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fair.impact

The goal of the fair.impact project is to translate research on socially responsible AI into practical applications in order to develop fair AI systems and promote diversity and inclusion throughout the entire AI development process.

The project has two main focuses: First, it examines AI systems in which algorithms and data can perpetuate and exacerbate existing injustices; second, it examines the environment in which AI is developed, where a lack of diversity and unintentionally discriminatory practices lead to the creation of AI systems that fail to fully realize their potential for value creation and innovation.

As part of this research project, we have developed three AI Campus courses that teach the fundamentals and methods of socially responsible AI design and implementation in an interactive and practical manner.

Our courses on socially responsible AI design:

KI-Campus-Kurs 1: Sozialverantwortliche KI-Gestaltung

Using our framework, this course introduces the fundamentals of socially responsible AI design through practical examples and interactive exercises.

KI-Campus-Kurs: Teampraktiken für sozialverantwortliche KI-Gestaltung

AI development and implementation can only be achieved through teamwork. This course teaches team practices that support the fair and inclusive design and implementation of AI.

KI-Campus-Kurs: De-Biasing-Methoden für sozialverantwortliche KI-Gestaltung

This course explores methods for reducing bias and stereotypes in AI design and implementation that can be directly applied in a professional setting.

fair.impact – Building Expertise on Diversity and Equity at the AI Campus Hub Baden-Württemberg / Heilbronn

Project ID: H192 5128 5132 41356,
KI-Stiftung Heilbronn/Stifterverband
       
01.10.2022-30.09.2025

Team Heilbronn University


Partners

  • Technische Universität (TUM)
  • Fraunhofer IAO
  • DHBW Karlsruhe
  • DHBW Heilbronn


Sponsored by

  • Stifterverband
By adopting a diversity- and gender-inclusive approach, the AI Campus Hub in Heilbronn is helping to strengthen Baden-Württemberg as a hub for AI innovation in the long term.
Promoting women's careers in the AI ecosystem is a top priority from both an ethical and a workforce perspective. In addition, fair.impact facilitates the transfer of knowledge on non-discriminatory AI development to regional networks, not least to ensure readiness for key aspects of the European Commission’s regulation on AI systems, which is expected to take effect in 2024.

Research Approach and Contribution

In line with the goal of regionalizing AI Campus activities, the fair.impact project supports the establishment of a regional AI Campus hub in Baden-Württemberg/Heilbronn as part of the AI Innovation Park through a framework comprising three components:

AI Campus programs designed to build expertise in socially responsible AI development and diversity and gender equity in AI (working titles: “Fairness in AI Systems” and “Fairness in AI Organizations”).

Workshops featuring interactive participation by company representatives, researchers, and young AI professionals to foster networking and iterative feedback on content and formats.

Recommendations for action that are developed, presented, and discussed through an iterative reflection process, which companies can use in the context of AI to build diversity and gender competence, implement measures for cultural change, and attract and retain more female professionals.

The fair.impact project is funded by the Heilbronn AI Foundation through the Stifterverband.

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