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Artificial Intelligence and Law

ANTONIO A. MARTINO
1994 International Journal of Law and Information Technology  
Evaluation of information retrieval for E-discovery, Artificial Intelligence and Law, December 22 (2010). 4 The Sedona Commentary on Achieving Quality in E-Discovery, May 2009. Principle 3.  ...  for e-discovery.  ...  Also "sampling" is frequently mentioned in the literature, at conferences and in various forms of online content 3 as a key tool for validating results of collection, search, document review and other  ... 
doi:10.1093/ijlit/2.2.154 fatcat:ff7kwvvn3vcbblhlkf63oqntyu

Artificial Intelligence and the Law

Charlotte Walker-Osborn, Christopher Chan
2017 ITNOW  
Evaluation of information retrieval for E-discovery, Artificial Intelligence and Law, December 22 (2010). 4 The Sedona Commentary on Achieving Quality in E-Discovery, May 2009. Principle 3.  ...  for e-discovery.  ...  Also "sampling" is frequently mentioned in the literature, at conferences and in various forms of online content 3 as a key tool for validating results of collection, search, document review and other  ... 
doi:10.1093/itnow/bwx017 fatcat:62ezubai3fcwlpie35xjq3iyem

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias [article]

Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John Richards, Diptikalyan Saha (+4 others)
2018 arXiv   pre-print
The package includes a comprehensive set of fairness metrics for datasets and models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.  ...  and evaluate algorithms.  ...  and false discovery rate ratio.  ... 
arXiv:1810.01943v1 fatcat:5f2ud4crbfhnrld2qfqj6ihpqa

Empirical evaluations of active learning strategies in legal document review

Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
2017 2017 IEEE International Conference on Big Data (Big Data)  
One type of machine learning, text classification, is now regularly applied in the legal matters involving voluminous document populations because it can reduce the time and expense associated with the  ...  documents are left for review.  ...  The predictive modeling objective for Data Sets A, B, and C was to identify Responsive documents. The modeling objective for Data Sets D and E was to identify Privileged documents.  ... 
doi:10.1109/bigdata.2017.8258076 dblp:conf/bigdataconf/ChhatwalHKZZ17 fatcat:3vmjeqsg7rgm5lhxj6yi5khoxq

An AID for Avoiding Inadvertent Disclosure

Jyothi K. Vinjumur, Douglas W. Oard, Amittai Axelrod
2016 Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval - CHIIR '16  
Results are reported for a within-subjects study in which six reviewers with different levels of expertise examined email for attorney-client privilege or any other valid basis for withholding the content  ...  This paper describes the design of an interactive system to support privilege review in which the goals are to improve the speed and accuracy of privilege review.  ...  Figure 7 shows the privilege review effectiveness of S1, E1, E2, and I1 for the Baseline and AID conditions, evaluated as if the judgments by S1 were the ground truth.  ... 
doi:10.1145/2854946.2854964 dblp:conf/chiir/VinjumurOA16 fatcat:pkubcynvnvfjznvm2bzv6mmyaa

On the Adequacy of Expert Teachers: From Practical Convenience to Psychological Reality

Sima Caspari-Sadeghi, Johannes Konig
2018 International Journal of Higher Education  
It is argued our limitations in educational knowledge could be partly attributed to such poor conceptualizations, imprecise operationalization, and 'reductive bias 'of researchers.  ...  Section A identified the preferred terms and metaphors to describe teachers at different expertise levels.  ...  For example, Novice and Preservice were treated as two different samples and contrasted in terms of their performance.  ... 
doi:10.5430/ijhe.v7n5p1 fatcat:5n3kthovqjenpahy7dyacogpme

Inside the Mind of a Medicinal Chemist: The Role of Human Bias in Compound Prioritization during Drug Discovery

Peter S. Kutchukian, Nadya Y. Vasilyeva, Jordan Xu, Mika K. Lindvall, Michael P. Dillon, Meir Glick, John D. Coley, Natasja Brooijmans, Qianjun Li
2012 PLoS ONE  
Medicinal chemists' "intuition" is critical for success in modern drug discovery.  ...  Early in the discovery process, chemists select a subset of compounds for further research, often from many viable candidates.  ...  Acknowledgments The authors wish to thank Lawrence Barsalou, John Davies, Kurt Gray, Eugen Lounkine, Paula Petrone, Ned Sahin, Barry Toure, and Shane Tutwiler for stimulating conversations, and the Novartis  ... 
doi:10.1371/journal.pone.0048476 pmid:23185259 pmcid:PMC3504051 fatcat:43rwe6izfnf6viicgr2bd462ny

Business-to-Business E-Marketplaces: A Strategic Archetypes Approach

Christina Soh, M. Lynne Markus
2002 International Conference on Information Systems  
for practice.  ...  The strategic archetypes approach has the empirical fidelity associated with the large numbers of attributes considered in the empirical classification approach, but the parsimony of types and the theoretical  ...  ), and bias (seller-biased, buyer-biased, or neutral) in their classification of EMs.  ... 
dblp:conf/icis/SohM02 fatcat:klrkwxammvgndfshrmcipez6ly

Fairness in Machine Learning: A Survey [article]

