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ISSN: 2692-5206, Impact Factor: 12,23
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ROBOT JUDGES, ARTIFICIAL INTELLIGENCE, BIAS MITIGATION AND THE
FUTURE OF FORENSIC ANALYSIS
Mirzakhakimova Shodiyabegim Mirzohid kizi
Tashkent State University of Law
4th year student of the Faculty of International Law and Comparative Law
Abstract:
This article thoroughly examines the role and prospects of using robot judges and
artificial intelligence in the judicial system. It discusses how robot judges can contribute to
more efficient and rapid decision-making processes while minimizing human biases that may
compromise fairness. However, the article also addresses the risks associated with these
technologies, including potential errors, algorithmic uncertainties, a lack of human sensitivity,
and issues of accountability. The article highlights the importance of carefully analyzing the
legal, ethical, and social challenges inherent in the implementation of artificial intelligence in
judicial processes. The author emphasizes that the activities of robot judges should not conflict
with fundamental principles such as human rights, fairness, and the rule of law. At the same
time, it is noted that these technologies can play a significant role in streamlining judicial
processes, providing swift data analysis, and ensuring legal stability. In particular, the article
examines foreign practices of employing robot judges and explores the prospects for integrating
them into Uzbekistan’s judicial system. In conclusion, the article offers balanced insights into
the opportunities and potential risks of using robot judges and artificial intelligence in the future
of judicial analysis. It underlines the importance of establishing clear legal frameworks and
implementing cautionary measures to ensure that these technologies serve justice effectively
without undermining human rights and fundamental freedoms.
Keywords:
robot judges, artificial intelligence, judicial analysis, justice, illegality, impartiality,
legal system, digital judicial process, judicial reform, automated decision-making, legal stability,
technology and law, algorithmic analysis, reducing the burden of judges, legal security,
transparency, responsibility, risk of error, quality of judicial decisions, combating corruption.
Introduction
“If an AI can make decisions as good as or better than a human judge, then it should be
seriously considered for use as a judge.”
Eugene Volokh, Professor of Law, UCLA
One of the most important factors in the development of humanity in the 21st century has been
the widespread development of artificial intelligence (AI) technologies. These technologies
have led to major changes in the fields of industry, healthcare, finance and education. In
particular, in recent years, the introduction of artificial intelligence into the legal system, in
particular the judicial system, has raised not only technical, but also philosophical, ethical and
social issues. Scientific research and experimental projects on the concept of a “robot judge”
are increasingly increasing worldwide. This graduation thesis is devoted to a comprehensive
study of this urgent issue, the activities of robot judges and the future role of courts. Currently,
the judicial system is developed in many countries of the world. There is a lot of work, but the
resources of judges and other judicial bodies are limited. In such conditions, artificial
intelligence technologies are being used to automate judicial proceedings, speed up proceedings
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ISSN: 2692-5206, Impact Factor: 12,23
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and reduce errors due to the human factor. “Smart” judicial systems of various levels are being
introduced in developed countries. For example, the Republic of Estonia has been testing an
experimental AI judge to consider small economic claims since 2019. China has also widely
implemented “Smart Court” systems, and the practice of developing court decisions in some
Internet disputes using artificial intelligence has been established. There are different opinions
about robot judges. On the one hand, their introduction will make the judicial system faster,
more transparent and more efficient. On the other hand, these technologies raise issues related
to legal justice, human rights, ethical responsibility and the risk of algorithmic errors. In
particular, aspects such as humanity, empathy, and taking into account the social context in
