AI Accountability Measures
AI Accountability Measures refer to the ethical and legal frameworks put in place to ensure that artificial intelligence systems are held responsible for their actions and decisions. These measures aim to establish clear guidelines for the development and deployment of AI technologies, as well as mechanisms for detecting and addressing instances of bias, discrimination, or other harmful outcomes. Examples of AI accountability measures include transparency requirements, algorithmic audits, and mechanisms for redress and recourse for individuals affected by AI systems.