Quotation Baroglio, Cristina, Boissier, Olivier, Polleres, Axel. 2018. Editorial Special Issue: Computational Ethics and Accountability . ACM Transactions on Internet Technology, 18 (4),




Computational Ethics and Accountability are becoming topics of increasing societal impact; in particular, on the one hand, in the context of recent advances in AI and machine-learning techniques, people and organizations accept decisions made for them by machines, be they buy-sell decisions, pre-filtering of applications, deciding which content users are presented, which personal data are shared and used by third parties, up to automated driving. In each of these application scenarios, where algorithms and machines support or even replace human decisions, ethical issues may arise. In the present special issue we take the stance on whether Intelligent Systems and AI themselves can help to enable accountability and transparency, thus, act as technologies to enable rather than endanger ethically compliant, accountable, and eventually sustainable computing. Multi-agent systems, Semantic Web and Agreement Technologies, and Value-Sensitive Design are just some of the research areas whose methods and results can fruitfully support business ethics and social responsibility. In this special issue, you will find a collection of articles that aim to make computational advances by approaching these challenges from different angles.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal ACM Transactions on Internet Technology
Citation Index SCI
Language English
Title Editorial Special Issue: Computational Ethics and Accountability
Volume 18
Number 4
Year 2018
URL https://dl.acm.org/citation.cfm?id=3195835
DOI http://dx.doi.org/10.1145/3195835
Open Access N


ADEQUATe: Analytics & Data Enrichment to improve the QUAliTy of Open Data
Polleres, Axel (Details)
Baroglio, Cristina (University of Torino, Italy)
Boissier, Olivier ( École des Mines de Saint-Étienne, France)
Institute for Data, Process and Knowledge Management (AE Polleres) (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1103 Analysis (Details)
1109 Information and data processing (Details)
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