Abstract
Notwithstanding the apparent hyperbole about AI promises for
judicial modernization, there arise deep concerns that span from
unfairness, privacy invasion, bias, discrimination to the lack of
transparency and legitimacy, etc. Likewise, critics branded their
application in the judicial precincts as ethically, legally, and
technically distressing. Accordingly, whereas there is already an
ongoing transparency debate on board, this paper attempts to revisit,
extend and contribute to such simmering debate with a particular focus
from a judicial perspective. Since preserving and promoting trust and
confidence in the judiciary as a whole appears to be imperative,
it uses a searchlight to explore how and why justice algorithms ought to
be transparent as to their training data, methods, and outcomes. This
paper also ends up delineating the tentative paths to do away with
black-box effects and suggesting the way out for the use of algorithms
in high-stake areas like the judicial settings.
