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Why we need biased AI – How including cognitive and ethical machine biases can enhance AI systems [article]

Sarah Fabi, Thilo Hagendorff
2022 arXiv   pre-print
First, in order to foster efficient algorithmic decision-making in complex, unstable, and uncertain real-world environments, we argue for the structurewise implementation of human cognitive biases in learning  ...  Ultimately, this paper is the first tentative step to explicitly pursue the idea of a re-evaluation of the ethical significance of machine biases, as well as putting the idea forth to implement cognitive  ...  We argue for a re-evaluation of the notion of ethical and cognitive biases in machines, which can be ethically desirable as well as methodologically advantageous when implemented in machine learning models  ... 
arXiv:2203.09911v1 fatcat:he25ahw43vgvxb5e5jpozdx6ca

Linking the Robo-advisors Phenomenon and Behavioural Biases in Investment Management: An Interdisciplinary Literature Review and Research Agenda

Nomeda Lisauskiene, Valdone Darskuviene
2021 Organizations and Markets in Emerging Economies  
First, it provides arguments on why a dual process theoretical framework in the relationship between financial advisory and investment behavioural biases is applicable.  ...  The paper aims to provide insights on future research agenda based on a review of the current stance of research on the links between the Robo-advisors phenomenon and behavioural biases of individual investors  ...  Based on the evolution of Robo-advisors, as presented in Table 1 , and taking into account the broad context of investors' needs and future development in intelligent data analysis and machine learning  ... 
doi:10.15388/omee.2021.12.65 fatcat:w3ynlk5xq5dahfocido7y2jeoy

Using the Computational Model of the Mind to Design Educational Methodologies: Solving Problems More Efficiently in the Classroom

Juan Carlos Olabe, Christian Brothers University, Memphis, USA, Xabier Basogain, Miguel Ángel Olabe
2018 International Journal of Learning and Teaching  
A computational model of the mind provides the framework for the development of a new school curriculum and a new set of educational methodologies.  ...  We use a set of examples to illustrate the new framework and its effects in a more effective classroom.  ...  of human cognitive capabilities, and a paradigm of virtual cognitive machines in the area of educational methodology Figure 1 . 1 Irreducible procedures of the object self-driving car implemented in the  ... 
doi:10.18178/ijlt.4.4.264-270 fatcat:zvu6ydpdqva5toz6fknwgthgc4

Intelligence Augmentation: Towards Building Human- machine Symbiotic Relationship

Lina Zhou, University of North Carolina at Charlotte, Souren Paul, Haluk Demirkan, Lingyao (Ivy) Yuan, Jim Spohrer, Michelle Zhou, Julie Basu, Northern Kentucky University, University of Washington Tacoma, Iowa State University, IBM (+2 others)
2021 AIS Transactions on Human-Computer Interaction  
Expanded from a panel discussion on Intelligence Augmentation at the 2020 International Conference of Information Systems (ICIS), we define IA in light of its history and evolution and classify IA based  ...  These advances have caused many to fear that machines will surpass human intelligence and dominate humans.  ...  Acknowledgments We thank the Editor-in-Chief, Fiona Nah, and the Managing Editor, Gregory D. Moody, for their support and guidance throughout the process.  ... 
doi:10.17705/1thci.00149 fatcat:evjwzwp2cra3tbf37s6chcsyuu

OCR++: A Robust Framework For Information Extraction from Scholarly Articles [article]

Mayank Singh, Barnopriyo Barua, Priyank Palod, Manvi Garg, Sidhartha Satapathy, Samuel Bushi, Kumar Ayush, Krishna Sai Rohith, Tulasi Gamidi, Pawan Goyal, Animesh Mukherjee
2016 arXiv   pre-print
We analyze a diverse set of scientific articles written in English language to understand generic writing patterns and formulate rules to develop this hybrid framework.  ...  A user experience study conducted with the help of 30 researchers reveals that the researchers found this system to be very helpful.  ...  This demonstrates the effectiveness and robustness of using generic patterns and rules used in building OCR++.  ... 
arXiv:1609.06423v3 fatcat:5zdkmcwh5ndwhaakjphcwr2ohe

Natural Language Processing: A Human-Computer Interaction Perspective [chapter]

Bill Manaris
1998 Advances in Computers  
As computers continue to become more affordable and accessible, the importance of user interfaces that are effective, robust, unobtrusive, and user-friendly -regardless of user expertise or impediments  ...  During this time, it has significantly contributed to the field of human-computer interaction in terms of theoretical results and practical applications.  ...  Slator is acknowledged for his contribution to an early outline -especially on the phases of NLP evolution; István Berkeley for discussions on philosophical and connectionist issues; and Eleni Efthimiou  ... 
doi:10.1016/s0065-2458(08)60665-8 fatcat:qkvovunv6bdqrn4wwuutmtwd6m

Learning-Assisted Automated Planning: Looking Back, Taking Stock, Going Forward

Terry Zimmerman, Subbarao Kambhampati
2003 The AI Magazine  
This article reports on an extensive survey and analysis of research work related to machine learning as it applies to automated planning over the past 30 years.  ...  We extend the survey analysis to suggest promising avenues for future research in learning based on both previous experience and current needs in the planning community.  ...  It is apparent that automated planning and machine learning are well-matched methodologies in a variety of configurations, and we suggest there are a number of these approaches that merit more research  ... 
doi:10.1609/aimag.v24i2.1705 dblp:journals/aim/ZimmermanK03 fatcat:5umdmeki4zdlznah2hhdrjpe5e

