The immense growth of artificial intelligence and massive data mining has changed the world in respect to governance structures. The use of algorithmic systems in the decision-making processes concerning the allocation of welfare, predictive policing, financial profiling, and digital surveillance is becoming popular with governments and private corporations. Recent reports in the industry suggest that more than 60 percent of all businesses worldwide rely on artificial intelligence-led analytics in the key decision making processes and billions of people leave a digital trail of personal data every day. This change of algorithmic governance has brought up some urgent issues about the loss of privacy, control of information, and personal consent in the digital age. The paper has provided a critical analysis of the legal implication of artificial intelligence based data mining to the right to privacy. It is an assessment of the way automated decision making systems amass, manipulate and deduce delicate personal data, frequently with no significant openness or responsibility. Through the discussions of constitutional privacy jurisprudence, data protection principles, and new frameworks of cyber-security, the study examines the adequacy of the current legal regimes in dealing with the threats of mass surveillance, profiling, discriminatory results, and function creep. Specific focus is made on a conflict between technological innovation and basic rights protection. The article is supportive of the idea that the existing regulatory practices are still incoherent and responsive. It suggests a legal framework that is rights based and incorporates transparency requirements, algorithmic responsibility, data minimisation, and enhancements of oversight tools. These reforms are necessary in order to make sure that the technological governance develops in line with the principles of democracy and the preservation of the rights to privacy.