Ethical by Design: Ethics Best Practices for Natural Language Processing
@inproceedings{Leidner2017EthicalBD, title={Ethical by Design: Ethics Best Practices for Natural Language Processing}, author={Jochen L. Leidner and Vassilis Plachouras}, booktitle={EthNLP@EACL}, year={2017} }
Natural Language Processing (NLP) systems analyze and/or generate human language, typically on users’ behalf. [] Key Result 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.
48 Citations
Case Study: Deontological Ethics in NLP
- Computer ScienceNAACL
- 2021
This work studies one ethical theory, namely deontological ethics, from the perspective of NLP, and focuses on the generalization principle and the respect for autonomy through informed consent.
Use of Formal Ethical Reviews in NLP Literature: Historical Trends and Current Practices
- PsychologyFINDINGS
- 2021
A detailed quantitative and qualitative analysis of the ACL Anthology is conducted, as well as comparing the trends in the field to those of other related disciplines, such as cognitive science, machine learning, data mining, and systems.
A Comprehensive Review of Ethical Frameworks in Natural Language Processing
- Computer Science
- 2019
It is concluded that the vast majority of literatures appear to employ Consequentialist frameworks that are primarily concerned with providing an ideal environment in which NLP can progress.
A Crash Course on Ethics for Natural Language Processing
- EducationTEACHINGNLP
- 2021
This work presents ready-made teaching material in the form of slides and practical exercises on ethical issues in NLP, which is primarily intended to be integrated into introductory NLP or computational linguistics courses.
Ethics consideration sections in natural language processing papers
- MedicineEMNLP
- 2022
In this paper, we present the results of a manual classification of all ethical consideration sections for ACL 2021. We also compare how many papers had an ethics consideration section per track and…
Say the Right Thing Right: Ethics Issues in Natural Language Generation Systems
- Computer ScienceEthNLP@EACL
- 2017
The ethical implications of Natural Language Generation systems are discussed, and an ethics checklist is provided in the hope that future system designers may benefit from conducting their own ethics reviews.
Ethical Issues in Language Resources and Language Technology – Tentative Categorisation
- LinguisticsLREC
- 2022
Ethical issues in Language Resources and Language Technology are often invoked, but rarely discussed. This is at least partly because little work has been done to systematize ethical issues and…
Understanding Ethics in NLP Authoring and Reviewing
- PsychologyEACL
- 2023
With NLP research now quickly being transferred into real-world applications, it is important to be aware of and think through the consequences of our scientific investigation. Such ethical…
Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing
- BusinessNAACL
- 2021
It is found that the Final Rule, the common ethical framework used by researchers, did not anticipate the use of online crowdsourcing platforms for data collection, resulting in gaps between the spirit and practice of human-subjects ethics in NLP research.
How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact
- Computer ScienceFINDINGS
- 2021
This work lays the foundations via the moral philosophy definition of social good, proposes a framework to evaluate the direct and indirect real-world impact of NLP tasks, and adopts the methodology of global priorities research to identify priority causes for NLP research.
53 References
Yes, We Care! Results of the Ethics and Natural Language Processing Surveys
- PhilosophyLREC
- 2016
We present here the context and results of two surveys (a French one and an international one) concerning Ethics and NLP, which we designed and conducted between June and September 2015. These…
The Social Impact of Natural Language Processing
- Computer ScienceACL
- 2016
A number of social implications of NLP are identified and discussed and their ethical significance, as well as ways to address them are discussed.
Say the Right Thing Right: Ethics Issues in Natural Language Generation Systems
- Computer ScienceEthNLP@EACL
- 2017
The ethical implications of Natural Language Generation systems are discussed, and an ethics checklist is provided in the hope that future system designers may benefit from conducting their own ethics reviews.
Ethics of Big Data: Balancing Risk and Innovation
- Computer Science
- 2012
TheEthics of Big Data author Kord Davis addresses how to balance the benefits of big data innovation with the risk of harm from unintended consequences.
Last Words: Amazon Mechanical Turk: Gold Mine or Coal Mine?
- GeologyCL
- 2011
To define precisely what MTurk is and what it is not, it is hoped that this will point out opportunities for the community to deliberately value ethics above cost savings.
Close Engagements with Artificial Companions: Key Social, Psychological, Ethical and Design Issues
- Computer Science
- 2010
This paper summarizes discussions at the multidisciplinary forum held at the University of Oxford on 26 October 2007 entitled Artificial Companions in Society: Perspectives on the Present and Future,…
Big Data, Big Problems: Emerging Issues in the Ethics of Data Science and Journalism
- Business
- 2014
As big data techniques become widespread in journalism, both as the subject of reporting and as newsgathering tools, the ethics of data science must inform and be informed by media ethics. This…
Computer and Information Ethics
- Computer Science
- 1997
This book provides a rigorous but accessible discussion of some of the major ethical issues concerning computers and information technology, along with less frequently raised topics, such as ethical worries about image manipulation, virtual reality, and the moral status of "intelligent" machines and expert systems.
Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health
- SociologyTACL
- 2016
A large-scale, quantitative study on the discourse of text-message-based counseling conversations is presented and a set of novel computational discourse analysis methods to measure how various linguistic aspects of conversations are correlated with conversation outcomes are developed.