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Containing the Not-Invented-Here Syndrome in external knowledge absorption and open innovation: The role of indirect countermeasures
2019
Research Policy
Preserved Fulltext
To address this gap, we adopt a mixed methods research design composed of two complementary empirical studiesthe first qualitative and the second quantitative. ...
Study 2 addresses the scarcity of scholarly and managerial insights on indirect NIHS countermeasures by testing the effectiveness of perspective taking as a debiasing technique to contain negative attitudes ...
.068
−.338 Acknowledgements We would like to thank Research Policy editor Ben Martin and the three anonymous reviewers for their guidance and developmental feedback along the entire review process. ...
doi:10.1016/j.respol.2019.103822
fatcat:23k55fg54ndqdb3wufa2hpbslq
The Data-Production Dispositif
[article]
2022
arXiv
pre-print
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., generating and annotating data and evaluating outputs) through business process outsourcing (BPO) companies and crowdsourcing platforms. ...
in data and labor. ...
and Society. ...
arXiv:2205.11963v1
fatcat:e2yh32vjnjdfznki7kahutd5a4
Trustworthy AI: From Principles to Practices
[article]
2022
arXiv
pre-print
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In this framework, we offer concrete action items for practitioners and societal stakeholders (e.g., researchers, engineers, and regulators) to improve AI trustworthiness. ...
These shortcomings degrade user experience and erode people's trust in all AI systems. In this review, we provide AI practitioners with a comprehensive guide for building trustworthy AI systems. ...
We also thank Yu He, Wenhan Xu, Xinyuan Shan, Chenliang Wang, Peng Liu, Jingling Fu, Baicun Zhou, Hongbao Tian and Qili Wang for their assistance with the experiment in the appendix. ...
arXiv:2110.01167v2
fatcat:2u7hqdrfujc5lbcsmwpmxxsd74
Perturbation Augmentation for Fairer NLP
[article]
2022
arXiv
pre-print
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Unwanted and often harmful social biases are becoming ever more salient in NLP research, affecting both models and datasets. ...
In this work, we ask: does training on demographically perturbed data lead to more fair language models? ...
Sinha, Naman Goyal, Tristan Thrush, Mona Diab, Chinnadhurai Sankar, Jane Yu, Alon Halevy, Yi-Chia Wang, Olga Golovneva, Armen Aghajanyan and Qinqing Zheng. ...
arXiv:2205.12586v1
fatcat:edd3qkpzjjdhxnibmatu6mghbi
Knowledge Graphs Evolution and Preservation – A Technical Report from ISWS 2019
[article]
2020
arXiv
pre-print
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In addition, they provide their working definition for KG preservation and evolution. ...
One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is that of a: "Public FAIR ...
Acknowledgement We would like to thank everyone who contributed to the organisation of ISWS, the students who are its soul and motivating engine, and the sponsors. ...
arXiv:2012.11936v1
fatcat:frdu4fyci5f2da5atmjtanubia
Containing the Not-Invented-Here Syndrome in external knowledge absorption and open innovation : The role of indirect countermeasures
2019
Preserved Fulltext
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To address this gap, we adopt a mixed methods research design composed of two complementary empirical studiesthe first qualitative and the second quantitative. ...
Study 2 addresses the scarcity of scholarly and managerial insights on indirect NIHS countermeasures by testing the effectiveness of perspective taking as a debiasing technique to contain negative attitudes ...
Acknowledgements We would like to thank Research Policy editor Ben Martin and the three anonymous reviewers for their guidance and developmental feedback along the entire review process. ...
doi:10.18154/rwth-2019-07972
fatcat:44jcciyuf5hhjgr2d7ozxcdqiq
Longitudinal Comparison of Word Associations in Shallow Word Embeddings
2020
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In order to address this gap in prior literature, this research aims to evaluate different types of word associations, not limited to gender, racial or religious attributes, incorporating and evaluating ...
Finally, various cluster level and corpus level measurements will be compared across aforementioned word embedding frameworks, to find how word associations evolve with changes in the embedding model and ...
This framework combines global matrix factorization with local context window methods (used in Word2vec) to learn and create word embeddings. ...
doi:10.25394/pgs.12272753.v1
fatcat:kafhvk3q3bbdpmoyzy2q6mqlmm
The Roles and Modes of Human Interactions with Automated Machine Learning Systems
[article]
2022
arXiv
pre-print
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In so doing, we review topics including user-interface design, human-bias mitigation, and trust in artificial intelligence (AI). ...
