Germany - Participatory AI Labs

AI Studios – AI Experience Workshops for Participatory Design of Workplace AI Applications

KI-Studios – KI-Erlebniswerkstätten für die partizipative Gestaltung betrieblicher KI-Anwendungen

Germany

RAI-DE-NA-KBPPWXX-2023
Effective: 12 Sep 2023
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KI-Studios is a BMAS-funded, Fraunhofer/University of Stuttgart-implemented programme (launched 12 September 2023) that creates stationarity and mobile ‘AI experience workshops’ to inform, sensitize and enable participatory design of workplace AI, with a focus on SMEs and workers’ involvement. The project provides interactive demonstrators, workshops and an ideas competition to foster human-centred and socially responsible AI adoption in companies.

Summary

KI-Studios (full title: "KI-Studios – KI-Erlebniswerkstätten für die partizipative Gestaltung betrieblicher KI-Anwendungen") is a practical, government-funded initiative launched by the German Federal Ministry of Labour and Social Affairs (BMAS) on 12 September 2023. The project is implemented by the Fraunhofer Institute for Industrial Engineering (IAO) together with the Institute for Work Science and Technology Management (IAT) at the University of Stuttgart. Its stated objective is to make artificial intelligence tangible and understandable for workers and workplace representatives (e.g., Betriebsräte) and to promote the participatory design of AI systems introduced in companies. The approach combines two stationary KI-Studios (initially in Munich and Stuttgart), two KI-Infomobiles that travel to workplaces, interactive demonstrators that simulate realistic job tasks with AI, and hands-on workshops and formats aimed at enabling employees to reflect on benefits, risks and design choices.

The BMAS committed approximately EUR 4.1 million of funding for the first phase (through 2024) and dedicated a separate EUR 1 million ideas competition to source partner demonstrators and local project proposals. The BMAS press release and related procurement / terms documents (Leistungsverzeichnis) set specific operational targets for the programme (phase 1): roughly 250 events reaching approximately 2,300 companies (BMAS figures), with the Leistungsverzeichnis further articulating a target of 250 events and over 5,000 participants in certain descriptions and clarifying procurement structure, deliverables and selection criteria for cooperation partners. The demonstrators are required to be low-threshold, physically tangible where possible, inclusive, and clearly tied to workplace contexts (e.g., scheduling, document analysis, production planning). The project explicitly prioritizes small and medium-sized enterprises and aims to involve employees and their interest representatives up front to increase acceptance and ensure that AI systems are configured and deployed in ways compatible with decent work and occupational health and safety.

Operationally, KI-Studios blends public outreach (mobile units touring companies and events), participatory workshops (aimed at co-design and reflection), and a partner network to scale reach. The initiative also carries an evaluative component: deliverables include documenting demonstrator designs, aggregating findings from workshops, iterating demonstrators with user feedback, and contributing to a nationwide, inclusive network to improve workers’ digital and AI-related competencies. Following a successful first phase (2023–2024), the project entered an extension/second phase to continue outreach and develop additional demonstrators (including for generative AI) and workshops (announced in Fraunhofer communications in 2025).

KI-Studios is not a binding law or regulation governing AI systems per se — rather it is a funded policy programme and public education/intervention instrument intended to support responsible, worker-centred AI adoption in German workplaces. Its legal consequences are primarily contractual (funding agreements and procurement obligations for partners) and practical (guidance and participatory formats that influence implementation practice). Key compliance obligations for funded partners are set out in the procurement documentation (Leistungsverzeichnis) and typical public-funding terms: deliver the agreed demonstrators and events, meet accessibility and inclusivity criteria, ensure data protection when demonstrators/ workshops process personal data, and report outcomes for monitoring and evaluation. The programme is positioned within the BMAS digitalisation / national AI strategy ecosystem and links to the BMAS KI-Observatorium and other federal initiatives addressing AI and work.

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Overview

The KI-Studios programme, launched by the German Federal Ministry of Labour and Social Affairs (BMAS) on 12 September 2023, funds and organises interactive, participatory AI experience workshops for workers and workplace representatives. It is implemented by the Fraunhofer IAO and the IAT (University of Stuttgart) and combines two stationary studios (Munich, Stuttgart), two mobile "KI-Infomobiles" and a network of local partners to bring interactive demonstrators and low-threshold workshops into companies — especially small and medium-sized enterprises. The BMAS press release describes targets for the initial phase to reach hundreds of companies and thousands of participants, and the project is documented in the official Leistungsverzeichnis (procurement/specification) published by BMAS/Fraunhofer. See the BMAS project announcement at BMAS press release (12 Sept 2023) and the project pages at Fraunhofer IAO - KI-Studios.

Definitions

For the purposes of the KI-Studios programme: "KI-Studios" refers to the project infrastructure (stationary sites + mobile units) and its events; "demonstrators" are interactive, often physical exhibits that illustrate an AI application in a workplace scenario; "participatory design" denotes methods and workshops that involve employees and their representatives in ideation, evaluation and adaptation of potential AI uses; "ideas competition" describes the BMAS-funded call for partner proposals contributing demonstrators, formats or regional infrastructures. These definitions are derived from the project Leistungsverzeichnis published by Fraunhofer under BMAS funding.

