ARTIFICIAL INTELLIGENCE AND "PREDICTED JUSTICE": FOREIGN EXPERIENCE

Lex Russica ◽  
2019 ◽  
pp. 79-87
Author(s):  
P. N. Biryukov
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Relevant Information ◽  
Final Decision ◽  
Legal Information ◽  
The Right ◽  
Task Interpretation ◽  
Short Time ◽  
Analytical Tools

The paper deals with the problems of application of artificial intelligence (AI) in the field of justice. Present day environment facilitates the use of AI in law. Technology has entered the market. As a result, "predicted justice" has become possible. Once an overview of the possible future process is obtained, it is easier for the professional to complete the task-interpretation and final decision-making (negotiations, litigation). It will take a lot of work to bring AI up to this standard. Legal information should be structured to make it not only readable, but also effective for decision-making. "Predicted justice" can help both the parties to the case and the judges in structuring information, and students and teachers seeking relevant information. The development of information technology has led to increased opportunities for "predicted justice" programs. They take advantage of new digital tools. The focus is on two advantages of the programs: a) improving the quality of services provided; b) simultaneously monitoring the operational costs of the justice system. "Predicted justice" provides algorithms for analyzing a huge number of situations in a short time, allowing you to predict the outcome of a dispute or at least assess the chances of success. It helps: choose the right way of defense, the most suitable arguments, estimate the expected amount of compensation, etc. Thus, it is not about justice itself, but only about analytical tools that would make it possible to predict future decisions in disputes similar to those that have been analyzed.

Development of a Decision-Making System for Sultan Moulay Slimane University in Beni Mellal, Morocco

2016 ◽  
Vol 2 (2) ◽  
pp. 469
Author(s):  
Abdellah Amine ◽  
Rachid Ait Daoud ◽  
Belaid Bouikhalene
Keyword(s):  
Decision Making ◽  
Information System ◽  
Relevant Information ◽  
Decision Makers ◽  
Digital Environment ◽  
Decision Making System ◽  
Beni Mellal ◽  
The Right ◽  
The University ◽  
Analytical Tools

<p>The issue dealt with in this article is to develop a decision-making information system related to the digital environment of the University work. We propose to model the data within the university in order to transform a system of information into a decision-making information system, that is based on the trades databases oriented toward the actors. A decision-making information is a system that allows the decision makers of the university to have relevant information and powerful analytical tools to help them take the right decision at the right time.</p>

Decision Support Software

2009 ◽  
pp. 440-447
Author(s):  
John Wang ◽  
Huanyu Ouyang ◽  
Chandana Chakraborty
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Mathematical Logic ◽  
Decision Support ◽  
Support Systems ◽  
Scientific Methods ◽  
Simulation And Optimization ◽  
Business Software ◽  
The Right ◽  
Support Software

Throughout the years many have argued about different definitions for DSS; however they have all agreed that in order to succeed in the decision-making process, companies or individuals need to choose the right software that best fits their requirements and demands. The beginning of business software extends back to the early 1950s. Since the early 1970s, the decision support technologies became the most popular and they evolved most rapidly (Shim, Warkentin, Courtney, Power, Sharda, & Carlsson, 2002). With the existence of decision support systems came the creation of decision support software (DSS). Scientists and computer programmers applied analytical and scientific methods for the development of more sophisticated DSS. They used mathematical models and algorithms from such fields of study as artificial intelligence, mathematical simulation and optimization, and concepts of mathematical logic, and so forth.

Artificial Intelligence Inroads Into HR

2022 ◽  
pp. 231-246
Author(s):  
Swati Bansal ◽  
Monica Agarwal ◽  
Deepak Bansal ◽  
Santhi Narayanan
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Human Resources ◽  
Generation Y ◽  
Industry 4.0 ◽  
Career Aspirations ◽  
Work Life ◽  
Human Decision ◽  
The Right ◽  
Talent Acquisition

Artificial intelligence is already here in all facets of work life. Its integration into human resources is a necessary process which has far-reaching benefits. It may have its challenges, but to survive in the current Industry 4.0 environment and prepare for the future Industry 5.0, organisations must penetrate AI into their HR systems. AI can benefit all the functions of HR, starting right from talent acquisition to onboarding and till off-boarding. The importance further increases, keeping in mind the needs and career aspirations of Generation Y and Z entering the workforce. Though employees have apprehensions of privacy and loss of jobs if implemented effectively, AI is the present and future. AI will not make people lose jobs; instead, it would require the HR people to upgrade their skills and spend their time in more strategic roles. In the end, it is the HR who will make the final decisions from the information that they get from the AI tools. A proper mix of human decision-making skills and AI would give organisations the right direction to move forward.

