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292 results for “ethics”
IPBES Data Management Tutorials - Session 3.5: Data management report details: Sensitive data, anonymization, and ethical considerations
<p>The <em>IPBES data management tutorials</em> are short videos to help experts implement the IPBES data and knowledge management policy. They cover topics ranging from data and knowledge management policy, reports, active research data, tools, and examples.</p> <p>The <em>IPBES data management reports </em>chapter provides an overview and discussion of specific elements of IPBES data management reports.</p> <p>This session on <em>data management report details: Sensitive data, anonymization, and ethical considerations </em>captures specific considerations and processes for IPBES experts regarding sensitive data and Indigenous and local knowledge within data management reports. </p>
Dataset: Ethical Issues in Empirical Studies using Student Subjects: Re-visiting Practices and Perceptions
<p># Dataset for Paper "Ethical Issues in Empirical Studies using Student Subjects: Re-visiting Practices and Perceptions" - Rev 1#</p> <p>This is the dataset for the paper titled "Ethical Issues in Empirical Studies using Student Subjects: Re-visiting Practices and Perceptions". All mapping study data has the prefix *MAP*, while all survey data the prefix *SUR*. It has been updated for a major revision at Springer Empirical Software Engineering (Rev 1).</p> <p>In case of questions, feel free to contact the author, Grischa Liebel, ORCID: https://orcid.org/0000-0002-3884-815X, current affiliation and email: Reykjavik University, Iceland, grischal@ru.is</p> <p>## Systematic Mapping Study ##<br> The mapping study data is mainly contained in the *MAPmappingStudy.xlsx* file. Different tabs are used for the two phases: exclusion by title and abstract (tab *title_abs*), and exclusion by fulltext (tab *fulltextScreening*). The final set of papers is obtained by filtering the *fulltextScreening* tab by included papers (Column V).</p> <p>The tab *fulltextScreening* contains a number of columns named \*range (e.g., *noStudentsRange*). These columns contain the unified/categorised values for the verbatim values listed in the column with the same name without *range*. For instance, *noStudentsRange* contains the range of students in the primary study, while *noStudents* contains the actual number obtained from the studies.</p> <p>The file *MAPvenues.txt* contains the included venues in the mapping study.</p> <p>Finally, the raw search results are provided as BIB/RIS files with the prefix *MAPRAW*.</p> <p>## Survey ##<br> The survey folder contains the survey pages (named *surveyPageN.pdf*), as well as the raw data in *surveyDataAnon.xlsx*. Note that free-text answers have been aggregated, anonymised, and sorted alphabetically in individual tabs. Similarly, countries that only occur once have been changed to Do Not Disclose answers, and all answers have been sorted randomly. All questions are listed by their acronym. The corresponding questions, as well as possible answers, are described in the *QuestionKey* tab.</p>
A scoping review of the ethics frameworks describing issues related to the use of extended reality
<p>This is the dataset used for the scoping review of D2.1, which required an overview and assessment of relevant ethics frameworks, codes of conduct, guidelines regarding extended reality technologies. The specific objective is to map, review, and assess existing frameworks in terms of relevant foundational principles, ethical issues addressed, proposals to address these ethical issues, and the commonalities/differences identified between the documents.</p>
Story Map of the AI Ethics Lab of the Austrian Institute of Technology (AIT)
<p>The Co-Change Lab at AIT, the Austrian Institute of Technology, focuses on addressing the promises and challenges associated with research work on and the application of machine learning and artificial intelligence. An interdisciplinary team of social and data scientists is working on AI ethics.</p>
Philosphical papers reviewed and scored for their compliance with a vegan ethic 1975-2020
<p>This is the updated dataset to complement the submitted manuscript "<strong>Has the philosophical case for animal liberation been proved? A systematic and narrative review of the philosophical literature 1975-2020."</strong></p>
Data for "Meat and dairy substitutes – better for health and the environment? Impacts on nutrition and sustainability; consumer perspectives; ethical and legal considerations"
<p>Combined data reposatory for the output of the project "Meat and dairy substitutes – better for health and the environment? Impacts on nutrition and sustainability; consumer perspectives; ethical and legal considerations"</p> <p><em>Kombiniertes Datenarchiv für die Ergebnisse des Projekts "Fleisch- und Milchersatzprodukte – besser für Gesundheit und Umwelt? Auswirkungen auf Ernährung und Nachhaltigkeit, die Sicht der Konsumentinnen und Konsumenten sowie ethische und rechtliche Überlegungen"</em></p> <p>The project was funded by the Foundation for Technology Assessment (TA-Swiss) "<a href="https://ror.org/02shtak05">ror.org/02shtak05</a>".</p> <p><em>Das Projekt wurde von der Stiftung für Technologiefolgen-Abschätzung (TA-Swiss) finanziert "<a href="https://ror.org/02shtak05">ror.org/02shtak05</a>". </em></p>
