@InProceedings{leidner-plachouras:2017:EthNLP,
  author    = {Leidner, Jochen L.  and  Plachouras, Vassilis},
  title     = {Ethical by Design: Ethics Best Practices for Natural Language Processing},
  booktitle = {Proceedings of the First ACL Workshop on Ethics in Natural Language Processing},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {30--40},
  abstract  = {Natural language processing (NLP) systems analyze and/or generate human
	language, typically on users’ behalf. One natural and necessary question that
	needs to be addressed in this context, both in research projects and in
	production settings, is the question how ethical the work is, both regarding
	the process and its outcome.
	    Towards this end, we articulate a set of issues, propose a set of best
	practices, notably a process featuring an ethics review board, and sketch and
	how they could be meaningfully applied. Our main argument is that ethical
	outcomes ought to be achieved by design, i.e. by following a process aligned
	by ethical values. We also offer some response options for those facing ethics
	issues.
	    While a number of previous works exist that discuss ethical issues, in
	particular around big data and machine learning, to the authors’ knowledge
	this is the first account of NLP and ethics from the perspective of a
	principled process.},
  url       = {http://www.aclweb.org/anthology/W17-1604}
}