Certifying Fairness of AI-Applications – An Impossible Task?
Whitepaper on issues surrounding the fairness of AI applications.
Whitepaper on issues surrounding the fairness of AI applications.
The use of Artificial Intelligence (AI) transfers responsibility from humans to systems, which can create (potential) risks. For many companies, however, it is difficult to evaluate and control the risks associated with the use of
AI differs significantly from standard software and thus standard software documentation guidelines are not meaningful for documenting AI. A study shows that documentation of AI is not a purely technical task. It requires the presentation of information about data sets, design decisions and on how the AI is understandably integrated into the business process.
The EU Commission recently presented the draft of the ‘Artificial Intelligence Act’ decree to regulate systems using artificial intelligence. The fundamental idea of steering AI’s evolution in the right direction and building trust in the
Berücksichtigt Ihre KI-Anwendung ausreichend gesellschaftliche Werte und erfüllt alle rechtlichen Anforderungen?
Das Business Analytics und Data Science Center der Universität Graz erforscht wie datenbasierte Technologien in der Wirtschaft eingesetzt werden können und welche gesellschaftlichen Auswirkungen diese haben. Das BANDAS Center bringt seine Expertise im Bereich Software Validierung, Auditing und Dokumentation von KI ein, wobei ethische und rechtliche Aspekte von KI besonders berücksichtig werden. Das Institute of Interactive Systems and Data Science der TU Graz deckt den Bereich “Ethics by Design” ab.