Artificial Intelligence & Machin Learning in the Financial Markets: Importance of Integrity and Ethical Use

During 1956 summer, an important event in the history of technology occurred on the campus of
Dartmouth College in the United States when a team of researchers officially founded artificial
intelligence research field.
Since then, advances in machine learning and artificial intelligence have grown gradually, but in
the 2020’s, when these technologies found successful uses in both business and academia, there
has been a notable boom in these fields. The financial market revolution has been accelerated by
artificial intelligence and machine learning due to their enhanced efficiency and predictive
capabilities. However, the introduction of machine learning and artificial intelligence into the
financial industry brought up a number of ethical questions regarding its applications and potential
effects on the integrity of financial markets.
In this literature review paper, we will review the ethical considerations in implementing artificial
intelligence and machine learning technologies in financial markets in relation to transparency,
accountability, and market manipulation to assess market integrity. Additionally, will see if
financial market participants contribute to fostering an ethical culture that seeks to align
technological advancement with ethical principles in the financial sector.