Background
The three-year participatory
Project AI.ASSIST
( https://www.ki-assist.de ), which was completed in March 2022, has shown that, from the point of view of the agents involved (people with disabilities and their representatives, vocational rehabilitation facilities, rehabilitation providers, companies in the general labor market, consulting agents),
AI-supported assistance technologies are classified as forward-looking technologies.
They have a high potential to support and improve the participation opportunities of people with disabilities in the world of work in a tailored and needs-oriented manner. At the same time, it has become clear that the prerequisites for the introduction of
AI-supported assistance technologies in vocational rehabilitation facilities as well as in companies are diverse and located at both the organizational and individual level.
In addition, they are subject to external framework conditions, such as legal or ethical guidelines for
AI use. On this basis, possible transformation processes triggered by the use of
AI technologies within the system of vocational rehabilitation and in the direction of an inclusive labor market are highly complex and multi-layered. They require a guided and systematic development of knowledge and competences, of networking and transfer structures as well as of demand-oriented participation formats on the part of the rehabilitation actors, the technology and research partners as well as on the part of the political agents and companies.
The
AI.ASSIST project was already able to offer initial approaches to an infrastructure for this during the project period, on which a "Competence Center for
AI-supported Assistance Technologies and Inclusion in the World of Work", or
KI-KOMPASS Inclusive for short, is to be built up in the follow-up project.
Objectives and methodology
The
KI-KOMPASS Inclusive Competence Center aims to build up an infrastructure for the transfer of knowledge from research and from test scenarios into the practice of vocational rehabilitation as well as into companies in the general labor market. The centre of attention is the needs of people with disabilities in the world of work. The target groups of the competence center are, in addition to people with disabilities, vocational rehabilitation facilities, rehabilitation providers, companies in the general labor market, and technology developers.
The fundamental findings from Project
AI.ASSIST form the basis for the three primary goals of
KI-KOMPASS Inklusiv, which are also reflected in the three pillars of the project as well as the cross-cutting themes of participation, accessibility, ethics and data protection:
- Development and provision of an available, regularly updated database for
AI-supported assistance technologies for inclusion in the world of work (pillar "Monitoring")
- Development of a consulting and information infrastructure for people with disabilities, vocational rehabilitation institutions, Rehabilitation providers as well as corporate partners of the general labor market (pillar "consulting and range of information")
- Participatory testing and development of sustainable solutions for the use of
AI-supported assistance technologies for inclusion in the world of work as well as its framework conditions (pillar "practice labs")
In the project
KI-KOMPASS Inklusiv, various research, participation, consulting and training formats are used, including.including quantitative and qualitative surveys, stakeholder workshops, feasibility analyses, literature and technology research and analyses, practice labs, demonstration formats, and expert conferences.
Subproject
The Federal Association of German Vocational Training Centres (Bundesverband Deutscher Berufsförderungswerke e.V.) will implement the "Practice Labs" subproject. This will involve:
1. the development and testing of sustainable solutions for the use of
AI-supported assistance technologies with a focus on inclusive workplace design in companies,
2. the development of concepts and recommendations to technology manufacturers for the development of barrier-free, inclusive technologies, and
3. the development and testing of measures and interventions for the adaptations of framework conditions, structures and processes for inclusion in the world of work.