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The principle that ensures AI is used responsibly and transparently is centered on AI Ethics. This framework encompasses the moral implications of AI deployment, guiding how AI systems are developed, operated, and maintained to ensure they align with societal values and norms. It addresses concerns such as fairness, accountability, and transparency, dictating that organizations implement practices that prevent bias, ensure data privacy, and promote the ethical use of technology.

For instance, ethical guidelines might require companies to disclose how their AI algorithms make decisions, allowing stakeholders to understand and trust the processes involved. This is crucial in building confidence in AI systems, as the ethical considerations help mitigate risks associated with misinformation, discrimination, or other adverse effects that can arise from mismanaged AI technologies.

Other options, while important in the broader context of AI usage, do not specifically encapsulate these ethical considerations. AI Governance relates more to the overarching policies and organizational structures that manage AI utilization. Data Security focuses on protecting data integrity and confidentiality, and Compliance Regulations are designed to ensure adherence to legal standards without necessarily addressing the moral implications of AI's impact on society. Thus, AI Ethics stands out as the principle directly tied to responsible and transparent AI use.