Final answer:
The Responsible AI framework promotes trust, accountability, transparency, and fairness in AI systems within organizations by considering risks, mitigation, and reporting processes.
Explanation:
Responsible AI framework helps organizations foster trust, accountability, transparency, and fairness in all AI systems. It ensures that AI implementations consider expected benefits against estimated risks, with mitigation strategies and reporting processes in place for accountability and transparency to the public.
References by Alge et al. (2006) and other scholars emphasize the importance of ethical implications and accountability when dealing with AI systems in organizations.
The principles for AI governance in higher education, as outlined in the conceptual framework, emphasize trust, fairness, and transparency in AI integration, aligning with the Responsible AI framework.
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