Improving Trust in AI Through Sustainable and Trustworthy Reporting
This extended abstract outlines STREP, our (S)ustainable and (T)rustworthy (REP)orting framework. It communicates performance indicators of systems that build on artificial intelligence and thus makes them more trustworthy.
- Veröffentlicht in:
DataNinja sAIOnARA 2024 Conference - Typ:
Inproceedings - Autoren:
- Jahr:
2024 - Source:
https://biecoll.ub.uni-bielefeld.de/index.php/dataninja/article/view/1171
Informationen zur Zitierung
: Improving Trust in AI Through Sustainable and Trustworthy Reporting, DataNinja sAIOnARA 2024 Conference, 2024, https://biecoll.ub.uni-bielefeld.de/index.php/dataninja/article/view/1171, Fischer.Bunse.2024a,
@Inproceedings{Fischer.Bunse.2024a,
author={Fischer, Raphael; Bunse, Mirko},
title={Improving Trust in AI Through Sustainable and Trustworthy Reporting},
booktitle={DataNinja sAIOnARA 2024 Conference},
url={https://biecoll.ub.uni-bielefeld.de/index.php/dataninja/article/view/1171},
year={2024},
abstract={This extended abstract outlines STREP, our (S)ustainable and (T)rustworthy (REP)orting framework. It communicates performance indicators of systems that build on artificial intelligence and thus makes them more...}}
