EU AI Act Literacy Fundamentals
Associated Courses
Course Description
AI literacy refers to the ability to understand, evaluate and interact with Artificial Intelligence (AI) systems effectively and responsibly. This is especially important as the EU AI Act, set to take effect in 2025, requires organisations to ensure that individuals involved in the development, deployment, and oversight of AI systems possess adequate AI literacy.
This one day instructor-led course is designed to equip participants with the essential knowledge and skills to meet these legal requirements. Through expert-led sessions and practical exercises, attendees will gain a clear understanding of AI, a summary of the Act’s requirements, strategies for responsible AI deployment and tools to align AI practices with regulatory standards.
Why Attend?
- Understand the key legal considerations of the EU AI act
- Learn strategies for compliance with AI governance and ethical standards
- Learn from industry experts and experienced professionals.
- Develop practical skills to implement GenAI responsibly within your organization.
- Network with like-minded professionals and expand your knowledge base.
At the end of the course you will receive a Certificate of Attendance.
Course Structure
This is a one day course split into the following modules:
Pre-course work 1: AI Fundamentals Reading
Read up on the basics of Artificial Intelligence (AI) to gain a foundational understanding before the session. This will help them grasp the concepts discussed during the session more effectively.
Session 1: Introduction to AI
This session provides a comprehensive overview of Artificial Intelligence (AI), including its history, key concepts, and how it functions in a business environment. Participants will learn about different types of AI, such as machine learning and deep learning, and explore real-world examples of AI applications in various industries.
Session 2: The Business Value of AI
This session focuses on the strategic alignment of AI with business goals. It covers how AI can drive business value by enhancing operational efficiency, improving customer experiences, and enabling data-driven decision-making. Participants will learn how to identify AI opportunities within their organization and develop a roadmap for AI integration.
Session 3: AI Literacy and the legal perspective
This session delves into the risks associated with AI, the current regulatory landscape, and the importance of AI governance and compliance. Participants will learn about key legal considerations, ethical issues, and best practices for implementing AI responsibly. The session also covers the roles and responsibilities of different stakeholders in ensuring AI compliance.
Session 4: Responsible AI Framework
This session introduces PwC’s Framework for implementing AI responsibly. Participants will learn about the principles of responsible AI, including fairness, transparency, accountability, and privacy. The session provides practical guidance on how to apply these principles in AI projects to ensure ethical and effective AI deployment.
Session 5: Gen AI in Action + Prompting Lab
In this hands-on session, participants will engage in a collaborative exercise to define the practical utility of AI for a specific business scenario. A scenario of AI in action will be demonstrated to the audience highlighting its features and challenges. The session includes a prompting lab where participants can experiment with AI prompts and receive feedback on effective prompting techniques.
Should Attend
This course is ideal for professionals and organisations impacted by the EU AI Act, including business leaders, compliance officers, legal advisors and AI project managers. It is particularly valuable for those responsible for AI governance, regulatory compliance and Integrating AI systems into business processes.
Whether you are new to AI regulation or need to enhance your understanding of AI, this course provides you with essential information to fulfill legal obligations and implement AI responsibly.
Prerequisites
There are no specific prerequisites
Assessment
There is no assessment. At the end of the sessions you will receive a Certificate of Attendance.
Key-Features
The sessions were designed to be highly interactive, engaging, practical and thought provoking.
Learning Outcomes
Pre-course work 1: AI Fundamentals Reading
Read Articles: Participants should read a selection of articles that provide an overview of AI, its history, key concepts, and different types of AI such as machine learning and deep learning.
Watch Videos: Participants can watch introductory videos on AI to visualize how AI works and see real-world examples of AI applications in various industries.
Reflect: Participants should reflect on how AI is currently being used in their industry and think about potential applications within their organization.
Session 1: Introduction to AI
- Understand the basics of AI and its applications in business.
- Identify different types of AI and their functionalities.
- Explore real-world examples of AI in various industries.
Session 2: The Business Value of AI
- Learn how to integrate AI into business strategies.
- Understand Success Metrics to measure the impact of AI on business performance.
- Identify AI opportunities within the organization.
Session 3: AI Literacy and the legal perspective
- Understand the legal and ethical considerations of AI.
