  Due to the emergence of data-driven technologies in Aotearoa New Zealand that
use M\=aori data, there is a need for values-based frameworks to guide thinking
around balancing the tension between the opportunities these create, and the
inherent risks that these technologies can impose. Algorithms can be framed as
a particular use of data, therefore data frameworks that currently exist can be
extended to include algorithms. M\=aori data sovereignty principles are
well-known and are used by researchers and government agencies to guide the
culturally appropriate use of M\=aori data. Extending these principles to fit
the context of algorithms, and re-working the underlying sub-principles to
address issues related to responsible algorithms from a M\=aori perspective
leads to the M\=aori algorithmic sovereignty principles. We define this idea,
present the updated principles and subprinciples, and highlight how these can
be used to decolonise algorithms currently in use, and argue that these ideas
could potentially be used to developed Indigenised algorithms.