Hybrid Evolutionary Algorithms: Methodologies, Architectures, and Reviews [chapter]

Crina Grosan, Ajith Abraham
2007 Studies in Computational Intelligence  
We also provide a review of some of the interesting hybrid frameworks reported in the literature.  ...  The population-based collective learning process, selfadaptation, and robustness are some of the key features of evolutionary algorithms when compared to other global optimization techniques.  ...  A heuristic is used for solutions initialization. Fatourechi et al. [11] used a HGA for user customization of the energy normalization parameters in brain-computer interface systems.  ... 
doi:10.1007/978-3-540-73297-6_1 fatcat:u64nkslegbhatfwt3dvzlfsifi

Emerging paradigms of cognition in medical decision-making

Vimla L Patel, David R Kaufman, Jose F Arocha
2002 Journal of Biomedical Informatics  
knowledge in decision-making, and the emerging paradigm of naturalistic decisionmaking.  ...  As decision-support technology continues to proliferate in medical settings, it is imperative that "basic science" decision research develop a broader-based and more valid foundation for the study of medical  ...  Preparation of the manuscript was supported in part by the National Library of Medicine under Grant LM06594, with additional support from the Department of the Army and the Agency for Healthcare Research  ... 
doi:10.1016/s1532-0464(02)00009-6 pmid:12415726 fatcat:lhqexyi52bc7xmbkuqvc2epkwm

Humanities, Art And Science In The Context Of Interactive Sonic Systems - Some Considerations On A Cumbersome Relationship

Pietro Polotti
2011 Proceedings of the SMC Conferences  
Their article offers an overview of the available methodologies, and points out the lack of a unitary and robust framework for the discipline.  ...  Design is thought of as guideline for a sustainable relationship with technology evolution, from one side, and methodological instrument for a structured artistic research, from the other.  ... 
doi:10.5281/zenodo.849938 fatcat:5j37yp7obzfpjpjhssvnym356e

A Review of Machine Learning Algorithms for estimating Critical Quality Attributes from Multi-Sensor Data

Niall O' Mahony, Trevor Murphy, Krishna Panduru, Daniel Riordan, Joseph Walsh
2016 International Journal of Sustainable Energy Development  
The article presents perspectives on the potential benefits of machine learning algorithms with a view to their future in the industrial process industry.  ...  The article presents a comparison of machine learning algorithms applied to sensor data collected for a polymerisation process.  ...  Finally, a genetic algorithm was used to optimise the weights and biases of an untrained feed forward neural network.  ... 
doi:10.20533/ijsed.2046.3707.2016.0038 fatcat:gikxeojptfervkrk47dhnamjfa

On the Importance of User Backgrounds and Impressions: Lessons Learned from Interactive AI Applications

Mahsan Nourani, Chiradeep Roy, Jeremy E. Block, Donald R. Honeycutt, Tahrima Rahman, Eric D. Ragan, Vibhav Gogate
2022 ACM transactions on interactive intelligent systems (TiiS)  
Motivated by these findings and similar existing work, we formalize and present a conceptual model of user's past experiences that examine the relations between user's backgrounds, experiences, and human  ...  Our work presents strong findings and implications, aiming to raise the awareness of AI designers towards biases associated with user impressions and backgrounds.  ...  The authors of this paper would like to thank the reviewers for their constructive feedback on the earlier manuscript from this paper.  ... 
doi:10.1145/3531066 fatcat:lo2ol7ymvfc2zaqpk7kqanfmii

Checklist for Expert Evaluation of HMIs of Automated Vehicles—Discussions on Its Value and Adaptions of the Method within an Expert Workshop

Nadja Schömig, Katharina Wiedemann, Sebastian Hergeth, Yannick Forster, Jeffrey Muttart, Alexander Eriksson, David Mitropoulos-Rundus, Kevin Grove, Josef Krems, Andreas Keinath, Alexandra Neukum, Frederik Naujoks
2020 Information  
of humanmachine interfaces (HMIs) for AVs was presented.  ...  Within a workshop on evaluation methods for automated vehicles (AVs) at the Driving Assessment 2019 symposium in Santa Fe; New Mexico, a heuristic evaluation methodology that aims at supporting the development  ...  Acknowledgments: The development of the method was funded by BMW Group. The workshop was organized by WIVW GmbH and hosted by the Driving Assessment Conference.  ... 
doi:10.3390/info11040233 fatcat:4eqlbo64pnaufmjrky2v4jhysu

Towards User-Centered Metrics for Trustworthy AI in Immersive Cyberspace [article]

Pengyuan Zhou, Benjamin Finley, Lik-Hang Lee, Yong Liao, Haiyong Xie, Pan Hui
2022 arXiv   pre-print
Thus, we give an overlook on fairness, privacy and robustness, across the historical path from existing approaches.  ...  AI plays a key role in current cyberspace and future immersive ecosystems that pinpoint user experiences.  ...  Machine learning models thus often adopt these biases when being trained on the bias-embedded datasets.  ... 
arXiv:2203.03718v1 fatcat:6wmxe7rzf5dyrgu7ufstkkf3da

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  ...  The onus in these particular cases is on developing robust ontologies to map human desires into machine-interpretable operations.  ... 
arXiv:2205.04139v1 fatcat:kfo3oybsjvfs5gjyt2j3dbaali
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