Algorithmic Governance

Algorithmic Governance refers to the use of algorithms, data-driven systems, and artificial intelligence (AI) to manage, regulate, and make decisions in societal processes. It involves the automation of governance tasks such as resource allocation, policy enforcement, and public service delivery. These systems analyze vast amounts of data to optimize decision-making, promising efficiency and impartiality. However, sociologists critique algorithmic governance for its potential to perpetuate biases, lack transparency, and undermine democratic accountability. Issues such as data privacy, surveillance, and the exclusion of marginalized groups are central to these critiques. Algorithmic governance highlights the increasing role of technology in shaping social structures, raising questions about ethics, equity, and the balance between human oversight and automated decision-making in modern societies.