The world is currently experiencing an unprecedented technological era driven by advanced artificial intelligence (AI) algorithms. These technologies have evolved beyond their traditional role as supporting tools to become active participants in critical decision-making processes affecting the judiciary, healthcare, employment, and national security. As AI continues to expand into these sensitive domains, the need to address AI ethics has become increasingly urgent. These systems present complex legal, ethical, and security challenges that require effective and timely international governance. First: Ethical Dilemmas and Algorithmic Bias Intelligent systems rely on vast amounts of historical data generated by humans. Consequently, algorithms cannot always be considered entirely neutral, as they may reproduce and reinforce existing human and societal biases. This problem is particularly evident in AI-powered recruitment systems that may discriminate against certain groups, as well as in criminal justice algorithms that have demonstrated racial bias in some countries. These challenges raise fundamental ethical questions concerning the concept of digital justice, algorithmic fairness, and the mechanisms required to ensure that automated decision-making systems operate transparently and without discrimination. Ensuring fairness requires continuous evaluation of training data, regular auditing of algorithms, and meaningful human oversight. Second: Legislative Gaps and Legal Challenges Technology is advancing at an extraordinary pace, while legislation and regulatory frameworks often develop more slowly. This disparity has created legal uncertainties and raised several important questions. 1. Legal Liability: When an AI system, such as an autonomous vehicle or an automated medical diagnostic tool, makes a critical error that causes material damage or personal injury, determining legal responsibility becomes complicated. Should liability rest with the developer, the manufacturer, the service provider, or the end user? Addressing this issue requires clear legal frameworks that define responsibilities according to the circumstances and the degree of control exercised by each party. 2. Intellectual Property: Generative AI models that produce text, images, and other creative content have intensified debates surrounding intellectual property rights. Concerns arise when these systems are trained on copyrighted works without clear authorization or appropriate compensation for their creators. These developments challenge traditional concepts of authorship, ownership, and the protection of human creativity, highlighting the need for balanced legal frameworks that support technological innovation while safeguarding the rights of original creators. Third: Security Threats and Offensive Artificial Intelligence From a security perspective, artificial intelligence represents a double-edged sword. While it can strengthen cybersecurity and improve threat detection, it can also provide malicious actors with increasingly sophisticated capabilities. 1. Deepfakes: Advances in generative AI have made it possible to manipulate voices, images, and videos with remarkable realism. Deepfake technology poses a significant threat to public trust and social stability, as it can be exploited to spread misinformation, manipulate electoral processes, impersonate individuals, and facilitate financial fraud and extortion. 2. Automated Cyberattacks: Malicious actors can exploit advanced AI technologies to identify vulnerabilities, automate aspects of cyberattacks, and increase the speed and scale of malicious operations. Such activities may threaten critical infrastructure, including healthcare systems, energy networks, financial institutions, and government services. Consequently, strengthening cybersecurity capabilities and developing effective mechanisms for detecting and responding to AI-enabled threats have become essential priorities. Conclusion: Towards a New Digital Social Contract Addressing these challenges does not mean restricting innovation or hindering technological progress. Rather, it requires establishing a new digital social contract in which governments, technology companies, academic institutions, and international organizations share responsibility for developing and deploying artificial intelligence systems that are ethical, transparent, secure, and accountable. Effective AI governance should be based on fundamental principles, including respect for human dignity, fairness, privacy protection, transparency, and clearly defined accountability. Through international cooperation, responsible innovation, and appropriate regulatory frameworks, artificial intelligence can continue to advance scientific and technological progress while ensuring that human well-being and security remain more important than profit or technological speed