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Containing the Not-Invented-Here Syndrome in external knowledge absorption and open innovation: The role of indirect countermeasures

Julian Hannen, David Antons, Frank Piller, Torsten Oliver Salge, Tim Coltman, Timothy M. Devinney
2019 Research Policy  
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]

Milagros Miceli, Julian Posada
2022 arXiv   pre-print
., 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]

Bo Li, Peng Qi, Bo Liu, Shuai Di, Jingen Liu, Jiquan Pei, Jinfeng Yi, Bowen Zhou
2022 arXiv   pre-print
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]

Rebecca Qian, Candace Ross, Jude Fernandes, Eric Smith, Douwe Kiela, Adina Williams
2022 arXiv   pre-print
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]

Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam, Francesca Alloatti, Glenda Amaral, Claudia d'Amato, Luigi Asprino, Martin Beno, Felix Bensmann, Russa Biswas, Ling Cai, Riley Capshaw (+62 others)
2020 arXiv   pre-print
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

Julian Hannen, David Antons, Frank Piller, Torsten Oliver Salge, Tim Coltman, Timothy M. Devinney
2019
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

Geetanjali Bihani
2020
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]

Thanh Tung Khuat, David Jacob Kedziora, Bogdan Gabrys
2022 arXiv   pre-print
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]

Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto
2022 arXiv   pre-print
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

European Food Safety Authority (EFSA), Laura Maxim, Mario Mazzocchi, Stephan Van den Broucke, Fabiana Zollo, Tobin Robinson, Claire Rogers, Domagoj Vrbos, Giorgia Zamariola, Anthony Smith
2021 EFSA Journal  
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

Meir Statman
2019 Social Science Research Network  
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]

Sha Yuan, Hanyu Zhao, Shuai Zhao, Jiahong Leng, Yangxiao Liang, Xiaozhi Wang, Jifan Yu, Xin Lv, Zhou Shao, Jiaao He, Yankai Lin, Xu Han (+88 others)
2022 arXiv   pre-print
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

Anthony Jameson
2013 Foundations and Trends® in Human–Computer Interaction  
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]

Yuxi Li
2018 arXiv   pre-print
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]

Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto
2022
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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