1,722 research outputs found
Researching animal research: What the humanities and social sciences can contribute to laboratory animal science and welfare
Every year around 80 million scientific procedures are carried out on animals globally. These experiments have the potential to generate new understandings of biology and clinical treatments. They also give rise to ongoing societal debate.This book demonstrates how the humanities and social sciences can contribute to understanding what is created through animal procedures - including constitutional forms of research governance, different institutional cultures of care, the professional careers of scientists and veterinarians, collaborations with patients and publics, and research animals, specially bred for experiments or surplus to requirements.Developing the idea of the animal research nexus, this book explores how connections and disconnections are made between these different elements, how these have reshaped each other historically, and how they configure the current practice and policy of UK animal research
Planetary Hinterlands:Extraction, Abandonment and Care
This open access book considers the concept of the hinterland as a crucial tool for understanding the global and planetary present as a time defined by the lasting legacies of colonialism, increasing labor precarity under late capitalist regimes, and looming climate disasters. Traditionally seen to serve a (colonial) port or market town, the hinterland here becomes a lens to attend to the times and spaces shaped and experienced across the received categories of the urban, rural, wilderness or nature. In straddling these categories, the concept of the hinterland foregrounds the human and more-than-human lively processes and forms of care that go on even in sites defined by capitalist extraction and political abandonment. Bringing together scholars from the humanities and social sciences, the book rethinks hinterland materialities, affectivities, and ecologies across places and cultural imaginations, Global North and South, urban and rural, and land and water
Multidisciplinary perspectives on Artificial Intelligence and the law
This open access book presents an interdisciplinary, multi-authored, edited collection of chapters on Artificial Intelligence (‘AI’) and the Law. AI technology has come to play a central role in the modern data economy. Through a combination of increased computing power, the growing availability of data and the advancement of algorithms, AI has now become an umbrella term for some of the most transformational technological breakthroughs of this age. The importance of AI stems from both the opportunities that it offers and the challenges that it entails. While AI applications hold the promise of economic growth and efficiency gains, they also create significant risks and uncertainty. The potential and perils of AI have thus come to dominate modern discussions of technology and ethics – and although AI was initially allowed to largely develop without guidelines or rules, few would deny that the law is set to play a fundamental role in shaping the future of AI. As the debate over AI is far from over, the need for rigorous analysis has never been greater. This book thus brings together contributors from different fields and backgrounds to explore how the law might provide answers to some of the most pressing questions raised by AI. An outcome of the Católica Research Centre for the Future of Law and its interdisciplinary working group on Law and Artificial Intelligence, it includes contributions by leading scholars in the fields of technology, ethics and the law.info:eu-repo/semantics/publishedVersio
LIPIcs, Volume 251, ITCS 2023, Complete Volume
LIPIcs, Volume 251, ITCS 2023, Complete Volum
LabelVizier: Interactive Validation and Relabeling for Technical Text Annotations
With the rapid accumulation of text data produced by data-driven techniques,
the task of extracting "data annotations"--concise, high-quality data summaries
from unstructured raw text--has become increasingly important. The recent
advances in weak supervision and crowd-sourcing techniques provide promising
solutions to efficiently create annotations (labels) for large-scale technical
text data. However, such annotations may fail in practice because of the change
in annotation requirements, application scenarios, and modeling goals, where
label validation and relabeling by domain experts are required. To approach
this issue, we present LabelVizier, a human-in-the-loop workflow that
incorporates domain knowledge and user-specific requirements to reveal
actionable insights into annotation flaws, then produce better-quality labels
for large-scale multi-label datasets. We implement our workflow as an
interactive notebook to facilitate flexible error profiling, in-depth
annotation validation for three error types, and efficient annotation
relabeling on different data scales. We evaluated the efficiency and
generalizability of our workflow with two use cases and four expert reviews.
The results indicate that LabelVizier is applicable in various application
scenarios and assist domain experts with different knowledge backgrounds to
efficiently improve technical text annotation quality.Comment: 10 pages, 5 figure
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