Certified - Responsible AI Audio Course
Episodes
Welcome to the Responsible AI Audio Course
14 Oct 2025
Contributed by Lukas
Episode 50 — Culture & Change Management
15 Sep 2025
Contributed by Lukas
Policies and technical safeguards succeed only when embedded within an organizational culture that values responsibility. This episode introduces cult...
Episode 49 — External Assurance & Audits
15 Sep 2025
Contributed by Lukas
External assurance and audits provide independent validation that AI systems meet ethical, legal, and operational standards. This episode explains how...
Episode 48 — Procurement & Third Party Risk
15 Sep 2025
Contributed by Lukas
Most organizations rely on third-party AI systems and services, creating exposure to risks outside their direct control. This episode introduces procu...
Episode 47 — Standing Up an RAI Function
15 Sep 2025
Contributed by Lukas
A Responsible AI (RAI) function provides organizations with the structure to oversee and guide AI use. This episode explains how to establish an RAI o...
Episode 46 — Public Sector & Law Enforcement
15 Sep 2025
Contributed by Lukas
AI systems in the public sector and law enforcement operate under intense scrutiny because of their potential to affect entire populations and fundame...
Episode 45 — Education & EdTech
15 Sep 2025
Contributed by Lukas
AI tools are transforming education through adaptive learning platforms, tutoring systems, and automated grading. This episode introduces opportunitie...
Episode 44 — HR & Hiring
15 Sep 2025
Contributed by Lukas
Human resources and hiring processes increasingly use AI to manage recruitment, screening, and workforce analytics. This episode highlights benefits s...
Episode 43 — Finance & Insurance
15 Sep 2025
Contributed by Lukas
AI systems in finance and insurance carry significant opportunities and risks. This episode introduces applications such as credit scoring, fraud dete...
Episode 42 — Healthcare & Life Sciences
15 Sep 2025
Contributed by Lukas
Healthcare and life sciences present some of the most promising but also most sensitive applications of AI. This episode explores opportunities such a...
Episode 41 — Environmental & Social Sustainability
15 Sep 2025
Contributed by Lukas
AI systems consume significant resources, from the energy needed to train large models to the materials required for specialized hardware. This episod...
Episode 40 — Choice Architecture & Dark Patterns
15 Sep 2025
Contributed by Lukas
Choice architecture refers to how options are presented to users, while dark patterns are manipulative designs that steer users toward decisions not i...
Episode 39 — Inclusive & Accessible AI
15 Sep 2025
Contributed by Lukas
Inclusivity and accessibility ensure AI systems serve all users equitably, regardless of background, language, or ability. This episode defines inclus...
Episode 38 — Provenance & Watermarking
15 Sep 2025
Contributed by Lukas
Provenance and watermarking are methods for tracking and identifying AI-generated content. Provenance refers to capturing the history of data or outpu...
Episode 37 — Copyright & Licensing in GenAI
15 Sep 2025
Contributed by Lukas
Generative AI raises complex intellectual property questions about both training data and outputs. This episode introduces copyright as legal protecti...
Episode 36 — Incidents & Postmortems
15 Sep 2025
Contributed by Lukas
Even with strong safeguards, AI systems inevitably experience failures or incidents that create harm or expose vulnerabilities. This episode defines i...
Episode 35 — Monitoring & Drift
15 Sep 2025
Contributed by Lukas
Monitoring ensures AI systems continue to perform as intended after deployment, while drift refers to changes in data or environments that degrade acc...
Episode 34 — Human in the Loop
15 Sep 2025
Contributed by Lukas
Human-in-the-loop describes oversight models where people remain actively involved in AI decision-making. This episode explains three main approaches:...
Episode 33 — Designing Evaluations
15 Sep 2025
Contributed by Lukas
Effective evaluation frameworks are essential to ensuring AI systems perform reliably and responsibly. This episode introduces task-grounded evaluatio...
Episode 32 — Hallucinations & Factuality
15 Sep 2025
Contributed by Lukas
Large language models frequently generate outputs that sound convincing but are factually incorrect, a phenomenon known as hallucination. This episode...
Episode 31 — Red Teaming & Safety Evaluations
15 Sep 2025
Contributed by Lukas
Red teaming and safety evaluations are proactive practices designed to uncover vulnerabilities and harms in AI systems before they reach users. This e...
Episode 30 — Content Safety & Toxicity
15 Sep 2025
Contributed by Lukas
AI systems that generate or moderate content must address the risk of harmful outputs. This episode introduces content safety as a set of controls des...
Episode 29 — LLM Specific Risks
15 Sep 2025
Contributed by Lukas
Large language models (LLMs) present risks distinct from earlier AI systems due to their general-purpose scope and broad deployment. This episode high...
Episode 28 — Adversarial ML
15 Sep 2025
Contributed by Lukas
Adversarial machine learning focuses on how attackers manipulate AI models and how defenders respond. This episode introduces four major categories of...
Episode 27 — Threat Modeling for AI Systems
15 Sep 2025
Contributed by Lukas
Threat modeling is the process of systematically identifying and prioritizing risks that could compromise AI systems. This episode introduces the core...