judicial decisions may not be sufficiently expressed by AI. The main purpose of this graduation
thesis is to analyze the activities of robot judges from a legal, technical and ethical perspective,
and to determine their current place in the judicial system and their future prospects. In recent
years, the trend of modernization of public administration and law enforcement using digital
technologies and artificial intelligence tools has been increasing. In particular, in the judicial
system, opportunities are emerging to reduce the duration of proceedings, reduce human errors,
and automate documentation using modern technologies. According to statistics, by 2023, more
than 70 percent of the proceedings in the judicial system of the European Union will be
digitalized. In China, more than 3 million cases were considered remotely through the “smart
court” system in 2021. The scientific novelty of the study lies in the fact that it
comprehensively covers the modern approach to the concept of a robot judge, the role of AI
algorithms in legal decision-making, and the future transformation of courts. In addition, based
on an analysis of existing experience, legal and ethical issues in the introduction of robot judges
are identified and proposals are developed to eliminate them. The advantages of judicial
systems based on artificial intelligence are undoubtedly speed, efficiency, impartiality, and the
implementation of processes free from bureaucracy. However, this There are also problematic
aspects of the technology: algorithmic errors, lack of transparency, moral irresponsibility, and
disregard for human contexts. For example, the COMPAS algorithm, widely used in the United
States, was found to give higher risk scores for black people. This raises the issue of
algorithmic discrimination. American scientist Daniel Martin Katz said, “With the help of
artificial intelligence, it is not only possible, but also possible to predict court decisions with
great accuracy. This allows us to analyze what criteria human judges use when making
decisions.”1 The Republic of Uzbekistan is also actively participating in digital transformation
processes. The “Digital Uzbekistan-2030” strategy pays great attention to the automation of
public services, including the digitalization of the justice system. In this regard, the issue of
introducing artificial intelligence into the judicial system and shaping the activities of robot
judges in the future is becoming one of the topical issues. The main goal of this study is to
study the legal, technological and ethical foundations of the concept of robot judges in
Uzbekistan and to scientifically analyze the direction in which the future functioning of the
judicial system may develop. It will also objectively study how robot judges can replace the
human factor, their impact on justice, legal trust and independence. US lawyer Eugene Volokh
writes about this as follows: “If algorithms can make decisions faster and more accurately than
humans, why don’t we appoint them to judicial positions?” At the same time, other scholars,
including Anthony Casey and Anthony Niblett, emphasize that these technologies can reduce
bias in proceedings, but at the same time they also mention the risk of making wrong decisions.
Robot judges can increase impartiality due to their lack of human emotions. John Kleinberg and
colleagues say in their study: “With the help of algorithmic adjudication, the entire decision-
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ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 05,2025
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page 2188
making process can be made transparent, which will help to identify and reduce
discrimination.” However, such systems lack human empathy and contextual understanding,
which can lead to negative outcomes in complex legal cases. 2 Early experiments with robot
judges are currently underway in Estonia, China and the United States. For example, some
Chinese courts have introduced artificial intelligence systems that review claims online and
issue judgments. These systems offer fast and efficient solutions to small financial claims.
Estonia is officially recognized as one of the first countries to develop an “AI judge” program.
At the same time, democratic oversight, legal accountability and human rights protection
remain important issues in the activities of robot judges. Geoffrey Vos, the Chief Justice of
England and Wales, puts it this way: “Protecting the right to decide by a human should be
included in human rights law.”
