This unit establishes the conceptual foundations for Artificial Integrity by exploring AI’s societal impacts, historical origins, and the distinction between integrity and ethics. Students examine exclusionary design, workplace dynamics, metamodel behavior, and frameworks for co‑intelligence to prepare for applied design and technical units that follow.
Learning Objectives
- Analyze the social, cultural, and workplace impacts of AI systems—identifying examples of exclusionary design, marginalization, and benefits—to justify why ‘Digital for Good’ principles are necessary
- Evaluate how the historical origins, data/model dynamics, and metamodel behaviors of AI contribute to current trajectories and systemic biases
- Differentiate the concept of Artificial Integrity from conventional AI ethics by articulating how integrity functions as an operational governance model within socio-technical systems
- Apply a ‘Digital for Good’ co-intelligence framework to construct a set of design considerations and value-sustaining practices that assess the usefulness and risks of AI in marginal modes
Curriculum
- 1 Section
- 13 Lessons
- 30 hours
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- Unit 1 — Foundations of Artificial Integrity13
- 1.1“Digital for Good” Matters20 mins
- 1.2AI Is a New Age for Societies20 mins
- 1.3AI Is Exclusive by Design20 mins
- 1.4The Complex Equation of AI in the Work World20 mins
- 1.5The Origin of AI Elucidates its Current Trajectory20 mins
- 1.6Integrity Is the Unseen20 mins
- 1.7Sustaining Society Value Models20 mins
- 1.8A Deliberate Act of AI Design20 mins
- 1.9A Stance for the Development of Human and Artificial Co-intelligence20 mins
- 1.10Artificial Integrity’s Metamodel Dynamics20 mins
- 1.11Differentiating Artificial Integrity from AI Ethics20 mins
- 1.12Human Intelligence and AI to Embody Digital for Good20 mins
- 1.13Marginal Mode Sets the Ground for an Essential Discernment of the Usefulness of AI20 mins
Instructor
Free
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