Accountability in AI Systems

The Artificial Intelligence (AI) is now used in many parts of daily life, from simple digital assistants to complex decision-making systems. As AI becomes more powerful, it also raises important questions about who is responsible for its actions and effects. The purpose of this study is to explain, in simple terms, the idea of Moral Responsibility when using and deploying AI technologies. It explores what duties developers, companies, governments, and users have to make sure AI is safe, fair, and used in the right way. The study reviews existing research, ethical guidelines and philosophical ideas relate to responsibility and technology. It looks at common issues such as privacy loss, harmful algorithmic biases, unclear decisions processes and situations where responsibility becomes difficult to identify when AI systems make mistakes. Different ethical approaches are also discussed to identify responsibility should be shared among the people involved. The findings show that moral responsibility for AI is shared but some groups carry more weight than others. Developers have the greatest responsibility because they design the systems. Organizations using AI must check how it works, protect data, and be transparent. Governments need to create strong rules, while users also have a role but should not be blamed for faults caused by poor design.