Episode 26 — Retention, Deletion & Data Rights
15 Sep 2025
Contributed by Lukas
Responsible AI requires clear practices for how long data is kept, how it is securely deleted, and how organizations honor user rights. This episode d...
Episode 25 — Synthetic Data
15 Sep 2025
Contributed by Lukas
Synthetic data is artificially generated to mimic real datasets while reducing reliance on sensitive information. This episode explains how it can pro...
Episode 24 — Federated & Edge Approaches
15 Sep 2025
Contributed by Lukas
Federated learning and edge AI represent architectural strategies to protect privacy and reduce reliance on centralized data collection. Federated lea...
Episode 23 — Differential Privacy in Practice
15 Sep 2025
Contributed by Lukas
Differential privacy provides mathematical guarantees that individual records cannot be re-identified from aggregated results. This episode introduces...
Episode 22 — Privacy by Design for AI
15 Sep 2025
Contributed by Lukas
Privacy by design is the principle of embedding privacy protections into systems from the outset rather than adding them later. This episode introduce...
Episode 21 — Communicating with Humans
15 Sep 2025
Contributed by Lukas
Responsible AI requires not just transparency in technical systems but also clear communication that humans can understand and trust. This episode exp...
Episode 20 — Model, Data & System Cards
15 Sep 2025
Contributed by Lukas
Episode 19 — Explainer Tooling
15 Sep 2025
Contributed by Lukas
Explainer tools operationalize post hoc explainability by generating insights into model behavior. This episode introduces SHAP, which uses game theor...
Episode 18 — Interpretable Models vs. Post hoc Explanations
15 Sep 2025
Contributed by Lukas
This episode contrasts two approaches to explainability: inherently interpretable models and post hoc explanation methods. Interpretable models, such ...
Episode 17 — Why Explainability?
15 Sep 2025
Contributed by Lukas
Explainability refers to making AI outputs understandable to humans, a necessity for trust, compliance, and accountability. This episode explains why ...
Episode 16 — Mitigating Bias
15 Sep 2025
Contributed by Lukas
Measuring bias is only the first step; mitigation strategies are required to reduce unfair outcomes in AI systems. This episode introduces three broad...
Episode 15 — Measuring Bias
15 Sep 2025
Contributed by Lukas
Once fairness definitions are understood, the next step is measuring bias within data and models. This episode explains how metrics quantify dispariti...
Episode 14 — Fairness Definitions
15 Sep 2025
Contributed by Lukas
Fairness in AI does not have a single definition but instead encompasses multiple, sometimes conflicting, interpretations. This episode introduces dem...
Episode 13 — Documenting Data
15 Sep 2025
Contributed by Lukas
Documenting datasets is critical for transparency, accountability, and reproducibility in AI systems. This episode introduces methods such as datashee...
Episode 12 — Data Governance 101
15 Sep 2025
Contributed by Lukas
Data governance establishes the rules and responsibilities for managing the information that powers AI systems. This episode defines data governance a...
Episode 11 — Internal AI Policies & Guardrails
15 Sep 2025
Contributed by Lukas
Internal AI policies provide organizations with concrete rules for developing, deploying, and using artificial intelligence responsibly. This episode ...
Episode 10 — AI Management Systems
15 Sep 2025
Contributed by Lukas
An AI management system refers to organizational structures and processes that operationalize responsible AI. This episode explains how such systems m...
Episode 9 — Risk Management Frameworks
15 Sep 2025
Contributed by Lukas
Structured frameworks provide organizations with consistent methods for identifying, assessing, and mitigating AI risks. This episode introduces well-...
Episode 8 — AI Regulation in Practice
15 Sep 2025
Contributed by Lukas
AI regulation increasingly applies a risk-tiered framework, where obligations scale with the potential for harm. This episode explains how regulators ...
Episode 7 — Policy Basics for Non Lawyers
15 Sep 2025
Contributed by Lukas
Artificial intelligence systems do not exist outside the scope of established laws. This episode introduces policy areas most relevant to AI, ensuring...
Episode 6 — The Responsible AI Lifecycle
15 Sep 2025
Contributed by Lukas
Responsible AI requires integration across every stage of the AI lifecycle rather than relying on after-the-fact corrections. This episode introduces ...
Episode 5 — Stakeholders and Affected Communities
15 Sep 2025
Contributed by Lukas
AI systems affect not only direct users but also a wide range of stakeholders, from secondary groups indirectly influenced by decisions to broader com...
Episode 4 — The AI Risk Landscape
15 Sep 2025
Contributed by Lukas
Artificial intelligence introduces a wide spectrum of risks, ranging from technical failures in models to ethical and societal harms. This episode map...
Episode 3 — Guiding Principles in Plain Language
15 Sep 2025
Contributed by Lukas
This episode translates the most common responsible AI principles into accessible language for both technical and non-technical audiences. Core values...
Episode 2 — What “Responsible AI” Means—and Why It Matters
15 Sep 2025
Contributed by Lukas
Responsible AI refers to building and deploying artificial intelligence systems in ways that are ethical, trustworthy, and aligned with human values. ...
Episode 1 — Welcome & How to Use This PrepCast
15 Sep 2025
Contributed by Lukas
This opening episode introduces the structure and intent of the Responsible AI PrepCast. Unlike certification-focused courses, this series is designed...