On the Ethical Limits of Natural Language Processing on Legal Text (2021.findings-acl)
Copied to clipboard
| Challenge: | Legal NLP holds the promise of improving access to justice and offers tools for empirical analysis of law on a large scale. |
| Approach: | They propose ways to think systematically about ethical limits of NLP . they place emphasis on three crucial normative parameters that have been underestimated . |
| Outcome: | The proposed methods are based on a real-life scenario that has prompted debate in the legal NLP community. |
Similar Papers
On the Machine Learning of Ethical Judgments from Natural Language (2022.naacl-main)
Copied to clipboard
| Challenge: | a recent study examines the morality of NLP models that can take in arbitrary text and output a moral judgment . a Delphi project is a popular system for moral prediction, but it has received criticism . |
| Approach: | They propose to critique NLP methods for automating ethical decision-making . they examine a nascent task of predicting moral and ethical decisions from text . |
| Outcome: | The proposed model is unsafe at any accuracy, the authors argue . they argue that the proposed model could be useful in NLP, but not in AI. |
Values, Ethics, Morals? On the Use of Moral Concepts in NLP Research (2023.findings-emnlp)
Copied to clipboard
| Challenge: | Recent studies have focused on the ethical aspects of NLP, but little to no discussion of the terminology and theories underpinning those efforts and their implications. |
| Approach: | They propose to provide an overview of some important ethical concepts stemming from philosophy and to survey the existing literature on moral NLP w.r.t. their findings show that most papers neither provide a clear definition of the terms they use nor adhere to definitions from philosophy. |
| Outcome: | The findings show that most papers neither provide a clear definition of the terms they use nor adhere to definitions from philosophy. |
Case Study: Deontological Ethics in NLP (2021.naacl-main)
Copied to clipboard
| Challenge: | Recent work in natural language processing (NLP) has focused on ethical challenges . ethical foundations of NLP systems have not been explored . |
| Approach: | They propose to use deontological ethics to analyze ethical issues in natural language processing from the perspective of NLP. |
| Outcome: | The proposed ethical frameworks are based on the generalization principle and respect for autonomy through informed consent. |
A Legal Perspective on Training Models for Natural Language Processing (L18-1)
Copied to clipboard
| Challenge: | a significant concern in processing natural language data is the unclear legal status of the input and output data/resources. |
| Approach: | They examine which legal rules apply at relevant steps and how they affect the legal status of the results. |
| Outcome: | The proposed model training process is based on three scenarios . the analysis focuses on which legal rules apply and how they affect the legal status of the results . |
Use of Formal Ethical Reviews in NLP Literature: Historical Trends and Current Practices (2021.findings-acl)
Copied to clipboard
| Challenge: | Ethical aspects of research in language technologies have received much attention recently . do we observe a rise in formal ethical reviews of NLP studies? |
| Approach: | They conduct a qualitative and quantitative analysis of the ethics of NLP research . they compare the ethical reviews of NLAs to those of related disciplines . |
| Outcome: | The results compare the ACL Anthology to other related disciplines in the field . the results show that there is a heightened awareness of ethical issues that was previously lacking . |
Socially Responsible NLP (N18-6)
Copied to clipboard
| Challenge: | This tutorial will provide an overview of ethical research tools and ethical implications of language technologies. |
| Approach: | This tutorial will provide an overview of ethical research and practical examples . it will discuss ethical tools to ensure data, algorithms, and models are socially responsible . |
| Outcome: | This tutorial will provide an overview of ethical research tools and methods . it will discuss philosophical foundations of ethical work along with state of the art techniques . |
Modeling the Sacred: Considerations when Using Religious Texts in Natural Language Processing (2024.findings-naacl)
Copied to clipboard
| Challenge: | This paper concerns the use of religious texts in natural language processing (NLP) religious texts are expressions of culturally important values, and machine learning models reproduce cultural values encoded in training data. |
| Approach: | They argue that NLP's use of religious texts raises considerations beyond model biases . authors argue that religious texts are culturally important and are often used by researchers . |
| Outcome: | The proposed method repurposes translations from their original uses and motivations, and raises considerations beyond model biases. |
Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis? (2020.acl-main)
Copied to clipboard
| Challenge: | a paper on automatic sentencing was a source of debate at EMNLP 2019 . paper examines whether particular datasets and tasks should be off-limits for NLP research . |
| Approach: | They propose a neural model which performs structured prediction of individual charges laid against an individual and the prison term associated with each. |
| Outcome: | The proposed model can predict the prison term associated with a given case on a large-scale dataset of real-world Chinese court cases. |
The Law and NLP: Bridging Disciplinary Disconnects (2023.findings-emnlp)
Copied to clipboard
| Challenge: | Legal practitioners and scholars have been slow to adopt tools from natural language processing (NLP) the legal system is experiencing an access to justice crisis, which could be partially alleviated with NLP. |
| Approach: | They argue that legal practitioners are slow to adopt natural language processing (NLP) they argue that there is a disconnect between legal needs and NLP research . |
| Outcome: | The proposed tasks bridge disciplinary disconnects and highlight interesting areas for legal NLP research that remain underexplored. |
Regulation and NLP (RegNLP): Taming Large Language Models (2023.emnlp-main)
Copied to clipboard
| Challenge: | polarization in AI safety and ethics debates are swaying political agendas on AI regulation and governance . regulation studies are rich source of knowledge on how to systematically deal with risk and uncertainty . |
| Approach: | They argue that NLP research can benefit from proximity to regulatory studies . they argue that regulation studies should focus on linking scientific knowledge to regulatory processes . |
| Outcome: | The proposed research space should focus on linking scientific knowledge to regulatory processes based on systematic methodologies. |