Responsible AI for Value Creation

Projektdetaljer

Beskrivelse

The REPAI – Responsible AI for Value Creation project is dedicated to positioning Denmark at the global fore front of responsible and impactful AI development. The project focuses on producing world-class interdisciplinary research with tangible, practical benefits. By examining real-world use cases, we aim to offer new insights, foster a shared interdisciplinary language, and propose necessary updates to existing AI legislation. Our goal is to assist private companies and public organizations in building trusted, ethical, and compliant AI solutions. Additionally, we are committed to advancing interdisciplinary collaboration, benefiting the next generation of researchers, and through this influencing our students who will propagate our findings and values into society.

Our Approach
True interdisciplinary collaboration hinges on three key principles:
1. Collective Work on Real-World Cases: Researchers from diverse fields work together on practical, real-world problems, rather than speculative scenarios.
2. Physical Proximity: Researchers sit together, facilitating seamless knowledge exchange and viewpoint sharing.
3. Iterative Learning: An ongoing, adaptive process that builds a shared understanding and language across disciplines.
Our iterative approach is divided into three phases, each focusing on a specific AI technology:
1. Predictive AI: This phase deals with profiling and the ability to predict or categorize individuals and their actions.
2. AI Decision Making: Here, the focus shifts to AI that assists in making decisions.
3. Autonomous AI: Finally, we examine scenarios where AI technology can replace human roles.
Each phase explores technical, ethical, and governance dimensions, grounded in real-world use cases with stakeholder involvement to ensure value creation.

Real-World Impact
Our initial use cases include:
• Video Surveillance in collaboration with Milestone Systems.
• Predictive AI in Eldercare in partnership with Aalborg Municipality.
These use cases are chosen for their potential to create value, intersect with regulations and public opinion, making them ideal for our interdisciplinary approach.
Long-Term Impact
REPAI aims to shape the future of AI in several impactful ways:
• Value Creation: Enhancing the capabilities of private and public sectors in developing regulatory-compliant AI, positioning Denmark as a leader in responsible AI.
• Policy Influence: Assisting policymakers in Denmark and the EU in refining AI regulations to balance business needs, ethical considerations, and public trust.
• Education: Inspiring and educating the next generation of AI researchers and developers to focus on responsible AI solutions rooted in interdisciplinary research.

Agile and Adaptive
Given the rapid evolution of AI, our center operates with agility, organized into eight six-month periods. Each period’s specifics are defined at the end of the previous one and approved by our steering committee, ensuring that we remain responsive and relevant to the fast-moving field of AI.
Kort titelREPAI
AkronymREPAI
StatusIgangværende
Effektiv start/slut dato01/09/202331/08/2027

Samarbejdspartnere

  • University of Copenhagen
  • Aarhus University

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