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Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making [article]

Charvi Rastogi, Yunfeng Zhang, Dennis Wei, Kush R. Varshney, Amit Dhurandhar, Richard Tomsett
2022 arXiv   pre-print
Several strands of research have aimed to bridge the gap between artificial intelligence (AI) and human decision-makers in AI-assisted decision-making, where humans are the consumers of AI model predictions  ...  In this work, we use knowledge from the field of cognitive science to account for cognitive biases in the human-AI collaborative decision-making setting, and mitigate their negative effects on collaborative  ...  The work of Charvi Rastogi was supported in part by NSF CIF 1763734.  ... 
arXiv:2010.07938v2 fatcat:cyy7enue6naz5fyx5x6ued3xde

Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making

Charvi Rastogi, Yunfeng Zhang, Dennis Wei, Kush R. Varshney, Amit Dhurandhar, Richard Tomsett
2022 Proceedings of the ACM on Human-Computer Interaction  
Several strands of research have aimed to bridge the gap between artificial intelligence (AI) and human decision-makers in AI-assisted decision-making, where humans are the consumers of AI model predictions  ...  In this work, we use knowledge from the field of cognitive science to account for cognitive biases in the human-AI collaborative decision-making setting, and mitigate their negative effects on collaborative  ...  The work of Charvi Rastogi was supported in part by NSF CIF 1763734.  ... 
doi:10.1145/3512930 fatcat:rnhurhqcandfrjowhqvogwizcm

Fast and Slow Processes Underlying Theories of Information Technology Use

Thomas Ferratt, Jayesh Prasad, E. James Dunne
2018 Journal of the AIS  
Regarding the first need, we develop novel theory by explaining two types of cognitive processes-one fast and one slow-that underlie theories of IT use.  ...  the effects of heuristics, nudges, and bounded rationality on decisions to use IT.  ...  Journal of the Association for Information Systems  ... 
doi:10.17705/1jais.00482 fatcat:onm5sgq4m5gdxgt6o3jqxdejma

Wearable Reasoner

Valdemar Danry, Pat Pataranutaporn, Yaoli Mao, Pattie Maes
2020 Proceedings of the Augmented Humans International Conference  
Qualitative interviews demonstrate users' internal processes of reflection and integration * Authors contributed equally to this research. of the new information in their judgment and decision making,  ...  ABSTRACT Human judgments and decisions are prone to errors in reasoning caused by factors such as personal biases and external misinformation.  ...  People suffer from these cognitive biases by making less optimal judgments and decisions.  ... 
doi:10.1145/3384657.3384799 dblp:conf/aughuman/DanryPMM20 fatcat:fyncrdv35jagbcnv46n5u77mpm

The Future of Judging: Algorithms in the Courtroom

Inbar Levy
2021 Law and Business  
These keynote lecture notes explore the potential and limitations of using algorithms and machine learning tools in the courtroom.  ...  It identifies different areas in which algorithms would be suitable for legal decision-making and areas in which human judgments should be preserved.  ...  Everyone who has read the book Thinking Fast and Slow by Daniel Kahneman, who won a noble prize, would be familiar with the work he did with Amos Tversky about heuristics and biases.  ... 
doi:10.2478/law-2021-0002 fatcat:2ndycgwqafcvbidh5ds2m5ymqu

AI, Explainability and Public Reason: The Argument from the Limitations of the Human Mind

Jocelyn Maclure
2021 Minds and Machines  
In the second part of the paper, I try to show that the argument from the limitations of human cognition fails to get AI off the hook of public reason.  ...  I try to make the case for the legal enforcement of a strong explainability requirement: human organizations which decide to automate decision-making should be legally obliged to demonstrate the capacity  ...  Acknowledgements An earlier version of this paper was presented to the philosophy department at McGill University. I wish to thank all the participants for the helpful discussion.  ... 
doi:10.1007/s11023-021-09570-x fatcat:ijujt3q2q5gkfnfh7ycjzwkvq4

Logic, Reasoning, Decision-Making

Nataliia Reva
2018 Future Human Image  
While human can use different tools to reach their goal and make the decisions in real life.  ...  (3) What differs us from the Artificial Intelligence in the decision-making process?  ...  The "source of power" involved in the process of making fast and good decisions in the stressful situations of high importance or danger risks is not the analytical one.  ... 
doi:10.29202/fhi/10/8 fatcat:ge5l5ztstjfkxcy6qpzlfoyk5e

Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour [article]

Emilia Gómez, Carlos Castillo, Vicky Charisi, Verónica Dahl, Gustavo Deco, Blagoj Delipetrev, Nicole Dewandre, Miguel Ángel González-Ballester, Fabien Gouyon, José Hernández-Orallo, Perfecto Herrera, Anders Jonsson, Ansgar Koene (+11 others)
2018 arXiv   pre-print
intelligence, algorithm's potential impact on human cognitive capabilities and decision making, and evaluation and regulation needs.  ...  In the conclusion section, we provide a list of emerging research topics and strategies to be addressed in the near future.  ...  Such investigations are critical when considering the use of AI and robots in educational (and health) environments.  ... 
arXiv:1806.03192v1 fatcat:jypjtwtgxbg5vbkigudnxtsp64

