Algorithmic Accountability

Algorithmic Accountability refers to the practice and framework of ensuring that algorithms, particularly those used in decision-making processes, are transparent, explainable, and subject to oversight. It emphasizes the responsibility of organizations and developers to assess the impacts of their algorithms on individuals and society, ensuring they operate fairly and do not perpetuate bias or discrimination. This concept includes mechanisms for auditing, monitoring, and rectifying algorithmic outcomes, enabling stakeholders to hold creators accountable for the effects their algorithms have on people's lives. Consequently, it aims to promote ethical standards and foster trust in algorithm-driven technologies.