scholarly journals Law and software analysis: A step closer to resolving investment disputes through artificial intelligence?

2021 ◽  
Vol 59 (2) ◽  
pp. 123-140
Author(s):  
Milena Galetin ◽  
Anica Milovanović
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Legal Issues ◽  
The Other ◽  
Judicial Discretion ◽  
Applicable Law ◽  
Software Analysis ◽  
Starting Point ◽  
Decision Making Processes ◽  
Larger Sample

Considering the possibility of using artificial intelligence in resolving legal disputes is becoming increasingly popular. The authors examine whether soft ware analysis can be applied to resolve a specific issue in investment disputes - to determine the applicable law to the substance of the dispute and highlight the application of artificial intelligence in the area of law, especially in predicting the outcome of a dispute. The starting point is a sample of 50 arbitral awards and the results of previously conducted research. It has been confirmed that soft ware analysis can be useful in decision-making processes, but not to the extent that arbitrators could exclusively rely on it. On the other hand, the development of an algorithm that would predict applicable law for different legal issues required a much larger sample. We also believe that the existence of different legal and factual circumstances in each case, as well as the personality of the arbitrator and arbitral/judicial discretion are limitations of the application of artificial intelligence in this area.

Cultivating Trustworthy Artificial Intelligence in Digital Government

2020 ◽  
pp. 089443932098012
Author(s):  
Teresa M. Harrison ◽  
Luis Felipe Luna-Reyes
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Policy Analysis ◽  
Public Trust ◽  
Governance Structures ◽  
Cognitive Tools ◽  
Lens Model ◽  
Digital Government ◽  
Government Decision ◽  
Decision Making Processes

While there is growing consensus that the analytical and cognitive tools of artificial intelligence (AI) have the potential to transform government in positive ways, it is also clear that AI challenges traditional government decision-making processes and threatens the democratic values within which they are framed. These conditions argue for conservative approaches to AI that focus on cultivating and sustaining public trust. We use the extended Brunswik lens model as a framework to illustrate the distinctions between policy analysis and decision making as we have traditionally understood and practiced them and how they are evolving in the current AI context along with the challenges this poses for the use of trustworthy AI. We offer a set of recommendations for practices, processes, and governance structures in government to provide for trust in AI and suggest lines of research that support them.

scholarly journals Responses to Modified Monty Hall Dilemmas in Capuchin Monkeys, Rhesus Macaques, and Humans

2018 ◽  
Vol 31 ◽  
Author(s):  
Julia Watzek ◽  
Will Whitham ◽  
David A. Washburn ◽  
Sarah F. Brosnan
Keyword(s):  
Decision Making ◽  
Rhesus Macaques ◽  
The Other ◽  
Comparative Approach ◽  
Capuchin Monkeys ◽  
Monty Hall Dilemma ◽  
Decision Making Processes ◽  
Monty Hall ◽  
Text Version ◽  
Switch Strategy

The Monty Hall Dilemma (MHD) is a simple probability puzzle famous for its counterintuitive solution. Participants initially choose among three doors, one of which conceals a prize. A different door is opened and shown not to contain the prize. Participants are then asked whether they would like to stay with their original choice or switch to the other remaining door. Although switching doubles the chances of winning, people overwhelmingly choose to stay with their original choice. To assess how experience and the chance of winning affect decisions in the MHD, we used a comparative approach to test 264 college students, 24 capuchin monkeys, and 7 rhesus macaques on a nonverbal, computerized version of the game. Participants repeatedly experienced the outcome of their choices and we varied the chance of winning by changing the number of doors (three or eight). All species quickly and consistently switched doors, especially in the eight-door condition. After the computer task, we presented humans with the classic text version of the MHD to test whether they would generalize the successful switch strategy from the computer task. Instead, participants showed their characteristic tendency to stick with their pick, regardless of the number of doors. This disconnect between strategies in the classic version and a repeated nonverbal task with the same underlying probabilities may arise because they evoke different decision-making processes, such as explicit reasoning versus implicit learning.

scholarly journals Pasteloza – refurbishing of the PPR heritage

2019 ◽  
Vol 63 (1) ◽  
pp. 51-64
Author(s):  
Sara Nikolić
Keyword(s):  
Decision Making ◽  
Thermal Insulation ◽  
Citizen Participation ◽  
Civic Participation ◽  
The Other ◽  
Geometric Figures ◽  
State Administration ◽  
Decision Making Processes ◽  
The City ◽  
Housing Estates

