Artificial intelligence takes over courtrooms: Will robots soon become judges?
In a world that is increasingly shaped by technology, the justice system is also not afraid of innovative developments. The use of artificial intelligence (AI) in courtrooms is no longer science fiction, but is already being tested in some countries. But what does it mean when algorithms and machines are used in an area that traditionally depends on human judgment, empathy and ethics?
How is AI used in the justice system?
The use of AI in the justice system occurs in several areas:
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Evidence analysis : AI systems can go through large amounts of evidence, such as documents, videos, and DNA analysis, in a fraction of the time it would take a human. For example, they can analyze surveillance videos or search text messages for specific keywords.
Predicting recidivism : In the United States, algorithms such as COMPAS are used to predict the likelihood of a defendant reoffending. These assessments can play a role in determining prison sentences or parole decisions.
Legal advice and document creation : AI applications such as “DoNotPay” or “ROSS Intelligence” help lawyers and citizens to create legal documents or find information about laws and precedents.
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Sentence recommendations : Some countries, including Estonia and China, are testing AI systems that can provide sentencing recommendations to judges. In simple cases, AI could even make judgments on its own.
opportunities and advantages
The use of AI in the justice system offers many advantages that could make the legal system more efficient and accessible:
Time savings : Court proceedings that drag on for months or years could be drastically shortened by AI's rapid data processing.
Cost reduction : The use of AI could reduce the costs of litigation and legal advice, which could particularly benefit less wealthy citizens.
Objectivity : In theory, AI could help reduce bias and discrimination in the justice system because algorithms are not influenced by emotions or biases.
criticism and challenges
Despite the advantages, there are numerous concerns surrounding the use of AI in the justice system:
Algorithm error susceptibility : Algorithms are only as good as the data they were trained with. Biased or incomplete data sets could cause AI systems to make erroneous or biased decisions.
Lack of transparency : Many AI systems operate as so-called “black boxes” where even developers cannot understand exactly how a decision was made. This is problematic in an area that requires accountability and traceability.
Ethics and empathy : Justice is more than just the application of laws. It requires ethical judgment and consideration of the individual circumstances of a case. Can an AI really understand what it feels like to be a victim or accused?
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Loss of human jobs : The use of AI could put many jobs in the justice system, from lawyers to judges, at risk, raising questions about social responsibility.
Legal framework : Many countries still lack clear laws and guidelines for the use of AI in the justice system. For example, who is responsible if an AI makes an incorrect decision?
practical examples
China : AI is already being used in “intelligent courtrooms”. Systems such as “Smart Court” help judges to process cases more quickly and prepare decisions. In some cases, AI has even made judgments directly.
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Estonia : The country is testing an AI system that automatically decides disputes with a value of less than 7,000 euros. The AI is used as an arbitrator, with the parties having the opportunity to challenge the decision.
USA : The COMPAS algorithm is used to calculate offenders' likelihood of recidivism. However, this system has been criticized for racial bias because it often classified African-American defendants as higher risk than white defendants.