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PODCAST

Certified - Responsible AI Audio Course

The **Responsible AI Audio Course** is a 50-episode learning series that explores how artificial intelligence can be designed, governed, and deployed responsibly. Each narrated episode breaks down complex technical, ethical, legal, and organizational issues into clear, accessible explanations built for audio-first learning—no visuals required. You’ll gain a deep understanding of fairness, transparency, safety, accountability, and governance frameworks, along with practical guidance on implementing

education courses

All Episodes

22:12

Episode 11 — Internal AI Policies & Guardrails

Certified - Responsible AI Audio Course ·

2025/09/15

Internal AI policies provide organizations with concrete rules for developing, deploying, and using artificial intelligence responsibly. This episode explains how these policies build on external regulations and ethical principles by translating them into day-to-day practices. Acceptable use policies set boundaries for employees, project approval policies ensure governance committees review high-risk initiatives, and data handling rules establish clear safeguards for consent, privacy, and

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22:47

Episode 10 — AI Management Systems

Certified - Responsible AI Audio Course ·

2025/09/15

An AI management system refers to organizational structures and processes that operationalize responsible AI. This episode explains how such systems mirror established models like quality management systems or information security management systems. Core components include policies that articulate organizational commitments, procedures that translate those commitments into specific steps, governance structures such as oversight committees, and continuous improvement cycles that ensure

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24:06

Episode 9 — Risk Management Frameworks

Certified - Responsible AI Audio Course ·

2025/09/15

Structured frameworks provide organizations with consistent methods for identifying, assessing, and mitigating AI risks. This episode introduces well-known models, including the National Institute of Standards and Technology (NIST) AI Risk Management Framework, ISO 31000 for risk management, and European Union approaches aligned with the AI Act. Core phases include mapping risks in context, measuring likelihood and impact, managing risks through controls and mitigation plans, and governing

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22:45

Episode 8 — AI Regulation in Practice

Certified - Responsible AI Audio Course ·

2025/09/15

AI regulation increasingly applies a risk-tiered framework, where obligations scale with the potential for harm. This episode explains how regulators classify systems into prohibited, high-risk, limited-risk, and minimal-risk categories. Prohibited systems, such as manipulative social scoring, are banned outright. High-risk systems, including those in healthcare, finance, or infrastructure, face stringent requirements such as conformity assessments, transparency obligations, and ongoing

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23:52

Episode 7 — Policy Basics for Non Lawyers

Certified - Responsible AI Audio Course ·

2025/09/15

Artificial intelligence systems do not exist outside the scope of established laws. This episode introduces policy areas most relevant to AI, ensuring that learners without legal backgrounds understand the essentials. Privacy law governs the collection, processing, and sharing of personal data, with frameworks such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) providing clear obligations. Consumer protection law prohibits misleading or

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22:30

Episode 6 — The Responsible AI Lifecycle

Certified - Responsible AI Audio Course ·

2025/09/15

Responsible AI requires integration across every stage of the AI lifecycle rather than relying on after-the-fact corrections. This episode introduces a structured view of the lifecycle, beginning with planning, where objectives are defined and ethical considerations are screened. It continues through data collection, ensuring consent, quality, and minimization practices are in place. Model development follows, incorporating fairness-aware algorithms and explainability requirements

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23:45

Episode 5 — Stakeholders and Affected Communities

Certified - Responsible AI Audio Course ·

2025/09/15

AI systems affect not only direct users but also a wide range of stakeholders, from secondary groups indirectly influenced by decisions to broader communities and societies. This episode explains the importance of mapping stakeholders systematically to capture diverse perspectives and identify risks that may otherwise remain invisible. Primary stakeholders include employees using AI in workflows or consumers interacting with services. Secondary stakeholders include families, communities, or

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25:47

Episode 4 — The AI Risk Landscape

Certified - Responsible AI Audio Course ·

2025/09/15

Artificial intelligence introduces a wide spectrum of risks, ranging from technical failures in models to ethical and societal harms. This episode maps the categories of risk, emphasizing the interplay of likelihood and impact. Technical risks include overfitting, drift, and adversarial vulnerabilities; ethical risks center on bias, lack of transparency, and unfair outcomes; societal risks extend to misinformation, surveillance, and environmental costs. Learners are introduced to the

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24:23

Episode 3 — Guiding Principles in Plain Language

Certified - Responsible AI Audio Course ·

2025/09/15

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

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25:33

Episode 2 — What “Responsible AI” Means—and Why It...

Certified - Responsible AI Audio Course ·

2025/09/15

Responsible AI refers to building and deploying artificial intelligence systems in ways that are ethical, trustworthy, and aligned with human values. This episode defines the scope of the concept, distinguishing it from broad discussions of ethics that remain abstract and from compliance programs that only address narrow legal requirements. Listeners learn how responsible AI bridges principles and daily practice, embedding safeguards throughout the lifecycle of design, data handling,

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12:18

Episode 1 — Welcome & How to Use This PrepCast

Certified - Responsible AI Audio Course ·

2025/09/15

This opening episode introduces the structure and intent of the Responsible AI PrepCast. Unlike certification-focused courses, this series is designed as a practice-oriented learning path for professionals, students, and decision-makers seeking to embed responsible AI into real-world settings. The content emphasizes accessible explanations, plain-language examples, and structured coverage of governance, risk management, fairness, safety, and cultural adoption. Learners are guided on how

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51 results

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