Artifacts for Towards Achieving Trust Through Transparency and Ethics [RE 21]
<p>Included in this repository are the Open and Axial/Selective Coding Matrices for the Grounded Theory Methodology for "Towards Achieving Trust Through Transparency and Ethics".</p> <p>Also included are the Softgoal Interdependency graphs developed as a result of the Grounded Theory Literature Review.</p> <p>The methodology is described in the paper, and this dataset exists for anybody to review and re-use these artifacts created as a result of the methodology. </p>
Ethics of Research Funding: A survey
<p>Anonymized data set of the ethics of research funding survey. To anonymize the data, the responses to the open comment field (Q57) have been removed. The publication of these anonymized data has been approved by the ethics committee of KU Leuven.</p>
Dataset annexed to: "Testing ethical impact assessment for nano risk governance"
<p>To test the ethical impact assessment methodology guidelines and tools adapting CEN Workshop Agreement part 2 CWA 17145-2:2017 (E)) to support risk governance of nanomaterials, in the RiskGONE project (https://riskgone.eu/), feedback from stakeholders was requested. This dataset includes the responses of participants in several online meetings. The dataset is linked to the paper "Testing ethical impact assessment for nano risk governance".</p>
Ethical Perspectives in AI: A Two-folded Exploratory Study From Literature and Active Development Projects - Supplementary Material
<p>This is the Supplementary Material provided for the work accepted on HICSS 2021.</p> <p>Title of work: Ethical Perspectives in AI: A Two-folded Exploratory Study From Literature and Active Development Projects.</p> <p> </p> <p> </p> <p>This dataset depicts 589 GitHub README files explored in our article. We devised each repository into 4 categories. AI Applications (78), reference lists (486), Explainable AI tool (6), Ethical AI tool (15). Moreoveer, 4 repositories could not be found, and 181 of them had a Programming Language. In addition, we classified them according to our judgement of Interesting (82) or Great (33), regarding the objectives of our work. 75 repositories were not related to AI Ethics, and 7 of them mentioned COVID-19 in their repositories in some manner. Highlighted repositories in red pertain to categories 3 and 4, that is, tools for implementing AI Ethics, while those in yellow are marked as “Great”.</p> <p>Explainable AI tool and Ethical AI tool were added to 21 occurrences of tools for implementing AI ethics publicly available in repositories. Furthermore, it is seen that many papers open-sourced their codes on GitHub (as in https://github.com/lopusz/awesome-interpretable-machine-learning), meaning that the academic field has also made good progress in implementing ethics in AI, hence, the combined energy of both sources fosters an enhanced debate and stimulates progress towards AI ethics in practice.</p>
Planilha com artigos publicados no período de janeiro de 2000 a dezembro de 2019, no periódico Journal of Information Ethics
<p>Planilha com artigos publicados no período de janeiro de 2000 a dezembro de 2019, no periódico <em>Journal of Information Ethics (JIE) </em>a partir da base referencial <em>Library & Information Science Abstracts (LISA) </em>que abordem especificamente a temática ética da informação no campo da Ciência da Informação.</p>
Ethical Issues of Digital Knowledge in War
<p>Talk at the <a href="https://www.digital-philosophy.org/" target="_blank" rel="noopener">Philosophy [in:of:for:and] Digital Knowledge Infrastructures</a> online workshop 2023 (28/09/2023).</p>
Ethics guidelines for AI
<p>This is the dataset corresponding to the supplementary information (Table S2) published in the following article:</p> <p>Jobin, A., Ienca, M. & Vayena, E. The global landscape of AI ethics guidelines. <em>Nat Mach Intell</em> <strong>1</strong>, 389–399 (2019). https://doi.org/10.1038/s42256-019-0088-2</p> <p>You are free to use any of its data on the condition of citing this dataset: Jobin, A., Ienca, M., & Vayena, E. (2019). Ethics guidelines for AI [Data set]. <em>Zenodo/The Authors</em>. https://doi.org/10.5281/zenodo.10966287</p>
Survey on Developer and Researcher Views on the Ethics of Experiments on Open-Source Projects
<p>Results of a survey of 180 GitHub developers and 44 authors of research papers concerning the ethics of performing experiments on open source projects.</p>
AI Ethics
<p>This repository contains datasets to support our paper titled <code>The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis</code> submitted to IEEE Transactions on Artificial Intelligence.</p>
Ethics of Research Funding: pilot study dataset