Artificial Intelligence in Aviation Industries

2020 ◽  
pp. 1-35
Author(s):  
Tetiana Shmelova ◽  
Arnold Sterenharz ◽  
Serge Dolgikh
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Decision Making ◽  
Unmanned Aircraft ◽  
Innovative Technology ◽  
Sociotechnical System ◽  
Air Traffic Controllers ◽  
High Degree ◽  
Difficult Situations

This chapter presents opportunities to use Artificial Intelligence (AI) in aviation and aerospace industries. The AI used an innovative technology for improving the effectiveness of building aviation systems in each stage of the lifecycle for enhancing the security of aviation systems and the characteristic ability to learn, improve, and predict difficult situations. The AI is presented in Air Navigation Sociotechnical system (ANSTS) because the activity of ANSTS, is accompanied by a high degree of risk of causing catastrophic outcomes. The operator's models of decision making in AI systems are presented such as Expert Systems, Decision Support Systems for pilots of manned and unmanned aircraft, air traffic controllers, engineers, etc. The quality of operator's decisions depends on the development and use of innovative technology of AI and related fields (Big Data, Data Mining, Multicriteria Decision Analysis, Collaboration Decision Making, Blockchain, Artificial Neural Network, etc.).

Finding Cost-Effective Applications for Expert Systems

1993 ◽  
Vol 115 (1) ◽  
pp. 56-61
Author(s):  
P. J. Hartman
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert Systems ◽  
Processing Speed ◽  
Development Process ◽  
Cost Effective ◽  
Risk Assessments ◽  
Problem Complexity ◽  
Practical Application ◽  
The Right

Expert systems are one of the few areas of artificial intelligence which have successfully made the transition from research and development to practical application. The key to fielding a successful expert system is finding the right problem to solve. AI costs, including all the development and testing, are so high that the problems must be very important to justify the effort. This paper develops a systematic way of trying to predict the future. It provides robust decision-making criteria, which can be used to predict the success or failure of proposed expert systems. The methods focus on eliminating obviously unsuitable problems and performing risk assessments and cost evaluations of the program. These assessments include evaluation of need, problem complexity, value, user experience, and the processing speed required. If an application proves feasible, the information generated during the decision phase can be then used to speed the development process.

scholarly journals Substation Decision-making Platform Based on Artificial Intelligence

2021 ◽  
Author(s):  
Jianhua Qin ◽  
Xueqiong Zhu ◽  
Zhen Wang ◽  
Jingtan Ma ◽  
Shan Gao ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Logistic Regression ◽  
Quantitative Analysis ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Final Decision ◽  
Equipment Failure ◽  
Operational Data ◽  
Electrical Data

In view of the actual needs faced by the substation maintenance, this paper proposes a kind of substation decision-making platform based on artificial intelligence. The platform formalizes and integrates the basic data, electrical data and the operational data of the equipment, qualitatively triggers the maintenance task abide by the result of the logistic regression model, provides further results of data processing through quantitative analysis, and provides knowledge navigation to the operation guidance of the corresponding equipment. The platform matches the electrical data with the inference engine stored in the knowledge base. If the data match the condition of the inference successfully, the inference is triggered and the action is executed. The result is provided to the relevant staff as a suggestion to assist the final decision. After the task is completed, the cause, effect and solution of the equipment failure are backfilled and expanded into the equipment base as a new instance.  

scholarly journals Strengthening legal protection against discrimination by algorithms and artificial intelligence

2020 ◽  
Author(s):  
Frederik Zuiderveen Borgesius
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Human Rights ◽  
Data Protection ◽  
Legal Protection ◽  
Indirect Discrimination ◽  
General Rules ◽  
Data Protection Law ◽  
The Right

Algorithmic decision-making and other types of artificial intelligence (AI) can be used to predict who will commit crime, who will be a good employee, who will default on a loan, etc. However, algorithmic decision-making can also threaten human rights, such as the right to non-discrimination. The paper evaluates current legal protection in Europe against discriminatory algorithmic decisions. The paper shows that non-discrimination law, in particular through the concept of indirect discrimination, prohibits many types of algorithmic discrimination. Data protection law could also help to defend people against discrimination. Proper enforcement of non-discrimination law and data protection law could help to protect people. However, the paper shows that both legal instruments have severe weaknesses when applied to artificial intelligence. The paper suggests how enforcement of current rules can be improved. The paper also explores whether additional rules are needed. The paper argues for sector-specific – rather than general – rules, and outlines an approach to regulate algorithmic decision-making.

