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)
Principios de uso de plataformas de mediación basadas
en inteligencia artificial para resolver conflictos
familiares
Elena Kirillova 1
, Valentin Tkachev2
, Olga Kovaleva 3
, Ruslan Telegin4
,
Aleksandr Timkin5
1
Universidad Estatal del Suroeste, Kursk, Federación Rusa.
E-mail: debryansk@mail.ru / ORCID: https://orcid.org/0000-0001-7137-901X.
2
Universidad Estatal del Suroeste, Kursk, Federación Rusa.
E-mail: valentin_t71@mail.ru / ORCID: https://orcid.org/0009-0008-8731-5035.
3
Universidad Estatal de Orenburgo, Orenburgo, Federación Rusa.
E-mail: radaurist@mail.ru / ORCID: https://orcid.org/0000-0003-0668-1946.
4
Universidad Estatal del Sudoeste, Kursk, Federación Rusa.
E-mail: gpkursk@yandex.ru /ORCID: https://orcid.org/0000-0002-3564-9120.
5
Universidad Estatal del Suroeste, Kursk, Federación Rusa.
E-mail: timkin_a_a@mail.ru / ORCID: https://orcid.org/0009-0007-7179-4134.
Resumen. El rápido desarrollo de la tecnología permite integrar la inteligencia
artificial en la resolución previa de litigios entre cónyuges. La IA, sus ventajas e incon-
venientes y la necesidad de minimizar las consecuencias negativas de su uso han sido
objeto de intenso debate. El artículo presenta los resultados de un estudio destinado a
desarrollar un sistema de principios para el uso de plataformas de mediación impulsadas
por IA en la resolución de disputas familiares. El objetivo principal es analizar las ventajas
e inconvenientes de dichas plataformas y elaborar principios para el uso eficaz de la IA
en la fase previa al juicio. El estudio se basa en el análisis de investigaciones seleccionadas
según criterios específicos y examinadas cuidadosamente mediante métodos de analogía
y comparación. Los resultados muestran las características clave de las plataformas im-
pulsadas por IA, incluidas ventajas como la rapidez, la eficacia, la accesibilidad y la obje-
tividad. Las desventajas incluyen la violación de la confidencialidad, el riesgo de errores y
la falta de flexibilidad y capacidad de respuesta emocional. Los principios para el uso de
la IA en la mediación incluyen el respeto de la legalidad, la objetividad, la transparencia,
la precisión, la fiabilidad, la protección de datos, el apoyo al aprendizaje y el desarrollo,
el control del usuario y el cumplimiento de las normas éticas.
Palabras clave: mediación, tecnologías digitales, inteligencia artificial, principios de utilización
de la inteligencia artificial, acuerdos, derechos, responsabilidades.
Recibido: 03/06/2024 ~ Aceptado: 10/10/2024
INTERACCIÓN Y PERSPECTIVA
Revista de Trabajo Social
ISSN 2244-808X ~ Dep. Legal pp 201002Z43506
DOI: https://doi.org/10.5281/zenodo.14031006
Vol. 15 (1): 67 - 74 pp, 2025
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68 Kirillova, Tkachev, Kovaleva, Telegin, TimkinInteracción y Perspectiva. R evista de Trabajo S ocial V ol. 1 5 ( 1 ) : 2 0 2 5
Principles of using mediation platforms based on artificial
intelligence in resolving family disputes
Abstract. The rapid development of technology allows integrating artificial intel-
ligence into the pre-trial settlement of disputes between spouses. AI, its advantages
and disadvantages, and the need to minimize the negative consequences of its use have
been the subject of intense debate. The article presents the results of a study aimed at
developing a system of principles for using AI-powered mediation platforms to resolve
family disputes. The main objective is to analyze the advantages and disadvantages of
such platforms and to develop principles for the effective use of AI at the pre-trial stage.
The study is based on the analysis of research selected according to specific criteria and
carefully examined using analogy and comparison methods. The results show the key
features of AI-powered platforms, including such advantages as speed, efficiency, ac-
cessibility, and objectivity. The disadvantages include a breach of confidentiality, risk
of errors, and lack of flexibility and emotional responsiveness. Principles for using AI
in mediation include respect for legality, objectivity, transparency, accuracy, reliability,
data protection, support for learning and development, user control, and compliance
with ethical standards.
Key words: mediation, digital technologies, artificial intelligence, principles of using artificial
intelligence, agreements, rights, responsibilities.
INTRODUCTION
Mediation platforms based on artificial intelligence (AI-powered platforms) are becoming a
popular tool and promising technological achievement in resolving family disputes. With the help
of AI-powered mediation platforms, it is possible to resolve conflicts extrajudicially, reach a com-
promise, and come to an agreement (Garcia, D., 2017). Mediation can be useful in resolving family
disputes as it helps the parties maintain the relationship and find a solution that is acceptable to
both of them. Mediation platforms using AI algorithms can optimize the mediation process, reduce
costs, and increase the efficiency of all stages of the parties’ reconciliation (Han et al., 2021). Such
platforms use intelligent chatbots in the form of virtual assistants that interact with spouses, help
analyze their problems, and come to an agreement. AI-based virtual assistants provide constant
feedback and help the parties reach an agreement without deviating from the chosen course of me-
diation (Collini et al., 2024).