Discussion and Results
Artificial Intelligence (AI) is a set of technologies that enable computer systems to
independently perform functions characteristic of human intelligence: learning, logical
reasoning, problem solving, speech understanding, and decision-making. The term AI was first
officially used in scientific circles in 1956. This date is considered the official birthday of AI. A
summer seminar was held at Dartmouth College in New Hampshire, USA. This conference was
organized by the famous scientist John McCarthy. He first used the term AI here. John
McCarthy is called the father of AI. He said, “It is possible to create a machine that can
demonstrate intelligence in any way.” The Logic Theorist program created by Allen Newell,
Herbert Simon, and Clifford Shaw at the Dartmouth conference is considered the first practical
application of AI. This program was able to prove mathematical theorems. In their book
“Artificial Intelligence: A Modern Approach,” Stuart Russell and Peter Norvig define AI as
“the science of creating systems that think and act like humans.” They study AI in four
categories: systems that think like humans, act like humans, think logically, and act
purposefully. AI works primarily on data. It learns, analyzes, and improves itself on large
amounts of data. This process is called “machine learning.” For example, AI can learn a lot
from court cases and make legal judgments based on their content. A robot judge is an
algorithmic system based on artificial intelligence that is designed to perform some or all of the
functions of a human judge in a court of law. It can make decisions based on legal norms and
make legal assessments. Robot judges are currently being created to speed up court proceedings,
reduce human error, automate routine tasks, and assist judges. Czech writer Karel Capek first
used the word "robot" in his 1921 play "R. U. R. -Rossum's Universal Robots". In this play,
robots are produced in a factory and replace human labor. Eventually, they rebel. The word
"robot" comes from the Czech word "robota", which means "labor", "forced labor". In 1954,
American inventor George Devol received a patent for the first industrial robot. In 1961, his
robot, called "Unimate", was put into operation at a General Motors automobile plant. The
Unimate performed automated tasks in industrial processes (welding, part transfer). The
Unimate is recognized as the world's first working artificial robot. The European Union’s report
“The Impact of Artificial Intelligence on the Judicial System” (2019) classifies robot judges as
follows: “Al-based judicial decision-making systems are tools that support or replace human
judges in analyzing legal documents, assessing claims and drafting decisions.”4 Frank Pasquale,
in his work “The Black Box Society” (2015), emphasizes the importance of transparency and
human control of algorithmic decisions and is cautious about the use of robot judges in fully
automated trials: “Algorithmic decision-making in law may create opacity and this can
undermine the public’s trust in juctise.” In China, “robot judges” based on artificial intelligence
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Journal:
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have already been put into practice. The Hangzhou Internet Court uses artificial intelligence to
hear e-commerce disputes. 9 Estonia is testing AI judges in civil cases up to 7,000 euros. In the
USA and Europe, predictive programs based on computer analysis (for example, COMPAS - a
system for assessing the risk of crime) are widely used. The advantages of AI in the judicial
system are as follows: AI can analyze thousands of cases at the same time. This significantly
reduces the time for the court to consider cases. AI makes decisions that are devoid of human
emotions. This can reduce errors and bias in some cases. In judicial practice, decisions based on
AI can be statistically stable and consistent. AI can advise a human judge based on analytical
data, legal norms, and previous court decisions. However, there are a number of risks of making
a verdict based on AI: AI does not take into account such vague but important criteria as human
empathy and a sense of justice. Who is responsible if a robot judge makes a mistake? The
algorithm, the programmer, the judicial system? Many AI systems are like “black boxes”, that
is, it is not clear how the decision was formed. Some algorithms work on the basis of incorrect
data and, as a result, they are biased towards certain social groups. can make relatively unfair
decisions. A robot judge is an automated software tool based on artificial intelligence that
participates in the consideration of court cases. It is mainly used in the following areas:
Ordinary civil cases (alimony, fines, disputes arising from electronic contracts). Automatic
response systems (appeals to the court, application, complaint). Advisory systems (legal
positions based on legislation). Robot judges have not yet fully replaced judges. They work
more as assistants, but with the development of technology, these boundaries are expanding. AI
should not completely replace the activities of a judge. Because a human judge not only applies
legal norms, but also: understands the context, takes into account the situation of the party,
relies on the principles of humanity, morality and justice. Therefore, the future judicial system
may operate on the “human + AI” model: the human judge is the main decision-maker, AI-
analyst and advisor.
Attention to artificial intelligence is also increasing in Uzbekistan is increasing day by day.
