Algorithms are increasingly being employed in our daily lives to make
decisions, and the manipulation of algorithmic bias is becoming a serious worry.
Because these decisions greatly impact people and society, they must be neutral and
fair. The purpose of this study is to raise awareness of the potential drawbacks of
algorithmic bias reduction. Algorithmic bias manipulation can have a wide range of
negative social consequences. It has the potential to discriminate against or favor
specific outcomes for certain groups of individuals. This method may result in inequity
and social injustice. Biased algorithm manipulation can have serious repercussions for
persons and society. To lessen the impact, steps need to be taken. Algorithmic bias
modification has a wide range of applications. It can be used to target certain racial or
ethnic groups, or it can be used to promote specific results, such as higher earnings.
One disadvantage is that algorithmic bias manipulation might be difficult to identify
and prevent. It might be difficult to determine whether or not algorithms are prejudiced
because they are often highly complicated and advanced. The manipulation of
algorithms to introduce bias has serious ramifications for people and society. It is
critical to implement mitigation measures. Algorithm manipulation to introduce bias is
a critical issue that can hurt both society and individuals. Understanding and protecting
against the possibility of manipulating algorithmic bias are crucial.
Keywords: AI algorithms, Algorithms bias, Manipulation, Machine learning, Society, Social network.