Governance and Institutional Framework

The KI-Studios project is funded by the BMAS and implemented operationally by the Fraunhofer IAO together with the IAT at the University of Stuttgart. BMAS functions as the programme sponsor/funder, sets broad objectives and funding envelopes, and publicises outcomes through its communication channels. Fraunhofer IAO leads procurement and partner coordination, curates demonstrators, schedules the KI-Infomobil tours, and organises workshops. The formal procurement rules, selection criteria for cooperating partners and the structure of deliverables are laid out in the publicly available Leistungsverzeichnis (phase 1), which describes the multi-stage procurement process and jury evaluation for the ideas competition. Project governance emphasizes partnerships with regional stakeholders (chambers, trade associations, trade unions, works councils and training centres) to maximise reach and ensure social-partner involvement. For primary documentation see the BMAS announcement (BMAS press release) and the Leistungsverzeichnis PDF hosted by BMAS/Fraunhofer (Leistungsverzeichnis (Phase 1)).

Key Focus Areas

KI-Studios addresses four interlocking focus areas: (1) information & literacy — conveying what AI is, how it works and where it can (and cannot) add value in the workplace through accessible demonstrators; (2) participation & co-design — equipping employees and works councils with methods and formats to contribute to design decisions; (3) impact & scale — building a distributed network of demonstrators and partners to reach SMEs and diverse sectors nationwide; and (4) evaluation & iteration — developing demonstrators iteratively with user feedback and documenting lessons learned for broader dissemination. The Leistungsverzeichnis specifies that demonstrators should be tangible, low-threshold, accessible, and oriented to specific workplace tasks, while workshops should address both opportunities (efficiency, quality of work) and risks/challenges (work intensification, data protection, bias). The project explicitly targets small and medium-sized enterprises and aims to involve works councils and employee representatives in order to foster trust and socially-compatible implementation practices. For programme aims and technical orientation see Fraunhofer documentation (Fraunhofer IAO - project description).

Implementation Framework

Implementation combines station-based programming (Munich and Stuttgart studios), mobile outreach (two KI-Infomobiles touring companies and public events), a partner ideas competition (with up to EUR 1M funding for partner projects) and a monitoring/reporting programme. Procurement and partner selection follow the multi-stage scheme set out in the Leistungsverzeichnis: a participation phase (Phase 1) for expressions of interest and a subsequent call for full offers for selected applicants. Deliverables include demonstrator prototypes, workshop formats, public events, documentation of outcomes and local partner networks. Data protection, accessibility and diversity are specified as mandatory design principles for demonstrators and formats. The Fraunhofer project pages and the project website describe the operational modalities, booking/contact arrangements (e.g., [email protected]) and event listings for interested companies and organisations. See the KI-Studios project portal at ki-studios.ai and Fraunhofer information pages.

Monitoring and Evaluation

Monitoring is delivered via mandatory reporting by funded partners and central documentation by the implementing institutions. The Leistungsverzeichnis requires documentation of participant numbers, demonstrator usage and qualitative outputs from workshops; reporting feeds into BMAS impact assessments and national reporting on AI strategy implementation. The Fraunhofer 2025 updates indicate that early phases reached the anticipated scale (over 2,300 companies and 250 events during the initial period) and that the project was extended into a second phase to deepen outreach and develop new demonstrators (including generative AI topics). The project also feeds insights into the BMAS KI-Observatorium, which synthesises findings across government AI initiatives in the labour domain.

Penalties, Liability, and Appeals

KI-Studios itself is a funded programme; legal obligations attach primarily to funding and procurement contracts. Typical remedies for non-compliance include contractual enforcement, requirement to repay misallocated funds, termination of agreements and exclusion from further funding rounds. Liability for demonstrators and events (e.g., personal injury at events, data breaches) rests with the implementing partner under standard civil and public procurement rules; data protection breaches would trigger obligations under the EU General Data Protection Regulation (GDPR) and possible sanctions by supervisory authorities. The Leistungsverzeichnis defines contractual deliverables and selection criteria; any specific penalties or repayment conditions are governed by the funding agreements signed between Fraunhofer and cooperating partners as well as by BMAS grant/funding terms. Parties retain ordinary legal remedies and appeal routes under procurement and administrative law where applicable.

Relationship to Other Instruments

KI-Studios is positioned as an operational instrument within a broader German AI policy and labour-policy ecosystem. It complements the BMAS KI-Observatorium (which provides research, monitoring and guidance on AI in work), national AI strategy activities, sector-specific guidance (e.g., for healthcare and industrial production) and European AI policy developments. The project’s documentation and demonstrator outputs are intended to inform workplace-level implementation practices and to feed into regulatory and advisory processes on AI governance, worker participation and digital skills. The Leistungsverzeichnis and BMAS communications explicitly frame the project as part of the federal AI strategy and a measure to foster socially responsible AI at the workplace.