There are also resolutions and decrees on this issue. However, there is no national concept for
the development of artificial intelligence, separate laws and codes. By the beginning of 2023,
more than 40 countries had adopted national strategies for the development of artificial
intelligence. These include the USA, Canada, the European Union, the UK, China, the Russian
Federation, Japan, Singapore and other countries. In addition, the first clear ethical standard in
the field of robotics, the “Guidelines for the Ethical Design and Use of Robots and Robotic
Systems”, was adopted in the UK in 2016. In Europe, the “European Union Ethics Directive”
prioritizes the goal of creating reliable and safe artificial intelligence. At the same time, similar
ethical initiatives are being developed in China, Canada, the USA and other countries. Such
processes will serve not only to develop artificial intelligence, but also to strengthen it legally.
By the President of the Republic of Uzbekistan In 2021, decisions were made on the
“Introduction of Artificial Intelligence Technologies”. Currently, the e-court system is being
developed and some administrative work is being digitized. In the future, AI may also be
introduced in Uzbekistan in the following areas: automatic analysis of court archives,
optimization of electronic document management, creation of AI systems that provide
analytical advice to judges. Artificial intelligence brings new opportunities to the judicial
system. It can facilitate human work, speed up court proceedings, and make the delivery of
justice more systematic. However, its full implementation without resolving ethical, legal, and
technical issues can be dangerous. Artificial intelligence does not have the ability to work on its
own. For its effective operation, it needs a large amount of data. Russia is generally seen as a
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country that takes a “use but be careful” approach to AI, and has embraced it with a grain of salt
in mind, considering its impact on national security. Since 2015, Russia has been investing in
the development of the “Safe City” project, a key component of which is a nationwide video
surveillance system equipped with automatic data transfer. As part of the project, about 170,000
cameras have been installed in Moscow. Many of them have facial recognition capabilities. The
growing confrontation with the West will only accelerate the spread of surveillance-oriented AI
software. Surveillance cameras, thanks to facial recognition technology, have proven their
effectiveness in the context of a global pandemic. The cameras transmit data to police
authorities in real time, and the data provided in this way is a key digital asset for the strong
enforcement of quarantine orders. According to reports, Moscow police were able to detect
several hundred violations of quarantine regulations using the data. While technology has been
effective as a tool in the fight against the deadly coronavirus, there is also a clear risk of misuse
or abuse of surveillance.
Artificial intelligence in the judicial process:
practical application and legal assessment of
robot judges
In recent years, artificial intelligence technologies have been actively used not only in the
economic and industrial spheres, but also in the judicial system. A number of countries around
the world are implementing the concept of robot judges to automate and accelerate judicial
activities. The use of artificial intelligence in the judicial system is increasingly developing
internationally. Thanks to artificial intelligence, today we are widely using its capabilities to
fully automate judicial processes, ensure justice, and accelerate processes in the judicial system.
When studying foreign experiences, we should first of all study the experiences of the United
States, which is a leading country and a wide user of artificial intelligence. The United States
leads the list of countries using artificial intelligence, according to statistics, by 2026 the field
of artificial intelligence will be valued at $ 299.64 billion. The US uses the COMPAS system to
analyze and recommend court decisions, which is used to assess the risk of prisoners
reoffending. Judges use this system to advise on sentencing. Artificial intelligence analyzes data
from laws and case law to help lawyers find important documents. The ROSS
INTELLIGENCE and LexisNexis platforms make it easier for lawyers to work with
documents.8 The use of artificial intelligence in China’s judicial system is actively developing,
and China is also widely using it to improve the efficiency of its legal system. For example,
some court cases are being resolved with the help of artificial intelligence. “Internet courts” are
based on artificial intelligence, and users can apply and resolve their disputes online. According
to statistics, in 2022-23, private investment in artificial intelligence in China will amount to $95
billion. The government is also actively investing in artificial intelligence. By 2027, the
country's government investment is expected to reach $38.1 billion, 9% of the world's total.
