  As Artificial Intelligence (AI) becomes more prevalent, protecting personal
privacy is a critical ethical issue that must be addressed. This article
explores the need for ethical AI systems that safeguard individual privacy
while complying with ethical standards. By taking a multidisciplinary approach,
the research examines innovative algorithmic techniques such as differential
privacy, homomorphic encryption, federated learning, international regulatory
frameworks, and ethical guidelines. The study concludes that these algorithms
effectively enhance privacy protection while balancing the utility of AI with
the need to protect personal data. The article emphasises the importance of a
comprehensive approach that combines technological innovation with ethical and
regulatory strategies to harness the power of AI in a way that respects and
protects individual privacy.