AI-powered systems are capable of learning, gaining experience, processing natural language,
and recognizing patterns. Based on this, they can offer optimal solutions and predict the outcome of
agreements between the parties. However, the use of AI-powered platforms in mediation has certain
risks. To minimize them, it is necessary to develop principles for using AI in the pre-settlement of
family disputes. The topic of AI-driven mediation is controversial. Scholars highlight the main fea-
tures of the pre-trial consideration of family disputes using AI and offer various options for increas-
ing the efficiency of AI-powered platforms (Bezerra & Almeida, 2020). Therefore, further research
in this area is relevant and promising, as well as practice-oriented.
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)
Principios de uso de plataformas de mediación basadas en inteligencia artificial
para resolver conflictos familiares 69Vol. 15(1) enero-marzo 2025/ 67 - 74
LITERATURE REVIEW
Scholars consider using AI-powered mediation platforms to resolve disputes in family law.
According to experts, such platforms can optimize the mediation process and have the following
advantages:
– Speed and efficiency: using AI allows to speed up the mediation process since algorithms
can analyze large arrays of data and quickly provide solutions (Conley Tyler & McPherson, 2006;
Nasir et al., 2022);
– Objectivity: AI can be used to ensure objectivity and impartiality in the mediation process.
Unlike humans, machines are not subject to emotions and personal biases, which makes them ideal
arbiters (Jia & Stan, 2021; Martín-Núñez et al., 2023; Rainey & Tidwell, 2017; Leoni et al., 2022).
– Accessibility: AI-powered mediation platforms are accessible to all stakeholders, regardless
of their location or time of day. This allows for real-time mediation and significantly reduces costs
(Sela, 2018; Kumar & Kumar, 2021; Larson, 2010).
However, some scholars claim that the integration of AI-powered platforms into the media-
tion process for resolving family disputes may raise concerns. The main disadvantages of using AI-
powered platforms include:
– Breach of confidentiality: when processing personal data and information, a leak may occur.
It is necessary to ensure the protection of personal data from unauthorized access and misuse during
the mediation process (Nazir et al., 2023; Kafeza, 2021; Zeleznikow, 2021).
– Lack of flexibility: some situations may require the mediator to be flexible and able to adapt
to changing conditions. However, AI may not have such flexibility, especially if it is programmed for
a specific procedure (Cao et al., 2023; Chung, 2019).
– Risk of errors: Even though AI is becoming more accurate and reliable, there is still a risk of
errors and poor decisions. This can have negative consequences for the parties to the dispute (Garg,
2022; Ermakova & Frolova, 2021; Fabian, 2019).
According to experts, AI is not endowed with qualities that are inherent in humans, such as
emotionality (Frey & Osborne, 2013), empathy (Hirblinger, 2022), and the ability to show com-
passion (Alsamhan, 2023). These qualities in resolving family disputes are important for establish-
ing mutual understanding between the parties. Only people can comprehend non-verbal signals,
console, sympathize, and create a comfortable environment for communication. AI cannot react
emotionally to ongoing discussions. As a result, the parties may feel coldness and detachment, and
such a reaction can aggravate their conflict.
The study examines both the advantages and disadvantages of using AI-powered platforms in
resolving family disputes. It is also necessary to propose a system of principles that minimize the
risks of using such platforms in mediation.
The main objective of this study is to reveal the advantages and disadvantages of using AI-
powered mediation platforms in resolving family disputes and to propose a system of principles for
using AI in the pre-settlement of family conflicts.
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)
70 Kirillova, Tkachev, Kovaleva, Telegin, TimkinInteracción y Perspectiva. R evista de Trabajo S ocial V ol. 1 5 ( 1 ) : 2 0 2 5
METHODS
To study using AI in the mediation of family disputes, we analyzed works by scholars that have
a significant impact on scientific trends in this area. Our study relied on a desk review and compara-
tive analysis. We selected research that contained the terms “AI in mediation” and “risks of its use”.
To collect data, we relied on the PRISMA standards and conducted a bibliographic search in
Scopus, Web of Science, Google Scholar, and official legal sites. Materials were selected based on the
following criteria:
1) The author has at least three publications on the topics of AI in mediation, AI-powered plat-
forms in mediation, resolving family disputes using AI, and risks of using AI in mediation
over the past 10 years;
2) There must be more than 50% of research on legal topics in the total number of publications
by the author;
3) The author’s profile must indicate that their publications are thematically related to legal
sciences;
4) The author’s scientific works must have been written between 2014 and 2024.
