Thinking Through and Writing About Research Ethics Beyond "Broader
Impact"
- URL: http://arxiv.org/abs/2104.08205v1
- Date: Fri, 16 Apr 2021 16:24:05 GMT
- Title: Thinking Through and Writing About Research Ethics Beyond "Broader
Impact"
- Authors: Kate Sim, Andrew Brown, Amelia Hassoun
- Abstract summary: In March 2021, we held the first instalment of the tutorial on thinking through and writing about research ethics beyond 'Broader Impact'
The goal of this tutorial was to offer a conceptual and practical starting point for engineers and social scientists interested in thinking more expansively.
This report provides an outline of the tutorial, and contains our 'lifecourse checklist'
- Score: 1.505509197162783
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: In March 2021, we held the first instalment of the tutorial on thinking
through and writing about research ethics beyond 'Broader Impact' in
conjunction with the ACM Conference on Fairness, Accountability, and
Transparency (FAccT '21). The goal of this tutorial was to offer a conceptual
and practical starting point for engineers and social scientists interested in
thinking more expansively, holistically, and critically about research ethics.
This report provides an outline of the tutorial, and contains our 'lifecourse
checklist'. This was presented as part of the tutorial, and provides a
practical starting point for researchers when thinking about research ethics
before a project's start. We provide this to the research community, with the
hope that researchers use it when considering the ethics of their research.
Related papers
- Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation [58.064940977804596]
A plethora of new AI models and tools has been proposed, promising to empower researchers and academics worldwide to conduct their research more effectively and efficiently.
Ethical concerns regarding shortcomings of these tools and potential for misuse take a particularly prominent place in our discussion.
arXiv Detail & Related papers (2025-02-07T18:26:45Z) - The Only Way is Ethics: A Guide to Ethical Research with Large Language Models [53.316174782223115]
'LLM Ethics Whitepaper' is an open resource for NLP practitioners and those tasked with evaluating the ethical implications of others' work.
Our goal is to translate ethics literature into concrete recommendations and provocations for thinking with clear first steps.
'LLM Ethics Whitepaper' distils a thorough literature review into clear Do's and Don'ts, which we present also in this paper.
arXiv Detail & Related papers (2024-12-20T16:14:43Z) - Ethics Whitepaper: Whitepaper on Ethical Research into Large Language Models [53.316174782223115]
This whitepaper offers an overview of the ethical considerations surrounding research into or with large language models (LLMs)
As LLMs become more integrated into widely used applications, their societal impact increases, bringing important ethical questions to the forefront.
arXiv Detail & Related papers (2024-10-17T18:36:02Z) - Responsible AI Considerations in Text Summarization Research: A Review
of Current Practices [89.85174013619883]
We focus on text summarization, a common NLP task largely overlooked by the responsible AI community.
We conduct a multi-round qualitative analysis of 333 summarization papers from the ACL Anthology published between 2020-2022.
We focus on how, which, and when responsible AI issues are covered, which relevant stakeholders are considered, and mismatches between stated and realized research goals.
arXiv Detail & Related papers (2023-11-18T15:35:36Z) - Report of the 1st Workshop on Generative AI and Law [78.62063815165968]
This report presents the takeaways of the inaugural Workshop on Generative AI and Law (GenLaw)
A cross-disciplinary group of practitioners and scholars from computer science and law convened to discuss the technical, doctrinal, and policy challenges presented by law for Generative AI.
arXiv Detail & Related papers (2023-11-11T04:13:37Z) - The Time Traveler's Guide to Semantic Web Research: Analyzing Fictitious
Research Themes in the ESWC "Next 20 Years" Track [2.211868306499727]
We asked the community what will Semantic Web research focus on in 20 years from now.
We collected their visions in the "Next 20 years" track of ESWC 2023.
We received ten submissions, eight of which were accepted for presentation at the conference.
arXiv Detail & Related papers (2023-09-25T08:20:06Z) - Science in the Era of ChatGPT, Large Language Models and Generative AI:
Challenges for Research Ethics and How to Respond [3.3504365823045044]
This paper reviews challenges, ethical and integrity risks in science conduct in the advent of generative AI.
The role of AI language models as a research instrument and subject is scrutinized along with ethical implications for scientists, participants and reviewers.
arXiv Detail & Related papers (2023-05-24T16:23:46Z) - "This Applies to the RealWorld": Student Perspectives on Integrating
Ethics into a Computer Science Assignment [14.273946017136643]
There is a growing movement in undergraduate computer science (CS) programs to embed ethics across classes.
One strategy is creating assignments that encourage students to reflect on ethical issues inherent to the code they write.
We present a case study describing our process of designing an ethics-based assignment and proposing the assignment to students for feedback.
arXiv Detail & Related papers (2023-01-20T15:19:02Z) - Ethics of Open Data [0.0]
This chapter addresses emergent ethical issues in producing, using, curating, and providing services for open data.
We begin with a brief overview of what can be thought of as three basic theories of ethics that intersect with dilemmas in openness, accountability, transparency, and fairness in data.
arXiv Detail & Related papers (2022-05-20T18:44:00Z) - Case Study: Deontological Ethics in NLP [119.53038547411062]
We study one ethical theory, namely deontological ethics, from the perspective of NLP.
In particular, we focus on the generalization principle and the respect for autonomy through informed consent.
We provide four case studies to demonstrate how these principles can be used with NLP systems.
arXiv Detail & Related papers (2020-10-09T16:04:51Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.