Algorithmic Governance: Analysing the Intersection of Artificial Intelligence, Political Institutions, and Human Values
DOI:
https://doi.org/10.56830/IJHMPS12202502Keywords:
Algorithmic Governance, Artificial Intelligence, Political Institutions, Ethical Framework, Human ValuesAbstract
Algorithmic governance brings unprecedented opportunities and great challenges to contemporary governance through the incorporation of algorithms and AI systems into democratic political institutions. This paper discusses how societies can leverage AI’s potential for improving political decision-making while keeping it in line with basic human values. Three main questions guide this analysis: what ethical values should frame AI governance, how do algorithmic systems affect political decisions, and what policy alternatives arise from their use? It highlights some critical tensions that are intrinsic to algorithmic governance, such as balancing institutional change with human rights protection, keeping meaningful human oversight in the face of rapidly changing technologies, and maintaining public trust alongside democratic legitimacy. Among other key risks are threats to fairness and accountability as well as erosion of citizens' confidence in government institutions. Effective governance requires a full understanding of how algorithms make decisions, the data they use, the processes they encapsulate, and the human actors involved. Rather than placing AI in the role of autonomous decision-makers, this work places human agents at the center of political processes with algorithmic systems as tools within humancentered frameworks. These challenges can be met by international institutional collaboration toward flexible regulatory frameworks and governance architectures that will accommodate technological evolution yet sustain democratic accountability. The ethical principles that are built into algorithmic systems fundamentally structure societal values and conditions.
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