Aigp: Ai Governance: Ai And Data Privacy In Europe

The Most Comprehensive and User-Friendly Course on AI Data Protection

What you'll learn

Define key concepts, used by data protection laws

Understand the differences among types of AI systems

Understand the applicability of EU data protection legislation to AI (GDPR, AI act, AI clauses)

Understand the core risks and harms posed by AI systems

Understand the existing laws that interact with AI use

Understanding key GDPR intersections

Understand the similarities and differences among existing and emerging ethical guidance on AI

Understand the basic elements of AI and ML

Requirements

No experience needed, you will learn from scratch

Description

Embark on a journey to mastering AI and Data Privacy with our cutting-edge course, designed by a highly experienced and multi-certified CIPP/C, CIPP/A, CIPP/US, CIPP/E practitioner and university lecturer. With over a decade of practical experience and teaching, this course is tailor-made to transform complex concepts into easily digestible knowledge.Why This Course?Struggling to find materials for the AIGP IAPP certification? This course is your one-stop solution.Learn from a seasoned data privacy activist and expert who simplifies complex compliance concepts.Comprehensive coverage of key IAPP body of knowledge topics, ensuring a well-rounded understanding.What Will You Learn?AI Essentials: Understand what AI is, its various types, machine learning categories, and the AI lifecycle.Historical Context: Gain insights into the history of AI and its evolution.Global AI Frameworks: Explore major AI regulations such as the EU AI Act, Cyberspace Administration of China’s draft regulations on generative AI, and Canada’s AI and Data Act (C-27).In-Depth GDPR Analysis: Delve into the principles of GDPR, understanding its implications and applications.Course Features:Engaging Content: The course content is designed to be engaging and accessible, breaking down complex AI and privacy law concepts.Practical Insights: Benefit from the instructor's real-world experience, offering practical tips and actionable advice.Supportive Learning Environment: Get your questions answered with ongoing support from the instructor.Additional Benefits:Flexible Learning: Opt for extra lectures if you wish to dive deeper into specific topics.Comprehensive Materials: Access well-organized printed materials and examples to supplement your learning.Extra Readings: While not mandatory, additional recommended readings are available for those who want to further their knowledge.Extra Content: Explore extra topics and exclusive materials compiled by the author.About the Instructor: The course is authored by a distinguished lecturer with experience in various universities across the USA, UK, and Europe, currently serving as a Data Protection Officer (DPO) in a global company. This background ensures a blend of academic rigor and practical relevance.Join Us: Whether you're preparing for the AIGP IAPP certification or looking to enhance your understanding of AI and data privacy, this course is designed to equip you with the knowledge and skills you need. Get ready to jump-start your compliance journey with us!

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Understanding the Foundations of Artificial Intelligence

Lecture 2 Notion of Artificial Intelligence

Lecture 3 the basics of machine learning and its training methods

Lecture 4 Types of AI:strong & broad and weak & narrow AI.

Lecture 5 Understanding the differences between robotics and automation

Lecture 6 Brief history of AI

Section 3: Understanding AI Impacts and Responsible AI Principles

Lecture 7 Risks to human rights

Lecture 8 Responsible AI principles

Section 4: Ethical guidance for AI

Lecture 9 The ethical guidance in Fair Information Principles and OECD principles

Lecture 10 Understanding the Blueprint for an AI Bill of Rights

Lecture 11 High-level Expert Group AI role

Lecture 12 A Comparative Analysis of Major Guidelines

Section 5: Understanding the AI Development Life Cycle

Lecture 13 Lifecycle of Artificial Intelligence solution

Section 6: Understanding How Current Laws Apply to AI Systems: GDPR aspect

Lecture 14 Scope of GDPR

Lecture 15 Material scope of GDPR

Lecture 16 Territorial scope of GDPR

Section 7: GDPR and AI: key terms of GDPR

Lecture 17 Key definitions:intro

Lecture 18 What is personal data?

Lecture 19 Which data needs special protection: Sensitive personal data

Lecture 20 Who is data controller?

Lecture 21 who is data processor?

Lecture 22 Processing and data subject

Section 8: Data protection principles (GDPR) that AI should comply with

Lecture 23 Intro to principles: what is that and why AI apps have to follow them?

Lecture 24 Lawfulness, fairness, transparency

Lecture 25 Fairness & AI

Lecture 26 Transparency and AI

Lecture 27 Purpose limitation

Lecture 28 Data minimalization and purpose limitation

Lecture 29 Lawfulness & Data minimalization & Purpose limitation and AI

Lecture 30 Integrity and confidentiality

Lecture 31 Accuracy

Lecture 32 Accuracy and AI

Lecture 33 Accountability

Lecture 34 Accountability and AI

Section 9: Understanding the Existing and Emerging AI Laws and Standards

Lecture 35 Intro. Overview of legal frameworks concerning AI

Lecture 36 European Union AI Act

Lecture 37 EU model contractual clauses for artificial intelligence (AI)

Lecture 38 Contemplating Ongoing Issues and Concerns around AI

Lecture 39 Canada’s Artificial Intelligence and Data Act (C-27)

Lecture 40 U.S. state laws that govern the use of AI.

Lecture 41 Cyberspace Administration of China’s draft regulations on generative AI

Beginner, key concepts are explained from scratch,Data privacy professionals, who want to expand their understanding of AI