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            that would otherwise take many human beings to undertake with a much longer time.
            For instance, machine translation of documents where the algorithms allow the computer

            to work rapidly in identifying words and sentences, matching them against its dictionary-
            database, counterchecking against a set of data containing ‘grammatical rules’ which

            have been trained by human to teach the AI to translate it more accurately. This way,
            the machine can distinguish ‘dying to see you’ being relating to eager anticipation to
            meet someone rather than to do with death.

                    However, could AI wholly substitute human arbitrators? Rather, we should ask

            ourselves first whether in an arbitration or litigation we are willing to be subjected to
            the procedures of feeding our pleadings and arguments into a machine for it to churn
            out an outcome basing on algorithms. The use of AI in decision making has been cited

            to include advanced case-law search engines, assistance in drafting needs, analysis and
            categorisation of contracts according to criteria and detection of divergence or
            incompatibility.  These are not tasks out of science fiction books or films but in fact,
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            they are helpful tools where without which, it will take laborious efforts manually.
            At its most basic level, automation and machine assistance could perform beneficial
            ‘smart’ tasks such as data analytics in dispute resolution, for instance, to compare data,

            locate specific keywords from within documents or emails and perform data analysis.
            The use of AI in judicial decision-making is also largely thought not to be making the

            decision or providing legal reasoning but as tools to identify the ‘correlations between
            different parameters of a decision.’  This can also be helpful in international arbitration
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            which commonly involved arbitrators having to deal with governing laws of the

            contractual dispute which are foreign to them.

                    Another aspect is ‘predictive justice’ where AI due to its ability to process a vast
            amount of judicial decisions rapidly to generate the outcome in a particular case.
            In a report by the Secretary-General of the Council of Europe, predictive justice is said




                    11  Council of Europe, ‘European Commission for the Efficiency of Justice (CEPEJ) European Ethical
            Charter on the Use of Artificial Intelligence in Judicial Systems and Their Environment’ <https://rm.coe.int/ethical-
            charter-en-for-publication-4-december-2018/16808f699c> para 15
                    12  ibid 29.



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