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Certified - Responsible AI Audio Course
Jason Edwards
51 episodes
3 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 40 — Choice Architecture & Dark Patterns
Certified - Responsible AI Audio Course
27 minutes
3 months ago
Episode 40 — Choice Architecture & Dark Patterns

Choice architecture refers to how options are presented to users, while dark patterns are manipulative designs that steer users toward decisions not in their best interest. This episode explains the difference between ethical nudges, which support informed decision-making, and dark patterns, which exploit cognitive biases or obscure options. Learners explore the ethical and regulatory dimensions of design choices that directly affect autonomy, fairness, and trust.

Examples illustrate dark patterns in practice, such as subscription cancellation obstacles, pre-checked boxes for excessive data collection, and deceptive urgency prompts in e-commerce. AI-specific risks include algorithmic nudges in recommendation systems that limit awareness of alternatives. Case studies show regulatory actions against manipulative practices and highlight transparency as a remedy. Learners gain best practices for designing clear, fair, and respectful choice architectures that align with both ethical obligations and consumer protection laws. 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.