- Implement governance and compliance frameworks for AI.
- Identify the roles and responsibilities in AI compliance.
Session 4: Responsible AI Framework
- Learn how to apply a responsible AI framework.
- Ensure ethical and effective AI deployment.
- Understand the principles of responsible AI.
Session 5: Gen AI in Action + Prompting Lab
- Gain hands-on experience with AI tools.
- Understand the practical applications of AI in business.
- Collaborate on defining AI solutions for business scenarios.
Course Structure
This is a one day course split into the following modules:
Pre-course work 1: AI Fundamentals Reading
Read up on the basics of Artificial Intelligence (AI) to gain a foundational understanding before the session. This will help them grasp the concepts discussed during the session more effectively.
Session 1: Introduction to AI
This session provides a comprehensive overview of Artificial Intelligence (AI), including its history, key concepts, and how it functions in a business environment. Participants will learn about different types of AI, such as machine learning and deep learning, and explore real-world examples of AI applications in various industries.
Session 2: The Business Value of AI
This session focuses on the strategic alignment of AI with business goals. It covers how AI can drive business value by enhancing operational efficiency, improving customer experiences, and enabling data-driven decision-making. Participants will learn how to identify AI opportunities within their organization and develop a roadmap for AI integration.
Session 3: AI Literacy and the legal perspective
This session delves into the risks associated with AI, the current regulatory landscape, and the importance of AI governance and compliance. Participants will learn about key legal considerations, ethical issues, and best practices for implementing AI responsibly. The session also covers the roles and responsibilities of different stakeholders in ensuring AI compliance.
Session 4: Responsible AI Framework
This session introduces PwC’s Framework for implementing AI responsibly. Participants will learn about the principles of responsible AI, including fairness, transparency, accountability, and privacy. The session provides practical guidance on how to apply these principles in AI projects to ensure ethical and effective AI deployment.
Session 5: Gen AI in Action + Prompting Lab
In this hands-on session, participants will engage in a collaborative exercise to define the practical utility of AI for a specific business scenario. A scenario of AI in action will be demonstrated to the audience highlighting its features and challenges. The session includes a prompting lab where participants can experiment with AI prompts and receive feedback on effective prompting techniques.
Should Attend
This course is ideal for professionals and organisations impacted by the EU AI Act, including business leaders, compliance officers, legal advisors and AI project managers. It is particularly valuable for those responsible for AI governance, regulatory compliance and Integrating AI systems into business processes.
Whether you are new to AI regulation or need to enhance your understanding of AI, this course provides you with essential information to fulfill legal obligations and implement AI responsibly.
Prerequisites
There are no specific prerequisites
Assessment
There is no assessment. At the end of the sessions you will receive a Certificate of Attendance.
Key-Features
The sessions were designed to be highly interactive, engaging, practical and thought provoking.
Learning Outcomes
Pre-course work 1: AI Fundamentals Reading
Read Articles: Participants should read a selection of articles that provide an overview of AI, its history, key concepts, and different types of AI such as machine learning and deep learning.
Watch Videos: Participants can watch introductory videos on AI to visualize how AI works and see real-world examples of AI applications in various industries.
Reflect: Participants should reflect on how AI is currently being used in their industry and think about potential applications within their organization.
Session 1: Introduction to AI
- Understand the basics of AI and its applications in business.
- Identify different types of AI and their functionalities.
- Explore real-world examples of AI in various industries.
Session 2: The Business Value of AI
- Learn how to integrate AI into business strategies.
- Understand Success Metrics to measure the impact of AI on business performance.
- Identify AI opportunities within the organization.
Session 3: AI Literacy and the legal perspective
- Understand the legal and ethical considerations of AI.
- Implement governance and compliance frameworks for AI.
- Identify the roles and responsibilities in AI compliance.
Session 4: Responsible AI Framework
- Learn how to apply a responsible AI framework.
- Ensure ethical and effective AI deployment.
- Understand the principles of responsible AI.
Session 5: Gen AI in Action + Prompting Lab
- Gain hands-on experience with AI tools.
- Understand the practical applications of AI in business.
- Collaborate on defining AI solutions for business scenarios.
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