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Certified - Responsible AI Audio Course
Jason Edwards
51 episodes
2 days ago
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 responsible AI principles across industries and real-world use cases. The course examines emerging global standards, regulatory frameworks, and risk-management models that define trustworthy AI in practice. Listeners will explore how organizations can balance innovation with compliance through ethical review processes, impact assessments, and continuous monitoring. Key topics include algorithmic bias mitigation, explainability, data stewardship, AI auditing, and stakeholder accountability. Each episode is designed to help learners translate ethical concepts into operational practices that enhance safety, reliability, and social responsibility. Developed by **BareMetalCyber.com**, the Responsible AI Audio Course combines technical clarity with policy insight—empowering professionals, students, and leaders to understand, apply, and advocate for responsible artificial intelligence in today’s rapidly evolving digital world.
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All content for Certified - Responsible AI Audio Course is the property of Jason Edwards and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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 responsible AI principles across industries and real-world use cases. The course examines emerging global standards, regulatory frameworks, and risk-management models that define trustworthy AI in practice. Listeners will explore how organizations can balance innovation with compliance through ethical review processes, impact assessments, and continuous monitoring. Key topics include algorithmic bias mitigation, explainability, data stewardship, AI auditing, and stakeholder accountability. Each episode is designed to help learners translate ethical concepts into operational practices that enhance safety, reliability, and social responsibility. Developed by **BareMetalCyber.com**, the Responsible AI Audio Course combines technical clarity with policy insight—empowering professionals, students, and leaders to understand, apply, and advocate for responsible artificial intelligence in today’s rapidly evolving digital world.
Show more...
Courses
Education,
Technology
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Episode 47 — Standing Up an RAI Function
Certified - Responsible AI Audio Course
23 minutes
3 months ago
Episode 47 — Standing Up an RAI Function

A Responsible AI (RAI) function provides organizations with the structure to oversee and guide AI use. This episode explains how to establish an RAI office or committee with clear roles, charters, and mandates. Key responsibilities include drafting policies, conducting risk assessments, training employees, and reviewing high-risk projects. Learners are introduced to the value of cross-functional teams, where legal, compliance, technical, and ethics perspectives are integrated into one organizational structure.

Examples show how banks have created governance boards to review credit models, healthcare institutions have built committees to evaluate patient safety risks, and technology firms have appointed ethics officers to oversee generative AI deployments. Challenges include resistance from product teams, resource costs, and ensuring authority to enforce standards. Learners gain insight into practical starting steps, such as piloting oversight on one high-risk project, documenting early successes, and building executive sponsorship. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your certification path.

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 responsible AI principles across industries and real-world use cases. The course examines emerging global standards, regulatory frameworks, and risk-management models that define trustworthy AI in practice. Listeners will explore how organizations can balance innovation with compliance through ethical review processes, impact assessments, and continuous monitoring. Key topics include algorithmic bias mitigation, explainability, data stewardship, AI auditing, and stakeholder accountability. Each episode is designed to help learners translate ethical concepts into operational practices that enhance safety, reliability, and social responsibility. Developed by **BareMetalCyber.com**, the Responsible AI Audio Course combines technical clarity with policy insight—empowering professionals, students, and leaders to understand, apply, and advocate for responsible artificial intelligence in today’s rapidly evolving digital world.