Intermediateapplied

AI Safety & Ethics

Critical course on responsible AI use: deepfake and disinformation risks, prompt injection protection, data privacy in LLMs, algorithmic bias, regulations (EU AI Act, GDPR), corporate AI policy, and ethical decision-making frameworks.

4modules

10lessons

225 mintotal time

Anyone using AI in a professional contextaudience

Module 1

AI Risks & Threats

Taxonomy of AI risks: hallucinations, bias, misuse, data leaks, prompt injection, model poisoning, and supply chain attacks.

The AI Threat Landscape: What Can Go Wrong

Taxonomy of AI risks: hallucinations, bias, data leaks, prompt injection, model poisoning, and supply chain attacks.

20 min

Prompt Injection: How Attackers Hack AI

Direct and indirect prompt injection attacks, real-world examples, detection patterns, and mitigation strategies.

25 min

Deepfakes and Synthetic Media

Deepfake technology overview, detection tools, organizational policies, voice cloning scams, and the legal landscape.

20 min

Module 2

Privacy & Data Protection

What happens to your data in LLM APIs, how to handle personal data, and GDPR in the AI context.

What Happens to Your Data in LLM APIs

Data-retention policies of OpenAI, Anthropic, and Google; enterprise vs consumer tiers; on-premises options.

20 min

Personal Data in Prompts: What Never to Send

Which PII to never include in prompts (SSNs, card numbers, medical data), anonymization techniques, and synthetic data generation.

20 min

GDPR and the EU AI Act: What Everyone Must Know

GDPR in the AI-tools context: lawful bases, data processor agreements, right to explanation, and EU AI Act prohibitions.

25 min

Module 3

Bias & Fairness

Types of AI bias, real-world harms, testing methodologies, and fairness metrics.

AI Bias: Types, Consequences, and Testing

Types of bias (training data, representational, measurement), real-world harms, testing methodologies, and fairness metrics.

25 min

LLM Hallucinations: When Not to Trust AI

Why LLMs hallucinate, detection strategies, fact-checking workflows, grounding techniques, and signals of unreliability.

20 min

Module 4

Governance & Ethics

Corporate AI policy and ethical decision-making frameworks.

Corporate AI Policy: How to Write One

Structure of an AI usage policy: permitted uses, prohibited uses, data-handling rules, approval process, and training requirements.

25 min

Ethical Frameworks for AI Decision-Making

Utilitarian vs deontological approaches to AI ethics, Anthropic Constitutional AI, IEEE Ethically Aligned Design, and a practical decision checklist.

25 min