As automated machine learning (AutoML) systems continue to progress in both sophistication and performance, it becomes important to understand the 'how' and 'why' of human-computer interaction (HCI) within ...
Programs are capable in speed, scalability, and quantitative computation. ...
arXiv:2205.04139v1
fatcat:kfo3oybsjvfs5gjyt2j3dbaali
Algorithmic Fairness Datasets: the Story so Far
[article]
2022
arXiv
pre-print
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In this work, we target data documentation debt by surveying over two hundred datasets employed in algorithmic fairness research, and producing standardized and searchable documentation for each of them ...
Moreover we rigorously identify the three most popular fairness datasets, namely Adult, COMPAS and German Credit, for which we compile in-depth documentation. ...
Acknowledgements The authors would like to thank the following researchers and dataset creators for the useful feedback on the data briefs: Alain Barrat, Luc Behaghel, Asia Biega, Marko Bohanec, Chris ...
arXiv:2202.01711v2
fatcat:5hf4a42pubc5vnt7tw3al4m5bq
Technical assistance in the field of risk communication
2021
EFSA Journal
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We conducted a scoping review of social research studies and official reports in relation to risk communication in the following areas: understanding and awareness of risk analysis roles and tasks, reducing ...
factors in trade-offs about risks, audience segmentation and tools, channels and mechanisms for coordinated risk communications. ...
NGO (i.e. international), local community and individualinterface and how the distinctive characteristics of the macro/micro mechanisms in each country influence and shape the form of communication on ...
doi:10.2903/j.efsa.2021.6574
pmid:33968254
pmcid:PMC8083185
fatcat:fx7qwyqv5fgepa6nr6mikvkc7m
Behavioral Finance: The Second Generation
2019
Social Science Research Network
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Recent changes in prices of local houses affect expectations about future changes in national house prices, and higher local house price volatility causes people to expect a wider distribution of national ...
"As a single woman, I often feel that financial services institutions aren't looking for my business. They want people who are preparing for kids. ...
I majored in economics and statistics in my undergraduate program and finance in my MBA program. ...
doi:10.2139/ssrn.3668963
fatcat:waqkeknib5dbvmy3pmsweel6s4
A Roadmap for Big Model
[article]
2022
arXiv
pre-print
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2022 pre-print arXiv:2203.14101v3 fatcat:m7pyxdvamfdndaipb3lew3syhyOther Versions
Researchers have achieved various outcomes in the construction of BMs and the BM application in many fields. ...
In each topic, we summarize clearly the current studies and propose some future research directions. At the end of this paper, we conclude the further development of BMs in a more general view. ...
However, such inprocessing schemes are still far from debiasing. It is interesting to investigate the combinations of debiasing on both datasets and models in the future. ...
arXiv:2203.14101v4
fatcat:rdikzudoezak5b36cf6hhne5u4
Choice Architecture for Human-Computer Interaction
2013
Foundations and Trends® in Human–Computer Interaction
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The work also benefited from Anthony Jameson's involvement in the EIT ICT Labs activities Apps for Your Car (2013) and 3cixty (2014) and in the FP7 EU project Glocal (Event-based Retrieval of Networked ...
100048) and Data Mining for Privacy in Social Networks (grant number G068611N), respectively. ...
, by contributing to a crowdsourced road traffic database. ...
doi:10.1561/1100000028
fatcat:lvlf62r74jfkjowqoao33tfhia
Deep Reinforcement Learning
[article]
2018
arXiv
pre-print
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We discuss six core elements, six important mechanisms, and twelve applications, focusing on contemporary work, and in historical contexts. ...
We discuss deep reinforcement learning in an overview style. We draw a big picture, filled with details. ...
Lanctot et al. (2017) observe that independent RL, in which each agent learns by interacting with the environment, oblivious to other agents, can overfit the learned policies to other agents' policies ...
arXiv:1810.06339v1
fatcat:kp7atz5pdbeqta352e6b3nmuhy
Algorithmic Fairness Datasets: the Story so Far
[article]
2022
Preserved Fulltext
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The file type is application/pdf.
In this work, we survey over two hundred datasets employed in algorithmic fairness research, producing standardized and searchable documentation for each of them, along with in-depth documentation for ...
Data-driven algorithms are being studied and deployed in diverse domains to support critical decisions, directly impacting on people's well-being. ...
Acknowledgements The authors would like to thank the following researchers and dataset creators for the useful feedback on the data briefs: Alain Barrat, Luc ...
doi:10.48550/arxiv.2202.01711
fatcat:mav36x3w5namjhurzpevtsmsju
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