A Comprehensive Approach to Responsible AI Development and Deployment. [PDF]
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The Application of the Principles of Responsible AI on Social Media Marketing for Digital Health. [PDF]
Inf Syst Front, 2021 Liu R, Gupta S, Patel P.
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Identifying key challenges and needs in digital mental health moderation practices supporting users exhibiting risk behaviours to develop responsible AI tools: the case study of Kooth. [PDF]
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Responsible AI for Sepsis Prediction: Bridging the Gap Between Machine Learning Performance and Clinical Trust. [PDF]
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Guiding responsible AI in healthcare in the Philippines. [PDF]
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The dual-role clinician teacher: A human bridge for socially responsible AI use. [PDF]
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Auditing cognitive drift in AI-driven recommendation: a responsible AI methods protocol with a health case demonstration. [PDF]
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Collaborative framework on responsible AI in LLM-driven CDSS for precision oncology leveraging real-world patient data. [PDF]
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