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.
- Published in:
DataNinja sAIOnARA 2024 Conference - Type:
Inproceedings - Authors:
Fischer, Raphael; Bunse, Mirko - Year:
2024 - Source:
https://biecoll.ub.uni-bielefeld.de/index.php/dataninja/article/view/1171
Citation information
Fischer, Raphael; Bunse, Mirko: 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...}}