Abstract Colourful zigzags, arcade game motifs, geometric figures, pseudo-frames of windows and even infantile drawings of flora and fauna – those are just some of the visible symptoms of the aesthetical and urbanistic chaotic condition also known as Polish pasteloza. One of the most common readings is that the excuse of thermal insulation is being (ab)used in order to radically erase the urbanistic, cultural and political heritage of Polish People’s Republic (PPR) from the city landscape. On the other hand, inhabitants of ‘pastelized’ housing estates claim to be satisfied not only with the insulation but also with their role in decision-making processes. A sense of alienation from one’s home seems to have gone away, together with the centralized state administration, and it is being replaced by citizen participation. The possibility of vindication of pasteloza’s ‘crimes against aesthetics’ will be deliberated in this paper – in order to pave a path for more complex understanding of this phenomenon that could offer a solution for achieving a compromise between aesthetics and civic participation in post-transition processes.

scholarly journals Stochastic Fuzzy Algorithms for Impairment of Assets Management

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Marcel Ioan Bolos ◽  
Victoria Bogdan ◽  
Ioana Alexandra Bradea ◽  
Claudia Diana Sabau Popa ◽  
Dorina Nicoleta Popa
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Fuzzy Numbers ◽  
Cash Flows ◽  
The Other ◽  
Dual Purpose ◽  
Fuzzy Algorithms ◽  
Tangible Assets ◽  
The Impact

The present paper aims to analyze the impairment of tangible assets with the help of artificial intelligence. Stochastic fuzzy numbers have been introduced with a dual purpose: on one hand to estimate the cash flows generated by tangible assets exploitation and, on the other hand, to ensure the value ranges stratifications that define these cash flows. Estimation of cash flows using stochastic fuzzy numbers was based on cash flows generated by tangible assets in previous periods of operation. Also, based on the Lagrange multipliers, were introduced: the objective function of minimizing the standard deviations from the recorded value of the cash flows generated by the tangible assets, as well as the constraints caused by the impairment of tangible assets identification according to which the cash flows values must be equal to the annual value of the invested capital. Within the determination of the impairment value and stratification of the value ranges determined by the cash flows using stochastic fuzzy numbers, the impairment of assets risk was identified. Information provided by impairment of assets but also the impairment risks, is the basis of the decision-making measures taken to mitigate the impact of accumulated impairment losses on company’s financial performance.

scholarly journals Applicability of Artificial Intelligence in Decision-Making for Land Forces

2021 ◽  
Vol 30 (2) ◽  
pp. 039-054
Author(s):  
Paul Tudorache
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Research Methodology ◽  
Research Paper ◽  
The Other ◽  
Military Operations ◽  
Other Hand ◽  
The Military

Similar to other fields, also in the military one, the Artificial Intelligence has become recently an evident solution for optimizing specific processes and activities. Therefore, this research paper aims to highlight the potential uses of Artificial Intelligence in the military operations carried out by the Land Forces. In this regard, analysing the framework of the operations process and applying suitable research methodology, the main findings are related to AI’s contributions in optimizing commander’s decisions during the progress of planning and execution. On the other hand, picturing the AI upgrated combat power of the Land Forces is another significant result of this study.

scholarly journals Statistics and Artificial Intelligence-Based Pavement Performance and Remaining Service Life Prediction Models for Flexible and Composite Pavement Systems

2020 ◽  
Vol 2674 (10) ◽  
pp. 448-460
Author(s):  
Orhan Kaya ◽  
Halil Ceylan ◽  
Sunghwan Kim ◽  
Danny Waid ◽  
Brian P. Moore
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Prediction Models ◽  
Pavement Management ◽  
Pavement Performance ◽  
Management Decision ◽  
Performance Models ◽  
Remaining Service Life ◽  
Management Decision Making ◽  
Decision Making Processes

In their pavement management decision-making processes, U.S. state highway agencies are required to develop performance-based approaches by the Moving Ahead for Progress in the 21st Century (MAP-21) federal transportation legislation. One of the performance-based approaches to facilitate pavement management decision-making processes is the use of remaining service life (RSL) models. In this study, a detailed step-by-step methodology for the development of pavement performance and RSL prediction models for flexible and composite (asphalt concrete [AC] over jointed plain concrete pavement [JPCP]) pavement systems in Iowa is described. To develop such RSL models, pavement performance models based on statistics and artificial intelligence (AI) techniques were initially developed. While statistically defined pavement performance models were found to be accurate in predicting pavement performance at project level, AI-based pavement performance models were found to be successful in predicting pavement performance in network level analysis. Network level pavement performance models using both statistics and AI-based approaches were also developed to evaluate the relative success of these two models for network level pavement performance modeling. As part of this study, in the development of pavement RSL prediction models, automation tools for future pavement performance predictions were developed and used along with the threshold limits for various pavement performance indicators specified by the Federal Highway Administration. These RSL models will help engineers in decision-making processes at both network and project levels and for different types of pavement management business decisions.

