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Preventing AI abuse through responsible design, transparent governance, and robust safeguards that prioritize human rights, protect privacy, and ensure that intelligent systems remain fair, accountable, and aligned with clearly defined ethical and legal standards across their entire lifecycle, from initial research and data collection to deployment, monitoring, and eventual decommissioning. This includes building explainable models, enforcing strict data protection practices, conducting independent audits, and establishing clear lines of responsibility so that decisions made or supported by AI can always be traced, challenged, and corrected. By embedding ethical principles into every stage of development and use, and by engaging diverse stakeholders such as policymakers, civil society, and affected communities, AI technologies can be directed toward social benefit, minimized risk, and long‑term trustworthiness.