core objective of the project is to enable companies to actively participate in shaping digitalization processes within their organizations by discussing the HOW of digitalization in a fair, transparent, and comprehensible manner.
But why do we need diversity in the AI context?
In addition to the enormous potential for automation, efficiency gains, and data-driven decision-making, organizations can use AI to solve complex problems, predict trends, and create personalized decisions for customers.
However, the use of data has advantages and disadvantages.
The more decision-making processes are automated and integrated into self-learning systems, the more important the transparency of the underlying data sets on which the decisions are based. This increases the importance of data diversity. Thus, the lack of (gender) diversity underlying algorithms leads to distortions in automated results and decisions.
The KIDD consortium brings together 8 companies and partner organizations (nexus Institut, female.vision e.V., TU Berlin, Q_PERIOR AG msg systems AG CHEMISTREE GmbH, Heraeus Medical GmbH, epsum GmbH) that will implement the research project over a research period of three years.
The difgl managing directors Katja Anclam and Christoph Henseler are among the four initiators and have been involved in the project from the very beginning.
Launched in October 2020 as a project funded by the Federal Ministry of Labor and Social Affairs (BMAS) under the umbrella of the New Quality of Work Initiative (INQA).
Introducing KIDD