Estonia is testing the use of digital courts, which will provide judges with the ability to
automatically review cases when resolving small disputes, which will help save time and
money. The e-government system automates the process of applying to the court using artificial
intelligence. In Estonia, courts are analyzing data using artificial intelligence when making
judgments. For example, there are systems that provide recommendations for judges by
analyzing similar cases and previous decisions. This helps to issue court decisions quickly and
accurately, and also increases the efficiency of the system. In India, artificial intelligence is
being used to sort and prioritize documents in courts with a large number of cases. Supreme
Court Al Project The Supreme Court of India is currently testing artificial intelligence to
analyze court practices and reduce court proceedings. According to statistics, the Supreme
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Court of India is using AI technologies to translate important court decisions into local
languages, and more than 36,000 decisions have been translated into Hindi and more than
17,000 into Essay, which are available on the e SCR portal. The process of using AI in the
Canadian judiciary is being carried out in a careful phased manner. 2022 was a full year of
implementation of Canada's latest AI policy for the Federal Court. To date, no Chief Justice in
Canada has said a firm "no" to the use of AI in the courts. By 2024, it has issued guidelines on
the use of AI. These guidelines aim to ensure transparency, judicial independence and fairness
in the use of AI technologies in the judiciary. Digital transformation is changing all areas of the
world. Technologies such as artificial intelligence, big data, machine learning, and algorithmic
analysis play a leading role in this. Even a conservative system like the judicial system is not
immune to these changes. Today, forensic analytics is actively used by law enforcement
agencies, judges, lawyers, and researchers to improve legal decisions, monitor judicial activity,
and ensure justice. The main essence of forensic analytics is the digital analysis of court cases,
court decisions, court activities, and other relevant factors. Through these analyses, it is
possible to determine the current state of the judicial system, reduce the likelihood of erroneous
decisions, and increase the efficiency of the system. This chapter provides an in-depth analysis
of the future possibilities of forensic analytics, current problems, and ways to overcome them.
While traditional court decisions are often based on subjective opinions, new analytical
methods allow judges to base their decisions on concrete facts, statistics, and past precedents.
Cognitive AI models allow judges to analyze similar cases and make judgments that are
consistent with their outcomes. For example, the COMPAS (Correctional Offender
Management Profiling for Alternative Sanctions) system used in the United States is used to
predict the likelihood of reoffending. This system serves as an analytical tool that influences the
judge’s decision.
CONCLUSIONS AND SUGGESTIONS
By the 21st century, artificial intelligence technologies are widely penetrating all aspects of our
lives, including the legal sphere and the judicial system. Based on the analyses conducted
during this scientific study, statistical data, and international experience, it can be said that
artificial intelligence and robot judges can be an important tool in increasing the efficiency of
the judicial system, reducing errors due to the human factor, and strengthening citizens' trust in
the courts. However, there are a number of complexities and problems in the implementation of
this technology, which require in-depth study and solution. The main task of the judicial system
is to ensure justice. This process should be carried out not only technically correct, but also on
the basis of ethical, social, and legal criteria. Artificial intelligence, of course, can outperform
humans in tasks such as automating court cases, reducing the workload of judges, performing
rapid legal analysis, and predicting legal risks. But relying solely on algorithms to deliver
justice in the form of decisions poses a great risk. Human values, constitutional rights, and
criteria of impartiality may not always be fully taken into account by artificial intelligence. The
experience of a number of foreign countries analyzed in the study shows that artificial
intelligence is being used in different approaches. While AI technologies have been introduced
into judicial activities on a large scale in China, caution is a priority in Western countries. For
example, Estonia has introduced robot judges to handle small-scale disputes, but the power to
make a decisive decision still remains with a human judge. In France, AI systems play an
auxiliary role, and legal responsibility remains with humans. Such approaches confirm the need
for caution in introducing AI into the judicial system. Turning to the experience of Uzbekistan,
although a digital court system, electronic document management, and “e-court” systems have
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been introduced in the country, the full integration of artificial intelligence is still at an early
stage. Consistent reforms are expected in this area in the coming years. Significant steps are
being taken to digitize the judicial system through decrees of the President of the Republic of
Uzbekistan and relevant regulatory legal acts. However, it is necessary to deepen the scientific
and technical infrastructure for issuing decisions based on AI, algorithmic justice, and granting
legal status to robot judges. The main problems identified during the study are as follows:
1. AI systems issue decisions based on a database. If this data is biased or discriminatory, the
results may be unfair.
