Foundations of Artificial Integrity

This unit introduces the principles and context of Artificial Integrity, examining AI’s historical origins, societal impacts, workplace dynamics, and the design choices that produce exclusion or benefit. Students will learn to apply integrity-centered models and distinguish Artificial Integrity from conventional AI ethics in preparation for designing accountable AI systems in later units.

Learning Objectives

• Analyze the historical and technological origins of AI and explain how these trajectories influence current societal exclusions and power dynamics
• Evaluate the social and workplace impacts of AI by assessing economic, equity, and organizational consequences and prioritizing integrity-based design criteria for financial services
• Apply the ‘Digital for Good’ and Artificial Integrity principles to design two concrete governance or design interventions that sustain societal value models and promote human–AI co-intelligence
• Differentiate Artificial Integrity from traditional AI ethics by mapping metamodel dynamics and marginal modes to measurable indicators of usefulness, fairness, and accountability