scholarly journals A fuzzy-TOPSIS model for maintenance outsourcing considering the quality of submitted tender documents

2021 ◽  
Vol 23 (3) ◽  
pp. 443-453
Author(s):  
Maysa Alshraideh ◽  
Shereen Ababneh ◽  
Elif Elcin Gunay ◽  
Omar Al-Araidah
Keyword(s):  
Decision Making ◽  
Selection Criteria ◽  
Fuzzy Topsis ◽  
Final Decision ◽  
Proposed Model ◽  
Maintenance Outsourcing ◽  
Multiple Experts ◽  
Decision Making Model

The paper provides a multiple-experts Fuzzy-TOPSIS decision-making model for the selection among maintenance contractors based on the quality of tendering documents. The study introduces a set of selection criteria utilizing benefit and cost criteria from literature. The proposed model aggregates subjective linguistic assessments of multiple experts that express their opinions on the degree of importance of criteria and allows multiple decisionmakers to evaluate the compliance of contractors’ documents. For a case study, the model is applied to select among contractors tendering to maintain the heavy-duty cranes of an international steel company from literature. Several decision-making scenarios are investigated, and major changes in the final decision are observed. The changes in obtained results illustrate the need to better address uncertainties in rating and tendering an overqualified contractor at a higher cost.

scholarly journals FORMAL AND DAILY CARE DECISION-MAKING INVOLVEMENT IN AFRICAN-AMERICAN DEMENTIA DYADS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S915-S915
Author(s):  
Kalisha Bonds ◽  
MinKyoung Song ◽  
Karen Lyons ◽  
Martha Driessnack
Keyword(s):  
Decision Making ◽  
African American ◽  
Decision Maker ◽  
Sense Of Self ◽  
Final Decision ◽  
The Novel ◽  
Structured Interviews ◽  
Daily Care ◽  
Care Decision

Abstract Decision-making involvement (e.g., verbal and/or nonverbal communication) of persons with dementia (PWD) has been associated with quality of life of PWDs and their caregivers, underscores personhood, and reduces ethical dilemmas for caregivers regarding the PWD’s care. Yet, no study has explored the decision-making involvement in formal and daily care of both members of African-American dementia dyads (i.e., African-American PWDs and their African-American caregivers), limiting our understanding of how these dyads navigate decision-making during the dementia trajectory. This study took a closer look through in-depth, semi-structured interviews with African-American dementia dyads as they reflected on their decision-making surrounding formal and daily care. A pilot study of five dyadic interviews, each averaging 45 minutes, was completed. We used a combination of quantitative content analysis, decision-making matrices and I-poems created from I-statements of the dyad regarding their decision-making involvement. Decision-making matrices (i.e., diagrams of the degree of sharing, the balance of power within the dyad, and the final decision maker in formal and daily care) were constructed across interviews. The pairing of traditional analyses with the novel use of I-poems traces participants’ sense of self, ensuring their voice is retained. There was agreement within all five dyads regarding the final decision maker(s) in formal and daily care. Between dyads, daily decision-making involvement was led by African American PWDs; whereas, formal care decision-making involvement of African American PWDs varied. Findings highlight the importance of a deeper understanding of formal and daily care decision-making involvement within and between African-American dementia dyads and potential clinical implications.

implementasi model pengambilan keputusan dalam kepemimpinan suatu sekolah

2019 ◽  
Author(s):  
Elvi Gustheana ◽  
Hade Afriansyah ◽  
Rusdinal
Keyword(s):  
Decision Making ◽  
School Leaders ◽  
Educational Institution ◽  
Good Decision ◽  
Analytic Tool ◽  
Decision Making Models ◽  
The Right ◽  
Decision Making Model

In leading an institution, especially an educational institution, it is necessary to have practive, innovative and apropriate policies in every problem – the problem faced. In leading a school, the leader, namely the principal, must understand the models of good decision makingthat can improve the quality of the school and raise the name of the school. In bulding good leadership in a school it is necessary to make the right decisions made by the school leaders, and in running a school, the right decisions are needed which can be an alternative in every problem faced. Taking this decision is also a plan that results in every implementation running smoothly so that leadership in a school goes well and properly. This paper focus on the decision making models which are initially applied in the economic, politic and psychology science. Only a few papers explore this issue, most of its reveal about the result study or the output instead of discussing the process of decision making. Discussion about the usage of decision making model as the analytic tool and the application of the model is quite few.

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