2. The legal force of decisions made by robot judges, the scope of their responsibility are not
clearly defined.
3. AI does not understand human emotions, feelings, and contextual details. Therefore,
decisions made solely through an algorithmic approach can sometimes be far from humane.
4. Judicial bodies lack the necessary technical base, qualified programmers, and judges to use
AI technologies.
5. AI models are required that can explain court decisions. Otherwise, citizens will not
understand how decisions are made, which will reduce trust. However, it is also necessary to
recognize the positive aspects. With the help of artificial intelligence: the workload of courts
will be significantly reduced; the speed of judicial review; the possibility of more impartial
decisions through statistics and document analysis increases; the provision of online services to
citizens improves. In the future, it is advisable to use robot judges only in the consideration of a
small number of disputes and fines, in document analysis, evidence management, and in the
adjustment of laws and practices. However, in decisive cases that affect human life and freedom,
human judges, not robots, should play the main role. International regulatory documents,
including the AI codes of ethics developed by the Council of Europe and the UN,
emphasize the need to constantly pay attention to the principles of “human control”,
“explainability” and “accuracy of responsibility” when using artificial intelligence. In
conclusion, artificial intelligence and robot judges are one of the important factors determining
the future of the judicial system, and their correct and targeted introduction will allow to
increase justice, transparency and efficiency. However, caution, a gradual approach and
constant monitoring are of great importance in this process. Optimal cooperation between
humans and artificial intelligence is currently one of the most pressing problems of the modern
legal system. The introduction of artificial intelligence technologies into the judicial system is
considered not only a technical achievement, but also the beginning of a new era of legal and
cultural changes. These changes are closely related to the requirements for reducing deep socio-
bureaucracy in the legal sphere, ensuring convenient and equal access to legal services,
minimizing human errors and ensuring procedural justice. It is these aspects that justify the
need to introduce robot judges and artificial intelligence. However, the modern judicial system
requires not only “mechanics: the application of law, but also behavior, morality, empathy and
understanding of the social context. It is these factors that are one of the main weaknesses of
robot judges. AI algorithms, in their current state, cannot sufficiently absorb human qualities -
for example, compassion, contextual assessment, principles of social justice. This sharply limits
the possibilities of robot judges, especially in sensitive areas such as civil, family, juvenile and
criminal cases. Another important aspect is that technologies based on artificial intelligence
often operate in the form of a “black box”, that is, they do not fully explain how the decision
was made. And the fact that court decisions are well-founded, understandable and verifiable is
an important requirement of a democratic legal state. If it is not known to the citizen how the
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court decision was made, this violates not only the principle of transparency, but also justice. In
this regard, fundamental questions arise:
1) artificial Are there legal and ethical grounds for the intelligence to make a fair decision?
2) Does the authority to make a court decision depend only on the inherent characteristics of the
human mind?
3) Who is responsible for the mistakes of a robot judge - the manufacturer, the judiciary or the
state?
The world scientific community has not yet been able to give a unanimous answer to these
questions. Therefore, today many countries are cautiously introducing artificial intelligence into
the judicial system. For example, the European Union, having developed the “Al Act” project
in 2021, declared the use of AI in the judicial system a “high-risk area” and stated that it
requires strict regulation in this area. Also, a special approach is needed for developing
countries, in particular Uzbekistan, on the issue of AI and robot judges. For these countries, the
limited technological development capabilities and resources, as well as the lack of clear
procedures in this regard in existing legislation, remain an important problem. Therefore, the
following strategic approaches are proposed:
1) Phased implementation - first, AI should be introduced for auxiliary functions (for example,
monitoring procedural deadlines, sorting archival documents, statistical analysis), and then
move on to more complex tasks.
