APQ - APPON PHILOSOPHICAL QUARTERLY

It has become a common knowledge that Artificial Intelligence (AI) is a multi-purpose technological algorithm, with the potentials of recreating itself. These algorithms are raising several ethical, political, and social issues which are reshaping the society against conventional understanding of justice, autonomy, and governance. The central problem of this paper lies in the opacity of AI-driven decisions, which often reproduce or even exacerbate existing inequalities. AI systems created and used by governments and businesses, in particular, run the risk of sustaining prejudice in fields including finance, employment procedures, healthcare, and criminal justice. These issues raise the question of who is to be held responsible for the results of AI, particularly when those systems function in "black-box" forms that make it difficult to understand the reasoning behind their choices? The findings imply that the unequal distribution of information and power, which gives a select group of governments and tech firms monopolies over AI development and governance, is the basis for AI politics. The paper uses critical, analytic and evaluative methods to show that AI has the capability of building a just and a humane society, these prospects can be explored for political or democratic process. The paper concludes that democratizing AI research and governance with a focus on accountability, transparency, and the inclusion of different perspectives in AI-related policy-making is necessary to address the politics of artificial intelligence.

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