International Alignment

While a nationally funded programme focused on German workplaces, KI-Studios aligns with international principles for trustworthy AI (e.g., human-centred design, involvement of stakeholders, explainability and data protection). The participatory approach mirrors OECD and EU-level guidance that promote stakeholder engagement and human oversight in AI deployments. Insights from the KI-Studios demonstrators and workshops can inform European debates and contribute empirical evidence to cross-border standard setting and skills initiatives. The project documentation emphasises compatibility with GDPR requirements and social-partner traditions (co-determination) that have parallels in international labour and AI governance frameworks.

Implementation Timeline

EventDate / Period
Project launch / first KI-Studio opening (Munich)2023-09-12
Leistungsverzeichnis publication (Phase 1 documentation)2023-09-11
Deadline (ideas competition initial call)2023-10-16
Second stationary studio opened (Stuttgart)2024-02 (reported)
First-phase target period (initial funding window)through 2024
Reported first-phase achievements (events/companies reached)2024 (reports) / Fraunhofer 2025 press update
Project second-phase extension announcement2025-01-30

Sources and References

SourceType
BMAS — Projektauftakt "KI-Studios" (press release, 12 Sep 2023)Primary Source
Leistungsverzeichnis (Phase 1) — BMAS / Fraunhofer (procurement/specification PDF)Primary Source
Fraunhofer IAO — KI-Studios project pagePrimary Source
KI-Studios project portal (fraunhofer-managed)Primary Source

Requirements for a company

What an organisation has to do under Germany - Participatory AI Labs, at a glance. Not legal advice — the table below gives the provision and deadline for each item.

Must do

7
  • Adhere strictly to all terms of funding and procurement contracts.Implementing partners and funded partners
  • Ensure full compliance with the EU General Data Protection Regulation (GDPR).Implementing partners processing personal data
  • Deliver demonstrator prototypes, workshop formats, and public events as specified.Implementing partners and funded partners
  • Integrate data protection, accessibility, and diversity as mandatory design principles.Implementing partners and funded partners
  • Document participant numbers, demonstrator usage, and qualitative outputs from workshops.Implementing partners and funded partners
  • Provide mandatory reporting to the BMAS on project progress and outcomes.Implementing partners and funded partners
  • +1 more in the table below

Must not do

0

Nothing in this category.

Should do

3
  • Design demonstrators to be tangible, low-threshold, accessible, and oriented to specific workplace tasks.Implementing partners and funded partners
  • Design workshops to address both opportunities and risks of AI in the workplace.Implementing partners and funded partners
  • Foster partnerships with regional stakeholders like chambers, trade associations, and trade unions.Implementing partners

Should not do

0

Nothing in this category.

Who must do what

The obligations under Germany - Participatory AI Labs, most serious first. Not legal advice — verify against the official text before relying on it.

#WhoRequirementBy whenWhereSeverity
1Implementing partners and funded partnersAdhere strictly to all terms of funding and procurement contracts.
“Legal obligations attach primarily to funding and procurement contracts.”
—Penalties, Liability, and AppealsCritical
2Implementing partners processing personal dataEnsure full compliance with the EU General Data Protection Regulation (GDPR).
“data protection breaches would trigger obligations under the EU General Data Protection Regulation (GDPR)”
—Penalties, Liability, and AppealsCritical
3Implementing partners and funded partnersDeliver demonstrator prototypes, workshop formats, and public events as specified.
“Deliverables include demonstrator prototypes, workshop formats, public events, documentation of outcomes and local partner networks.”
—Implementation FrameworkCritical
4Implementing partners and funded partnersIntegrate data protection, accessibility, and diversity as mandatory design principles.
“Data protection, accessibility and diversity are specified as mandatory design principles for demonstrators and formats.”
Before demonstrator/format deploymentImplementation FrameworkImportant
5Implementing partners and funded partnersDocument participant numbers, demonstrator usage, and qualitative outputs from workshops.
“The Leistungsverzeichnis requires documentation of participant numbers, demonstrator usage and qualitative outputs from workshops”
—Monitoring and EvaluationImportant
6Implementing partners and funded partnersProvide mandatory reporting to the BMAS on project progress and outcomes.
“Monitoring is delivered via mandatory reporting by funded partners and central documentation by the implementing institutions.”
—Monitoring and EvaluationImportant
7Implementing partners and participating companiesInvolve works councils and employee representatives in the design and implementation of AI applications.
“The project explicitly targets small and medium-sized enterprises and aims to involve works councils and employee representatives”
—Key Focus AreasImportant
8Implementing partners and funded partnersDesign demonstrators to be tangible, low-threshold, accessible, and oriented to specific workplace tasks.
“demonstrators should be tangible, low-threshold, accessible, and oriented to specific workplace tasks”
Before demonstrator deploymentKey Focus AreasRecommended
9Implementing partners and funded partnersDesign workshops to address both opportunities and risks of AI in the workplace.
“workshops should address both opportunities and risks/challenges (work intensification, data protection, bias).”
Before workshop deliveryKey Focus AreasRecommended
10Implementing partnersFoster partnerships with regional stakeholders like chambers, trade associations, and trade unions.
“Project governance emphasizes partnerships with regional stakeholders (chambers, trade associations, trade unions).”
—Governance and Institutional FrameworkRecommended

© Regulations.AI · updated on 20 Sep 2026