A Conceptual Framework on Defining Businesses Strategy for Artificial Intelligence

Salih Caner, Feyza Bhatti
2020 Contemporary Management Research  
Consolidating business and technical views of AI, the paper discusses the major elements of AI in business like abilities and limitations of AI, economics and AI, business functions and AI, workforce,  ...  The technological developments on artificial intelligence (AI) are going to diffuse in all scales of firms in different industries.  ...  systems: Although AI exceeds human cognition in formulating decisions from a huge amount of data, non-explainable and biased AI decisions are the major risk for AI as a whole.  ... 
doi:10.7903/cmr.19970 fatcat:3qu7eg5rzrbs3coorvgbqrnley

Decolonizing the Anthropocene: 'Slow Violence' and Indigenous Resistance in Cherie Dimaline's The Marrow Thieves

Chiara Xausa
2020 ˜Il œTolomeo  
reimagination of the Anthropocene in contemporary postcolonial and Indigenous theory and fiction.  ...  Secondly, I will suggest that the novel's apocalypse reveals the processes of colonial violence and dispossession that have culminated in the eruptive event of environmental catastrophe, rather than portraying  ...  For a stylistician, any other way of analysing a text runs the risk of being bizarre and biased.  ... 
doi:10.30687/tol/2499-5975/2020/22/022 fatcat:qbx4ssap2ncttopq4yt7bxea2i

Resource-rational analysis: understanding human cognition as the optimal use of limited computational resources

Falk Lieder, Thomas L. Griffiths
2019 Behavioral and Brain Sciences  
The integration of rational principles with realistic cognitive constraints makes resource-rational analysis a promising framework for reverse-engineering cognitive mechanisms and representations.  ...  We identify the rational use of limited resources as a unifying principle underlying these diverse approaches, expressing it in a new cognitive modeling paradigm called resource-rational analysis.  ...  of rationality in explaining human behavior and some cognitive biases that have challenged this role.  ... 
doi:10.1017/s0140525x1900061x pmid:30714890 fatcat:syk5473scvcg3alabzq4umtbti

Human–Robot Interactions and Affective Computing: The Ethical Implications [chapter]

Laurence Devillers
2021 Robotics, AI, and Humanity  
AbstractThe field of social robotics is fast developing and will have wide implications especially within health care, where much progress has been made towards the development of "companion robots."  ...  They must be able to detect human emotions and in turn mimic human emotional reactions as well as having an outward appearance that corresponds to human expectations about their caregiving role.  ...  Recent advances in neurosciences are highlighting connections between emotion, social functioning, and decision-making that have the potential to revolutionize our understanding of the role of affect.  ... 
doi:10.1007/978-3-030-54173-6_17 fatcat:c6dt4ttuozggdn34osrb7ih7ta

Artificial Intelligence & Machine Learning: a model for a new judicial system?

Paula C. Arias
2020 Revista Internacional Jurídica y Empresarial  
Due to the benefits of these technologies, such as efficiency, objectivity, and transparency, the trend is towards the integration of Artificial Intelligence and Machine Learning in the judicial system  ...  Integration that is advocated at all levels and, today, has been achieved mostly under the implementation of tools to assist the exercise of the judiciary.  ...  by the A.I. system, and the AI Judge does not replace the adjudicator, it only assists with repetitive tasks but the human judge retains the decision-making process.  ... 
doi:10.32466/eufv-r.i.j.e.2020.3.593.81-91 fatcat:di5466jt3jhntlhtrzmzrc6irm

An Iterative and Collaborative End-to-End Methodology Applied to Digital Mental Health

Laura Joy Boulos, Alexandre Mendes, Alexandra Delmas, Ikram Chraibi Kaadoud
2021 Frontiers in Psychiatry  
Artificial intelligence (AI) algorithms together with advances in data storage have recently made it possible to better characterize, predict, prevent, and treat a range of psychiatric illnesses.  ...  Amid the rapidly growing number of biological devices and the exponential accumulation of data in the mental health sector, the upcoming years are facing a need to homogenize research and development processes  ...  cognitive biases: (2) system 1 refers to an automatic, intuitive, unconscious, fast, and effortless decision process; (3) system 2 makes deliberate, non-programmed, conscious, slow, and effortful decisions  ... 
doi:10.3389/fpsyt.2021.574440 pmid:34630171 pmcid:PMC8495427 fatcat:jayqu3a67fdi5imcelet3uxpc4

Decision-Making in High-Velocity Environments: The Importance of Guiding Principles

David Oliver, Johan Roos
2005 Organization Studies  
The authors develop two interpretive cases that focus on the articulated and social methods management teams used to make decisions.  ...  They found that both organizations used rules of thumb or heuristic reasoning in their decision-making, that these rules of thumb functioned as headlines of deeper organizational narratives, and that these  ...  Limitations of Knowledge Structures in Understanding Decision Making Most studies into the role of knowledge structures for organizational decision-making rely on some key, limiting assumptions.  ... 
doi:10.1177/0170840605054609 fatcat:rh36dxeonra77desrfpvodqsx4
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