Episode 3 — Guiding Principles in Plain Language
This episode translates the most common responsible AI principles into accessible language for both technical and non-technical audiences. Core values include beneficence, or promoting human well-being; non-maleficence, or avoiding harm; autonomy, or respecting individual choice; justice, or ensuring fairness; and transparency, or enabling systems to be understood and accountable. Each principle is defined in clear, operational terms rather than philosophical abstractions, showing learners how these values function as compass points for governance, policy, and system design.
The discussion expands with sector examples that demonstrate principles in practice. Healthcare applications illustrate beneficence through life-saving diagnostics, while hiring systems highlight risks of violating justice if bias is unchecked. Transparency is explored through model cards and disclosure practices, and autonomy is tied to user consent mechanisms. Limitations of principles-only approaches are acknowledged, particularly the risk of ethics washing when values are stated but not implemented. Learners are shown how principles act as a starting point for concrete processes, metrics, and tools that will be explored in subsequent episodes. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your certification path.
