AI Design Competence

The concept

More ethically responsible and sustainable AI design innovation is possible – establishing AI design competence in the domains is key.

As mentioned before, algorithmic innovation leads to qualitative and quantitative altered design competencies and demand for these. To be able to design more sustainably and ethically more digital competencies especially AI design competence is needed.
The core of the AI design competence concept is a perspective, which holistically integrates both the competencies and embedded knowledge of the algorithmic system (AI) and the competencies and knowledge of individuals/humans (in the respective domains or arenas).
AI design competence enables humans to assess, imagine, and evaluate the results and consequences of their handling in the context of there interaction with AI applications and the consequences for design.

With this holistic approach, more ethically responsible and sustainable developments and solutions in the field of AI design innovation are assured.

The concept of AI design competence is based on the following questions:

How do you design now or in the future with the help of AI?

Which biases need to be considered?

Which competencies and which (secured) knowledge are stored in the AI (the technical system) and made available to the user?

What competencies does the individual (the designer) need to have, use and incorporate to efficiently design with the AI?

How are the interaction and the agency of the user safeguarded?

RULEBOOK for more ethical and sustainable AI-based design innovation

Due to the lack of commonly accepted guidelines, we also discussed a ‘rulebook’ with our experts, which aims at spurring attention for those who are in train of using the potentials of AI in designing new solutions (AI developers, domain experts and stakeholders). This ‘rulebook’ is meant to stimulate discussions and support initiatives.

Data Science and AI Design Competence:
The Challenges and Opportunities of Higher Education Institutions

We have also thought about the challenges and opportunities that higher education institutions face against the background of the progress of data science and AI.

Our insights have been discussed in September 2018, in a keynote presentation on ‘the contribution of data science to the management of the future, innovation and projects at higher education institutions – an exploration of dynamics and necessities”, at the symposium ‘Data Science at Higher Education Institutions with a special appreciation of data ethics’ (HIS/German Federal Ministry of Education and Research)  on 09/19/2018 in Hanover.

Please find the presentation (in German language)