<p>Anonymized data set of the pilot study for the ethics of research funding survey. To anonymize the data, the responses to question C2 (What is the main location of your professional activities) have been removed. The publication of these anonymized data has been approved by the ethics committee of KU Leuven, and was indicated clearly in the informed consent of the survey.</p>
Recording of ETAPAS 4th Dissemination Event: Tools for the ethical and trustworthy adoption of Artificial Intelligence in the service of public administrations
<p>On the 12th of October 2022 the 4th ETAPAS dissemination event "Tools for the ethical and trustworthy adoption of Artificial Intelligence in the service of public administrations" took place online and on site at the Centre for Research & Technology Hellas (CERTH).</p> <p>If you missed the workshop you can find here the recording of the event, where we presented the first outputs generated by the ETAPAS Project to Greek Public Administration in order display concrete results on how AI can be ethically embedded in their activities.</p> <p>Among the topics we discussed:</p> <ul> <li>the ETAPAS Project and key tools developed for the good governance of AI;</li> <li>the chatbot Kari and the challenges using AI-based solutions presents;</li> <li>the development of a misinformation detection platform by CERTH;</li> <li><a href="https://www.pop-ai.eu/">popAI</a> and <a href="https://token-project.eu/the-project/">TOKEN</a> projects;</li> <li>strategies for a governance framework for artificial intelligence in public administration.</li> </ul> <p>Check this recording to see all the interesting presentations and discussions that emerged during the project.</p>
Figure 2 in Value and impacts of collecting vertebrate voucher specimens, with guidelines for ethical collection
Figure 2. Decision process when considering collecting voucher specimens. Questions to consider are given in blue, with responses to each question given in black. Directions on how to proceed through the process are given in green. Further details and examples are provided in the text
Figure 1 in Value and impacts of collecting vertebrate voucher specimens, with guidelines for ethical collection
Figure 1. Geographic distribution of Museum Victoria's non-marine Victorian vertebrate specimens. Each pixel represents the number of specimens collected within a 100 km2 grid (10 x 10 km square) from the earliest georeferenced specimen (collected in 1858) to 2012, spanning 154 years. Yellow, green, light blue, and dark blue pixels represent single (1), low (2 – 10), moderate (11 – 100), and high (> 100) numbers of specimens, respectively. White pixels represent areas with no specimens. Histograms represent the number of specimens by decade.
Bottom up Ethics - Neuroenhancement in Education and Employment
<p>This is the accompanying dataset for the publication Bottom-up Ethics - Neuroenhancement in Education and Employment (https://doi.org/10.1007/s12152-018-9366-7). The data was collected during the European Commision-funded NERRI project, which sought to facilitate Europe-wide discussion about the ethical acceptability and social desirability of neuroenhancement. We conducted an online survey with over 1000 respondents from 10 European countries and the United States. The survey included two contrastive vignette experiments and 14 attitude questions, which were derived from a series of public engagement activities.</p> <p>The SPSS dataset contains 50 variables, capturing sociodemographic indicators, the experimental manipulations, the 14 attitude statements, and two scales constructed using PCA.</p> <p>Paper abstract:</p> <p>Neuroenhancement involves the use of neurotechnologies to improve cognitive, affective or behavioural functioning, where these are not judged to be clinically impaired. Questions about enhancement have become one of the key topics of neuroethics over the past decade. The current study draws on in-depth public engagement activities in ten European countries giving a bottom-up perspective on the ethics and desirability of enhancement. This informed the design of an online contrastive vignette experiment that was administered to representative samples of 1000 respondents in the ten countries and the United States. The experiment investigated how the gender of the protagonist, his or her level of performance, the efficacy of the enhancer and the mode of enhancement affected support for neuroenhancement in both educational and employment contexts. Of these, higher efficacy and lower performance were found to increase willingness to support enhancement. A series of commonly articulated claims about the individual and societal dimensions of neuroenhancement were derived from the public engagement activities. Underlying these claims, multivariate analysis identified two social values. The Societal/Protective highlights counter normative consequences and opposes the use of enhancers. The Individual/Proactionary highlights opportunities and supports use. For most respondents these values are not mutually exclusive. This suggests that for many neuroenhancement is viewed simultaneously as a source of both promise and concern.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.