Important because many studies on #algorithmicfairness only use one general fairness item or adapt measures from procedural fairness without considering issues like #groupdiscrimination. Our multidimensional measure addresses this problem; you can also use just one subscale depending on your RQ
New publication: Our lab member Nico Ehrhardt developed a measure for perceived #fairness in AI decisions ⚖️
Read more about the AIM-FAIR Scale: link.springer.com/article/10.1...
#AIdecisionmaking #transparency #AI&society #algorithms #groupbias
Read more about the AIM-FAIR Scale: link.springer.com/article/10.1...
#AIdecisionmaking #transparency #AI&society #algorithms #groupbias
Navigating fairness: introducing the multidimensional AIM-FAIR scale for evaluating AI decision-making - AI & SOCIETY
People’s concerns regarding the fairness of algorithmic decision-making, coupled with its expanding utilization across various spheres of our lives underscores the need for robust measures to assess p...
link.springer.com
April 30, 2025 at 1:51 PM
Important because many studies on #algorithmicfairness only use one general fairness item or adapt measures from procedural fairness without considering issues like #groupdiscrimination. Our multidimensional measure addresses this problem; you can also use just one subscale depending on your RQ