As artificial intelligence (AI) continues to integrate into various sectors, addressing key ethical considerations such as compliance, bias, and transparency has become imperative. This chapter explores the challenges and strategies for ensuring that AI systems operate within legal frameworks and uphold fairness. It discusses how compliance with existing regulations, such as GDPR, impacts AI system development and deployment. The chapter also highlights the risk of algorithmic bias, its implications for decision-making, and methods for mitigating bias in AI models. Additionally, it delves into the importance of transparency, exploring how explainability and openness in AI systems can build trust among users and stakeholders. By examining these areas, the chapter offers insights into creating more responsible, equitable, and accountable AI systems in today's complex technological landscape.