The Importance of Machine Learning to Individuals' Rights to Protect their Data

The widespread use of machine learning to address a wide range of practical issues has resulted in the requirement to gather and analyze massive amounts of data, some of which are regarded as sensitive and personal, raising major data protection issues. The existing EU legislation on data protection and AI typically demand privacy-enhancing technologies (PETs) to reach a general trustworthiness and to secure personal data. In the increasingly digitally connected world of today, data privacy has become crucial. The growth of data in many different fields has made protecting sensitive information more crucial than ever. To improve data privacy in the digital era, this abstract examines state-of-the-art machine learning approaches. A workable solution to data privacy concerns is provided by the machine learning subset of artificial intelligence. This paper explores the potential of machine learning methods to improve confidentiality safeguards across a variety of applications. Machine learning models can provide proactive defense against cyber-attacks by analyzing massive amounts of data and potentially identifying vulnerabilities and breaches in real-time.