Document Type
Presentation
Publication Date
8-2026
Keywords
Artificial Intelligence, Responsible AI, Ethical AI, AI Ethics, AI Governance, Fairness, Transparency, Accountability, Data Privacy, AI Safety, Digital Transformation
Disciplines
Business | Education
Abstract
This presentation explores responsible and ethical artificial intelligence through a practical framework centered on five core principles: fairness, transparency, accountability, privacy, and safety. It examines how ethical challenges surrounding AI are emerging across educational, organizational, creative, and societal contexts, including concerns related to bias, privacy, academic integrity, AI-generated content, and responsible decision-making. The presentation also introduces the Trust Cycle as a practical approach for moving from awareness and reflection to safe experimentation, feedback, and transformation, encouraging participants to critically evaluate AI use while maintaining human judgment, accountability, and trust.
Community Engaged/Serving
Part of the UMass Boston Community-Engaged Teaching, Research, and Service Series. //scholarworks.umb.edu/engage
Recommended Citation
Lama, Ila, "Responsible & Ethical AI Use: From Principles to Practice" (2026). Paul English Applied Artificial Intelligence (AI) Institute Publications. 45.
https://scholarworks.umb.edu/ai_pubs/45
Rights
© 2026 Ila Lama
Comments
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