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5 Indon. J.L.S. i (2024)

handle is hein.journals/ijls5 and id is 1 raw text is: 

Indonesian Journal of Law and Society (2023) 4:2 i-iv
ISSN 2722-4074 I DOI: 10.19184/ijls.v5il.48070
Published by the University of Jember, Indonesia
Available online 30 March 2024

The   Intersection of Al Advancements in Judicial
Systems and Media Trials

Editor's Introduction

Evyta  Rosiyanti Ramadhani,   University of Jember

      In  the ever-evolving  landscape  of jurisprudence, the  integration of
technology, particularly Artificial Intelligence (AI), has become increasingly
prevalent, reshaping the dynamics of judicial proceedings and legal discourse
worldwide.   Concurrently, the  phenomenon of media trials has gained
momentum, particularly   in countries like the United  States and the United
Kingdom,  where  media influence often intersects with legal processes.
      When  talking about technological advancements, especially in the context
of Artificial Intelligence, we often get caught up in thinking that technology is a
neutral and objective entity.1 Advancements in Al have revolutionized various
aspects of judicial systems, promising efficiency, accuracy, and accessibility.
From  case management   to legal research and predictive analytics, AI-powered
tools  have  emerged   as  indispensable assets  for legal  professionals. In
adjudication, Al algorithms are increasingly utilized for tasks such as document
analysis, evidence  evaluation, and  even judicial decision-making  in  some
contexts.
      One  of the most  notable applications of Al in judicial settings is the
implementation  of predictive analytics for case outcomes. By  analyzing vast
repositories of legal data, Al algorithms can forecast the potential results of legal
proceedings, aiding judges in assessing risk factors and informing their decisions.
Additionally, AI-driven platforms facilitate the automation of routine legal tasks,
streamlining processes and reducing the burden on judicial resources.
      With  Al, decision-making can be based  on objective and consistent data
analysis, without being influenced by personal emotions or prejudices. However,
on the other hand, critics of Al point out that Al is a technological product that,
while sophisticated, is not equipped with human emotions  and intuition. They
argue  that emotions, especially compassion, play  an important role in legal
decision-making. A human  judge can weigh  and understand a case's social


' Vincent C Muller, Risks of General Artificial Intelligence (2014) Vol 26:No 3 Journal of Experimental &
Theoretical Artificial Intelligence 297-301.

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