Towards a Framework Combining Machine Ethics and Machine Explainability

Autor: Kevin Baum, Holger Hermanns, Timo Speith

Publikováno v: Electronic Proceedings in Theoretical Computer Science, Vol 286, Iss Proc. CREST 2018, Pp 34-49 (2019)

We find ourselves surrounded by a rapidly increasing number of autonomous and semi-autonomous systems. Two grand challenges arise from this development: Machine Ethics and Machine Explainability. Machine Ethics, on the one hand, is concerned with beh

Externí odkaz: https://doaj.org/article/7c05853082214548a3a96dca608962a9

From responsibility to reason-giving explainable artificial intelligence

Autor: Kevin Baum, Susanne Mantel, Eva Schmidt, Timo Speith

We argue that explainable artificial intelligence (XAI), specifically reason-giving XAI, often constitutes the most suitable way of ensuring that someone can properly be held responsible for decisions that are based on the outputs of artificial intel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cea26f5ee3b8715ae117984959bd1bb8

Explainable software systems: from requirements analysis to system evaluation

Autor: Larissa Chazette, Wasja Brunotte, Timo Speith

Publikováno v: Requirements engineering : requirements engineering provides a focus for the dissemination of new results about the elicitation, representation and validation of requirements of software intensive systems and applications 27 (2022), Nr. 4
Requirements engineering : requirements engineering provides a focus for the dissemination of new results about the elicitation, representation and validation of requirements of software intensive systems and applications

The growing complexity of software systems and the influence of software-supported decisions in our society sparked the need for software that is transparent, accountable, and trustworthy. Explainability has been identified as a means to achieve thes

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bef379030484a680a476107301c6c47

Exploring Explainability: A Definition, a Model, and a Knowledge Catalogue

Autor: Larissa Chazette, Timo Speith, Wasja Brunotte

Publikováno v: RE

The growing complexity of software systems and the influence of software-supported decisions in our society awoke the need for software that is transparent, accountable, and trustworthy. Explainability has been identified as a means to achieve these

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66d91c952c6cda5a3d55a33c5dbdb945
http://arxiv.org/abs/2108.03012

Spare me the details: How the type of information about automated interviews influences applicant reactions

Autor: Viviane Hähne, Timo Speith, Cornelius J. König, Markus Langer, Kevin Baum, Daniel Oster

Applicants seem to react negatively to artificial intelligence-based automated systems in personnel selection. This study investigates the impact of different pieces of information to alleviate applicant reactions in an automated interview setting. I

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a215d640d65c5cb72ba555ff3fd9dba
https://hdl.handle.net/10419/240946