Responsible AI, EU AI Act

3/2025 – 6/2025

1️⃣ Assessment Phase: AI & Access Baseline
Audit existing digital infrastructures and public service offerings.
Identify where gaps in access and information asymmetries currently exist.
Evaluate risks of exclusion (language, disability, literacy, migration background, socio-economic factors).

Deliverable: AI & Access Readiness Report

2️⃣ Strategy Development: Responsible AI Framework
Co-create with government stakeholders a Responsible AI Strategy for democratizing knowledge access.
Align strategy with EU AI Act governance requirements, fairness metrics, and inclusion benchmarks.
Define KPIs for fairness, transparency, participation, and accessibility.

Deliverable: Responsible AI Governance Framework for Public Use

It-Governance

2/2025 – 7/2025

1️⃣ Consulting a high-risk AI start-up in responsible AI strategy implementation

(This is the starting point: setting the strategic direction and ensuring alignment with regulations and ethical standards.)

2️⃣ Implement AI ethics board

(Once the strategy is clear, governance structures follow to anchor accountability and decision-making.)

3️⃣ Research ethical AI data and security strategies

(With governance in place, you can focus on specific operational areas like data handling and security, informed by current research.)

4️⃣ Build public-private sector collaborations

(Finally, with a robust internal framework, you expand outward through collaborations, shaping the ecosystem and scaling impact.)

It-Governance, Unternehmensberatung

11/2024 – 1/2025

1️⃣ Global AI Trajectories
Mapping key developments (technological, regulatory, geopolitical) shaping the future of AI.
→ Who leads? Who lags? Who benefits? Who is left out?

2️⃣ Ethical & Governance Futures
Scenarios ranging from highly regulated Responsible AI ecosystems to laissez-faire, extractive models.
→ What role will Europe play in setting global standards?

3️⃣ AI & Society: Inclusion, Access, Power
Exploring how AI might impact societal structures, participation, labor, and knowledge access.
→ How can AI contribute to a fairer distribution of resources and opportunities?

Methodology:
✔ Foresight & Scenario Planning (Shell Scenarios, Future Cone, etc.)
✔ Expert Panels & Delphi Method (AI, Ethics, Policy, Business)
✔ Workshops with Stakeholders (Governments, Industry, Civil Society)
✔ Trend Analysis & Weak Signal Identification
✔ Integration of EU AI Act & Responsible AI Frameworks

Forschung & Entwicklung, It-Governance