2) A special law should be adopted that determines the legal force of decisions made by AI.
3) AI should develop ethical criteria for judicial proceedings with the participation of judges,
lawyers, programmers and representatives of civil society.
4) AI systems should be created on the basis of explainable AL models.
5) Regular monitoring of the operation of AI tools by independent experts, civil society and the
media should be established. At the same time, in scientific circles, the approach of considering
robot judges not as a complete alternative to human judges, but as an auxiliary tool is gaining
priority. In this regard, the “hybrid judicial system” model - that is, the joint work of artificial
intelligence and a human judge - is the most optimal solution.
Practical suggestions
1. Gradually recognize the legal subjectivity of artificial intelligence. First, develop an
international legal norm on granting the status of a legal subject under limited liability, first as
an “automatic legal instrument”.
2. Create a hybrid judicial system (human + AI). Decisions are analyzed in more depth through
the “duo-judge” model, where a person and AI jointly make decisions. AI analyzes facts and
laws, and a person evaluates ethical and contextual aspects.
3. Create a “Decision Coordination Module” that automatically checks the internal consistency
and compliance of court decisions with general practice using AI. This module identifies
differences in decisions made in similar cases and issues warnings to the judge (predictive
consistency check).
4. Implement an AI judicial system based on Ethical Neural Networks. These algorithms study
human moral principles and take them into account when making decisions (for example, based
on utilitarianism or deontological approaches).
5. Develop an international standard for the requirements of algorithmic interpretation of AI
judgments (Algorithmic Due Process). The basis on which each decision was made must be
fully disclosed, and mechanisms for appeal must be available.
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6. Create legal normative analysis systems based on AI and introduce a system for identifying
conflicts in legislation. The robot judge will identify discrepancies and conflicts between laws
and make recommendations to legislative bodies to eliminate them.
7. Introduce an “ethical audit” of the work carried out by AI. Every year, an independent ethics
council will analyze the work carried out by robot judges and publish open reports.
8. Model “career stages” in the judicial system for forecasting using AI. For example, using AI
to predict the likelihood of committing a crime, the likelihood of being investigated, and what
action will be taken in court.
9. Develop an “artificial empathy module” for robot judges. Through this module, AI can assess
not only facts, but also people’s mental state, stress level, and social context.
10. Establish a legal innovation center: “AI & Justice Lab” This center will develop
experiments, prototyping, ethical evaluation, and testing systems related to artificial intelligence
in the judicial system.
List of used literature:
I. References
1. 1. Mirziyoyev Sh. M. Erkin va farovon, demokrat of Uzbekistan davlatni birlashma barpo. –
Toshkent: O‘zbekiston, 2017. – 104 b.
1. 2. Mirziyoyev Sh. M. Tanqidiy tahlil, qaty tartib–intizom va shakhsiy zhavobgarlik – har bir
raxbar faoliyatning kundalik qoidasi bulishi kerak. – Toshkent: O‘zbekiston, 2016. – 56 b.
1. 3. Mirziyoyev Sh. M. Konun barqarorligi va inson manfaatlarini ta'minlash – yurt tarakkiyoti
va xalq farovonliging garovi. – Toshkent: O‘zbekiston NMIU, 2017. – 48 ball.
1. 4. Mirziyoyev Sh. M. Buyuk kelajagimiznimard va olijanob halqimiz bilan birga quramiz. –
Toshkent: O‘zbekiston, 2017. – 488 b.
II. Regulatory and legal documents
National legislative documents
2. 1. O'zbekiston Respublikasining Iqtisodiy protsessual kodeksi;
2. 2. O‘zbekistan Republikasining “Sud hujjatlari va boshqa organlari hujjatlarini ijrp etish
to‘g‘risida”gi Qonuni;
2. 3. Oʻzbekiston Respublikasining “Sudlar to‘g‘risida”gi Qonuni;
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