Us and Them : Scientists' and Animal Rights Campaigners' Views of the Animal Experimentation Debate

1995 ◽  
Vol 3 (1) ◽  
pp. 1-21 ◽  
Author(s):  
Elizabeth S. Paul
Keyword(s):  
Decision Making ◽  
Animal Rights ◽  
Animal Experiments ◽  
Animal Experimentation ◽  
The Other ◽  
Decision Making Processes ◽  
Opposing Group ◽  
Relative Capacity ◽  
Extreme View

AbstractAnimal rights campaigners and scientists working with animals completed anonymous questionnaires in which they were asked to report, not only on their own beliefs and ideas about the animal experimentation debate, but also on those they perceived the opposing group to hold. Both groups of participants tended to have a negative and somewhat extreme view of the other. But they did have an accurate grasp of the arguments and defenses commonly offered on both sides of the debate, and showed some agreement concerning the relative capacity of different animals to suffer. Differences appeared in the level of the phylogenetic hierarchy at which participants thought animals might be capable of suffering, and in their decision-making processes regarding the admissibility of animal experiments.

Expert knowledge and decision-making in controversy contexts

1993 ◽  
Vol 2 (4) ◽  
pp. 417-426 ◽  
Author(s):  
Camille Limoges
Keyword(s):  
Decision Making ◽  
Boundary Conditions ◽  
Learning Process ◽  
Expert Knowledge ◽  
Collective Learning ◽  
The Other ◽  
Current View ◽  
Public Controversy ◽  
Decision Making Processes

There was a time when the mobilization of experts was a taken-for-granted, unproblematic aspect of decision-making processes. That confidence has vanished. Ascertaining the significance of expertise now requires a reconsideration of the dynamics of controversies. The current view still assimilates controversy to the medieval exercise of the disputatio in which two parties argue one against the other. A non-reductionist view is needed to take fully into account the diversity of worlds of relevance involved in the dynamics of any public controversy. Only then is it possible to understand how decision making is predicated upon associations of worlds of relevance, and how expertise is actually a collective learning process which sets the boundary conditions for the efficacy of individual experts.

scholarly journals Age-dependency in binocular rivalry is reflected by exclusive percepts, not mixed percepts

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Elahe Arani ◽  
Raymond van Ee ◽  
Richard van Wezel
Keyword(s):  
Decision Making ◽  
Binocular Rivalry ◽  
Age Groups ◽  
The Other ◽  
Perceptual Decision Making ◽  
Age Related ◽  
Determining Factors ◽  
Decision Making Processes ◽  
Neural Factors ◽  
Inhibitory Interactions

AbstractSome aspects of decision-making are known to decline with normal aging. One of the known perceptual decision-making processes which is vastly studied is binocular rivalry. It is well-established that the older the person, the slower the perceptual dynamics. However, the underlying neurobiological cause is unknown. So, to understand how age affects visual decision-making, we investigated age-related changes in perception during binocular rivalry. In binocular rivalry, the image presented to one eye competes for perceptual dominance with the image presented to the other eye. Perception during binocular rivalry consists of alternations between exclusive percepts. However, frequently, mixed percepts with combinations of the two monocular images occur. The mixed percepts reflect a transition from the percept of one eye to the other but frequently the transitions do not complete the full cycle and the previous exclusive percept becomes dominant again. The transitional idiosyncrasy of mixed percepts has not been studied systematically in different age groups. Previously, we have found evidence for adaptation and noise, and not inhibition, as underlying neural factors that are related to age-dependent perceptual decisions. Based on those conclusions, we predict that mixed percepts/inhibitory interactions should not change with aging. Therefore, in an old and a young age group, we studied binocular rivalry dynamics considering both exclusive and mixed percepts by using two paradigms: percept-choice and percept-switch. We found a decrease in perceptual alternation Probability for older adults, although the rate of mixed percepts did not differ significantly compared to younger adults. Interestingly, the mixed percepts play a very similar transitional idiosyncrasy in our different age groups. Further analyses suggest that differences in synaptic depression, gain modulation at the input level, and/or slower execution of motor commands are not the determining factors to explain these findings. We then argue that changes in perceptual decisions at an older age are the result of changes in neural adaptation and noise.

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