Using this approach, we initially selected more than 158 publications.
This was followed by filtering that included reading the full texts of the articles to identify the
most relevant ones. After careful sampling, 33 papers were selected.
Then we analyzed the selected works and, based on our analysis, formulated the principles of
using AI before the judicial settlement of family disputes and minimizing the associated risks.
RESULTS
The first attempts to use AI in dispute resolution were made back in the 1970s (Bains et al.,
2001). Today, AI is widely used in legal proceedings. In the UK, AI predicts a possible decision on
releasing suspects on bail. In the USA, it predicts the risk of crime-specific reoffending. In China, it
analyzes judicial precedents and predicts court decisions. In Western Europe, digital courts use AI
(Fanni et al., 2020). Mediation is a new area of AI application in resolving family disputes. Family
disputes have their specifics. However, their resolutions are standard and standardized, which allows
one to train and use AI-powered platforms to resolve family conflicts at the pre-trial stage. Training
is important for AI-powered platforms and includes the following aspects:
1) Using large amounts of data for training: for AI to learn and develop, it needs to use large
arrays of data, including legal precedents and agreements concluded between spouses.
2) Using machine learning and deep learning enables AI to automatically extract patterns and
dependencies from data, which makes it more accurate and efficient.
3) Integrating with other technologies: AI should be integrated with other technologies such as
sensors, robotics, and the Internet of Things to collect and analyze data in real time and im-
prove performance.
4) User feedback plays an important role in the training and development of AI. It allows systems
to learn from mistakes and improve their results.
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)
Principios de uso de plataformas de mediación basadas en inteligencia artificial
para resolver conflictos familiares 71Vol. 15(1) enero-marzo 2025/ 67 - 74
The principle of constant training and development of AI is fundamental. Without constant
training, AI-powered platforms cannot analyze new legislative acts and judicial precedents and make
appropriate decisions. AI must be trained on unbiased and representative data to avoid systematic
errors or biases. This includes collecting data from a variety of sources and considering different
opinions (Kirillova et al., 2023).
AI should strive for accurate predictions and correct decisions. It is important to have well-
structured and verified data and to use suitable algorithms and data processing methods. Thus, the
principle of accuracy and reliability must ensure that the rights and interests of the parties to the
dispute are respected.
According to o9ur analysis, the use of AI-powered platforms in mediation has several advan-
tages, including speed and efficiency (Conley Tyler & McPherson, 2006; Nasir et al., 2022; Birn-
baum, 2023) and objectivity (Jia & Stan, 2021; Martín-Núñez et al., 2017; Sela, 2018; Kumar &
Kumar, 2021; Larson, 2010). Agreeing with this opinion, we highlight objectivity among the main
advantages of AI since it eliminates controversial and erroneous decisions. The decisions made by AI
are based on objective data and facts rather than subjective opinions or preferences. Therefore, the
principle of objectivity is fundamental in the use of AI-powered platforms.
Concluding agreements between spouses is sensitive and requires much attention. Thus, it is
important to minimize the risk of making erroneous decisions, which is facilitated by the correct
configuration of AI-powered platforms. The principle of quality and safety plays an important
role in the functioning of AI (Rusakova et al., 2021). This principle allows for the effective use of
AI in mediation through AI certification and legislative enshrinement of mandatory technological
requirements for AI-powered platforms. To ensure that the rights of spouses are respected in resolv-
ing family disputes, governments and regulators must develop and implement laws and standards
that guarantee data security and privacy and protect user rights.
DISCUSSION
In addition to the advantages of using AI-powered platforms when resolving family disputes,
experts identify certain disadvantages, including the lack of flexibility (Cao et al., 2023; Chung,
2019), a breach of confidentiality (Nazir et al., 2023; Kafeza, 2021; Zeleznikow, 2021), the risk
of errors (Garg, 2022; Ermakova & Frolova, 2021; Fabian, 2019), and the lack of emotional reac-
tions (Frey & Osborne, 2013; Hirblinger, 2022, Alsamhan, 2023). Considering these risks of using
AI-powered platforms, using AI in resolving family conflicts should be based on ethical principles,
such as respect for human rights, non-discrimination, and fairness (Cole & Blankley, 2006).
To minimize the risk of personal data leakage, it is necessary to follow the principle of data
protection when using AI in mediation. Information used to train and operate AI must be protected
from misuse and leakage.
In addition to these risks, AI-powered mediation platforms should be introduced into the legal
field; therefore, the possibility of using AI in mediation processes should be established in legal acts.
At the moment, experts note the lack of legislative regulation of AI-powered platforms both at the
judicial and pre-trial stages (Zhang et al., 2021). The next principle of using AI-powered platforms
in mediation follows from the principle of legality. In legal proceedings, AI must be used in accor-
dance with the law and must not violate citizens’ rights and freedoms.