Navigating AI Regulations: EU, NIST, ISO & Frameworks

Packt via Coursera

Go to class Write review

Details

Go to class

Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

5 hours
Sessions

Self-Paced
Level

Intermediate
Subtitles

English

Found in

Overview

Google, IBM & Meta Certificates – 40% Off

One Coursera Plus subscription covers most Professional Certificates on Coursera.

Unlock All Certificates

In this course, you will explore AI regulations with a focus on key frameworks such as EU Acts, NIST, and ISO standards. Understand the intricacies of compliance and risk management in AI projects. This course is ideal for professionals looking to enhance their knowledge of AI governance. The landscape of AI regulations is complex, and understanding the frameworks governing AI is crucial for developing responsible and compliant AI systems. This course provides an in-depth exploration of the key regulatory standards affecting AI today, including EU regulations, NIST standards, ISO certifications, and Google's SAIF framework. By focusing on these regulations, you will learn how to navigate the compliance requirements and manage AI risks effectively. You will begin with a foundational understanding of the EU Acts governing AI, followed by detailed lessons on NIST and ISO frameworks. The course explores both the technical and legal implications of these regulations, giving you the tools to align your AI projects with global standards. The Google SAIF framework is also covered, providing insights into Google's approach to AI risk management. This course is perfect for AI professionals, data scientists, legal experts, and anyone involved in AI development. Prior experience in AI and a basic understanding of compliance frameworks are recommended. This course is designed for AI professionals, data scientists, legal advisors, and business leaders who wish to deepen their understanding of AI regulations. Familiarity with AI concepts and a basic understanding of regulatory frameworks will be beneficial. The course delivers structured learning through video lectures and real-world examples. Interactive elements ensure engagement and allow learners to test their knowledge in practical scenarios. You will walk away with actionable insights into AI governance. This course is based on Navigating AI Regulations: EU, NIST, ISO & Frameworks, by Tyler Wall. This course is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

Syllabus

Introduction
- This module provides an overview of the fundamental concepts and goals related to navigating AI regulations. Learners will gain foundational knowledge on the importance of regulatory frameworks in AI development and deployment.
AI and AI Risks
- This module explores the potential risks and challenges posed by artificial intelligence, including its societal, ethical, and regulatory implications. Learners will gain an understanding of how AI can impact real-world scenarios and the frameworks developed to address these concerns. The content helps build foundational knowledge for responsible AI development and use.
AI Frameworks
- This module explores the key frameworks that guide AI governance and regulation, highlighting their goals, global practices, and the impact of regulatory developments on AI deployment.
EU Act 1
- This module explores the foundational elements of the European Union's Artificial Intelligence Act, including its regulatory framework, risk-based classification system, and global impact on AI development and compliance for both EU and non-EU organizations.
EU Act 2
- This module delves into the second act of the European Union's AI regulations, providing learners with an understanding of compliance strategies for organizations. It covers key steps like system inventory, risk assessment, and stakeholder communication to help businesses align with EU AI standards.
NIST 1
- This module provides an overview of the NIST approach to AI regulations, focusing on the structure, purpose, and key concepts of the NIST AI Risk Management Framework. It helps learners understand how this framework compares to other regulatory models, such as the EU AI Act, and how it supports the development of trustworthy AI systems.
NIST 2
- This module delves into the continuation of NIST's guidelines for AI security and risk management, focusing on practical approaches to managing AI risks using the NIST AI Risk Management Framework. Learners will gain insights into key processes such as education, assessment, governance, and alignment with regulatory standards.
ISO 1
- This module explores the foundational aspects of ISO standards related to AI, focusing on the structure, benefits, and implementation of ISO 42001. Learners will gain an understanding of how these standards support ethical AI practices and risk management. The content prepares learners to apply AI governance frameworks in organizational settings.
ISO 2
- This module explores the second section of ISO's AI standards, focusing on the implementation of ISO 42001 in technology companies. It covers key concepts such as the PDCA cycle, risk assessments, performance evaluation, and certification processes. Learners will gain practical insights into managing AI systems through structured frameworks.
Google SAIF 1
- This module introduces the Google Secure AI Framework (SAIF) and explores its role in governing AI development. Learners will gain an understanding of security best practices and risk mitigation strategies for AI systems. The content emphasizes foundational knowledge and practical implementation in secure AI development.
Google SAIF 2
- This module explores the second part of Google's AI Framework, focusing on secure deployment of AI-powered chatbots in banking environments. It covers risk assessment, team roles, core security elements, and adaptive controls, providing learners with practical insights into AI security practices.
How to Use
- This module provides an in-depth exploration of AI regulatory frameworks, focusing on their practical application, relationship to governance, and the role of risk management in compliance with national and international regulations.
Conclusion
- This module provides a summary of the key concepts covered in the course and offers guidance on next steps for AI regulation compliance. Learners will gain clarity on how to apply their knowledge in real-world scenarios and understand the evolving landscape of AI governance.