
Understand the regulatory landscape of AI, including privacy, intellectual property, and civil rights concerns, plus how the European AI Act and the U.S. executive order guide safe AI.
Explore the AI regulatory landscape, drivers, and real-life use cases to explain why regulation matters. Explore EU AI act, US executive order on AI, ISO 42001, and NIST AI 100-1.
Explore the global AI regulations landscape and standards through practical, real-world examples in this introductory course. Understand why we regulate AI and how standards guide practical use.
Artificial intelligence is a field of systems that think and act like humans, including machine learning, deep learning, and generative AI, with regulation defining AI systems by autonomy and outputs.
Regulating AI matters to curb biases, protect privacy, and prevent misuse. Explore cases like Microsoft Tay, Cambridge Analytica, and COMPAS to see why ethical guidelines and regulation are essential.
Explore why AI regulation matters across health care, finance, autonomous driving, and customer service, focusing on privacy, fairness, safety, and accountability.
Examine how ai regulation progresses from laws to 2022 initiatives, comparing eu ai act, orders, g7 processes, and un advisory bodies, with emphasis on ethical use, llm, and generative ai.
Navigate the EU AI Act, which applies a risk-based approach, defining risk levels: unacceptable, high, limited and minimal; it emphasizes safety, traceability, explainability, transparency, governance, and phased implementation to 2027.
Promote safe, secure, and trustworthy AI. Foster innovation with guidance from NIST under the US executive order on AI, signed October 13, 2023, and address workforce protection and civil rights.
Explore the g7 Hiroshima ai process, a guidance framework with four pillars—priority risks, guiding principles, international code of conduct, and project-based cooperation—for responsible ai governance, transparency, and inclusive global participation.
The United Nations advisory board on artificial intelligence coordinates global governance, bringing interdisciplinary experts from governments, private sector, and civil society to ensure diverse perspectives and promote responsible AI use.
Discover ISO 42 001, an AI management system standard for establishing, implementing, maintaining, and improving responsible AI within organizations. It covers governance, data quality, risk, ethics, transparency, security, and certification.
Explore the NIST AI 100-1 risk management framework, a comprehensive standard that identifies harms, measures risks, and guides governance, lifecycle stages, data, and model considerations to build trustworthy AI.
Welcome to this new course about AI Regulations and Standards! This course offers a comprehensive guide to the evolving regulations governing Artificial Intelligence (AI) across various regions and sectors.
As AI technologies continue to advance and integrate into our daily lives, understanding the regulatory framework becomes crucial for anyone involved in AI development, deployment, or policy-making.
In this course we will start by explaining the fundamental concepts of AI, including machine learning, deep learning, and generative AI and then we will discuss the Importance of AI Regulation and why regulating AI is essential for ethical and responsible use and privacy protection. We will explore in this context multiple examples of AI usage in Healthcare or Autonomous Vehicles where the need for regulation is quite strong.
The course will also go into details to explain multiple regulatory frameworks: National, Regional and International.
For instance, you will learn the main foundations of the European EU AI Act and the United States Executive Order on AI. The course will also offer you insights about the G7 Hiroshima AI Process as well as the UN Advisory Board on AI.
On top of the regulatory frameworks, this course will also share clear explanations on the ISO 42001, on how to implement and maintain AI Management Systems and the NIST AI 100-1 and its related AI Risk Management Framework (RMF).
This course is for Everyone: Whether you're an AI enthusiast, professional, or policymaker, this course is designed for anyone curious about AI and its regulatory landscape. No technical skills are required, and this course is accessible to beginners and does not require any prior technical knowledge. It is Ideal for curious learners, eager to understand the intersection of AI technology and regulatory frameworks.
This course is brought to you by Ahmed Fessi. who brings over 15 years of experience in Data, AI, Digital Transformation, and enterprise architecture. He is an executive, Chief Transformation & Information Officer with a wealth of knowledge in various industries, including FinTech, manufacturing, services, telecommunications, and transport. Ahmed is also an author, a writer on Medium, and a Udemy instructor with best-selling courses and over 27,000 students.
Join this course now and equip yourself with the state-of-the-art knowledge to navigate and leverage AI regulations effectively. Enroll now and stay ahead in the rapidly evolving world of AI!