Simon Caton, Christian Haas
2020 arXiv   pre-print
There is significant literature on approaches to mitigate bias and promote fairness, yet the area is complex and hard to penetrate for newcomers to the domain.  ...  This article seeks to provide an overview of the different schools of thought and approaches to mitigating (social) biases and increase fairness in the Machine Learning literature.  ...  [164] Manisha and Gujar [195] Nabi and Shpitser [208] Nabi et al. [209] Narasimhan [210] Zemel et al. [288] Regularization Aghaei et al. [7] Bechavod and Ligett [19] Berk et al.  ... 
arXiv:2010.04053v1 fatcat:cvao3z5fmzc3xoehq5q7tqfvgy

Improving clinical decision-making in psychiatry: implementation of digital phenotyping could mitigate the influence of patient's and practitioner's individual cognitive biases

Stéphane Mouchabac, Ismael Conejero, Camille Lakhlifi, Ilyass Msellek, Leo Malandain, Vladimir Adrien, Florian Ferreri, Bruno Millet, Olivier Bonnot, Alexis Bourla, Redwan Maatoug
2021 Dialogues in Clinical Neuroscience  
'e-semiology'.  ...  Indeed, the decision in clinical practice can be influenced by errors or approximations which can affect the diagnosis and, by extension, the prognosis: human factors are responsible for a significant  ...  Classification of the most common cognitive biases in medicine.  ... 
doi:10.1080/19585969.2022.2042165 pmid:35860175 pmcid:PMC9286737 fatcat:ytda2c3x45a4pgxhxkx35ov3wq

A Survey on Expert Recommendation in Community Question Answering

Xianzhi Wang, Chaoran Huang, Lina Yao, Boualem Benatallah, Manqing Dong
2018 Journal of Computer Science and Technology  
In this survey, we first present an overview of the research efforts and state-of-the-art techniques for the expert recommendation in CQA.  ...  Instead of passively waiting for users to browse and find their questions of interest, an expert recommendation method raises the attention of users to the appropriate questions actively and promptly.  ...  Answers dataset, the records in the Stack Overflow dataset is massive, and most existing research sample a subset of the entire dataset for study. For example, Pal et al.  ... 
doi:10.1007/s11390-018-1845-0 fatcat:zedffohznfeqxetyodegdj2gpi

Direct and mediated ties to universities: "Scientific" absorptive capacity and innovation performance of pharmaceutical firms

René Belderbos, Victor A Gilsing, Shinya Suzuki
2015 Strategic Organization  
Extant literature on firm-university collaboration has emphasized two different strategies that firms in science based industries adopt in order to source scientific knowledge and expertise.  ...  Drawing on patent and publication data in a panel of 33 vertically integrated pharmaceutical firms, we find that direct university collaboration is more beneficial for firms with relatively high scientific  ...  We wish to thank Massimo Riccaboni for allowing us access to the Pharmaceutical Industry Database and ECOOM at KU Leuven for access to Thomson Reuters' Web of Knowledge.  ... 
doi:10.1177/1476127015604734 fatcat:ktgd4ptgjndwxjfdgazij43lni

Load-Balancing the Distance Computations in Record Linkage

Dimitrios Karapiperis, Vassilios S. Verykios
2015 SIGKDD Explorations  
machine learning and data mining conference (ECML-PKDD 2014) in Nancy, France.  ...  High quality questions improve the CQA experience and therefore it is essential for CQA forums to better understand what characterizes questions that are more appealing for the forum community.  ...  Further information about the workshop, contributed full papers and presentations can be found at http://users.dsic.upv.es/ flip/LMCE2014/.  ... 
doi:10.1145/2830544.2830546 fatcat:lo6jns4dl5felgvdgos6etn7v4

Gastric Cancer Microbiome

Williams Fernandes Barra, Dionison Pereira Sarquis, André Salim Khayat, Bruna Cláudia Meireles Khayat, Samia Demachki, Ana Karyssa Mendes Anaissi, Geraldo Ishak, Ney Pereira Carneiro Santos, Sidney Emanuel Batista Dos Santos, Rommel Rodriguez Burbano, Fabiano Cordeiro Moreira, Paulo Pimentel de Assumpção
2021 Pathobiology (Basel)  
Aiming to minimize methodological bias and limitations due to small sample size and the lack of standardization of bioinformatics assessment and interpretation, we carried out a comprehensive analysis  ...  H. pylori remains the main microorganism impacting gastric carcinogenesis and seems necessary for the initial steps of the process.  ...  Acknowledgements We acknowledge Universidade Federal do Pará (PROPESP and FADESP) for technical support and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and Coordenação de Aperfeiçoamento  ... 
doi:10.1159/000512833 pmid:33588422 fatcat:hiioznkazzfu7mnbyelz7gyjge

1989, the year that never ended: epistemology and methodology of the research in Political Communication in Brazil

Francisco Paulo Jamil Marques, Edna Miola
2018 Revista Comunicação e Sociedade  
The third section reflects on the consequences of the burdens previously pointed out: for example, research findings that tend to overestimate media effects.  ...  area of expertise.  ...  Moreover, Isabele Mitozo was responsible for translating the article to its English version. We thank to all the institutions that provided funding for this research, namely CAPES and CNPq.  ... 
doi:10.17231/comsoc.33(2018).2910 fatcat:ht6hz566jna4nkbtz26mzghsea
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