EU AI Act Course
The EU AI Act online course provides an in-depth look at the legislation’s core components. It explores the stipulations for AI systems deemed high-risk, as well as rules on transparency and accountability. Participants will gain a thorough grasp of the regulations guiding AI creation and implementation across EU member states.
3 Hours On-Demand-Video
6 Articles & 2 Materials to Download
Usable on Phone, Tablet and TV
Unlimited Lifelong Access
Chapter 1
Join Mark Kelly in unraveling the EU AI Act, safeguarding ethical AI practices and navigating the evolving landscape of AI governance in Europe.
Led by Mark Kelly, founder of AI Ireland, Lesson 1 introduces the EU AI Act, a pivotal regulatory framework proposed by the European Union. Emphasising accountability and data protection, the Act aims to address ethical concerns and ensure transparency in AI practices. It applies broadly to AI systems within the EU, with regulatory bodies overseeing enforcement and promoting trustworthy AI development through voluntary codes of conduct. Join us to explore the Act‘s intricacies and navigate the evolving landscape of AI
governance in Europe.
Join Mark Kelly in Lesson 2 as he deciphers key terms of the EU AI Act, paving the way for ethical AI governance and compliance within the European Union.
In Lesson 2, Mark Kelly explores eight key terms of the EU AI Act, emphasising their role in shaping ethical AI governance. From defining High-Risk AI Systems to outlining Transparency Requirements and Accountability Measures, the lesson underscores the Act‘s focus on promoting Trustworthy AI and responsible practices. It also introduces mechanisms like Voluntary Codes of Conduct and Certification Schemes, highlighting
efforts to ensure compliance and ethical integrity in AI development and deployment.
Chapter 2
Unlocking the secrets of data protection in Lesson 1 with Mark Kelly: Dive into transparency, fairness, and accountability obligations to safeguard personal data and build trust in AI systems within the EU.
This Lesson focuses on Data Protection Requirements within the EU AI Act, highlighting their importance in safeguarding personal data used by AI systems. Led by Mark Kelly, the lesson defines these requirements and their principles of privacy, transparency, and accountability. Examples illustrate how transparency, data minimisation, fairness, and data subject rights are applied in various AI contexts, emphasising the need for lawful, fair, and transparent data processing to build trust and mitigate risks.
Dive into Lesson 2 with Mark Kelly to unravel Transparency and Fairness Obligations: Essential keys for trust and accountability in EU AI systems, paving the way for responsible deployment.
In Lesson 2, Mark Kelly explores Transparency and Fairness Obligations within the EU AI Act, crucial for accountability and trust in AI systems. He outlines requirements for all AI systems, with specific emphasis on high-risk ones, alongside obligations for systems interacting with individuals or generating deep fakes. Harmonised standards aid in compliance, essential for responsible AI deployment in the EU.
Dive into Lesson 3 with Mark Kelly: Unveil the pivotal role of Human Oversight in EU AI governance, ensuring transparency and accountability for responsible AI advancement.
Lesson 3 explores the EU AI Act‘s focus on Human Oversight and Decision-Making, crucial for transparency and accountability in AI systems. Mandating rigorous assessment procedures for high-risk AI, the Act emphasises human involvement and transparent decision-making processes, guiding responsible AI advancement within the EU.
Chapter 3
Lesson 1 unveils the risks under the EU AI Act: Navigate compliance, transparency, and ethics for business success in the evolving AI landscape within the European Union.
Lesson 1 of Chapter 3 delves into the potential risks for businesses under the EU AI Act, emphasising compliance, risk assessment, transparency, innovation, ethics, and international cooperation. Non-compliance may lead to penalties and reputational damage, while transparency is crucial to build trust. Compliance requirements may increase costs and bureaucratic hurdles, challenging innovation. Prioritising ethics is vital to prevent backlash, and international cooperation is key despite regulatory complexities.
Dive into Lesson 2 as we unravel the structured process of implementing necessary changes under the EU AI Act: Essential steps for regulating AI‘s dynamic landscape effectively within the European Union.
Lesson 2 explores the structured process of implementing necessary changes under the EU AI Act, ensuring its effectiveness in regulating the dynamic AI landscape. From continuous monitoring and stakeholder feedback to periodic reviews and international collaboration, the lesson emphasises adaptability and transparency in navigating AI governance challenges.
Join Mark Kelly in Lesson 3 as we unravel the pivotal role of stakeholder engagement: Empowering diverse voices for ethical AI governance within the European Union.
Lesson 3 highlights the critical role of stakeholder engagement in AI governance under the EU AI Act. Led by Mark Kelly, the lesson emphasises open dialogue, information sharing, consultation, education, and feedback mechanisms as essential components of effective engagement. By fostering constructive communication and collaboration, the EU strengthens the legitimacy, effectiveness, and societal acceptance of AI regulations,
promoting responsible AI innovation and deployment.
Chapter 4
Dive into the regulations of the EU AI Act: Unveil the prohibitions, implications, and opportunities for ethical AI governance within the European Union.
In this chapter, we explore the prohibitions outlined in the EU AI Act, aimed at safeguarding individuals‘ rights and safety. It prohibits AI systems violating fundamental rights, engaging in social scoring, conducting real-time remote biometric identification without stringent privacy measures, and manipulating human behavior to cause harm. These regulations may disrupt industries reliant on such systems, prompting adaptation and innovation while prioritising ethical AI principles.
Unlock the accountability measures of the EU AI Act: Essential steps for ensuring transparency and compliance in AI governance within the European Union, paving the way for ethical AI deployment.
In this lesson, we delve into the accountability measures outlined in the EU AI Act, ensuring organisations developing and deploying AI systems are held responsible for their actions. These measures include Transparency Requirements, Documentation Obligations, Record-Keeping Requirements, Human Oversight and Intervention, Compliance Audits and Assessments, and Accountability Mechanisms for Errors and Biases. These measures aim to foster trust, transparency, and compliance with regulatory standards, ensuring the safety and protection of the rights of EU citizens and companies. Stay tuned for the next lesson, where we will explore the remedies and penalties for companies violating the EU AI Act.
Discover the penalties and remedies in the EU AI Act: Navigate compliance for ethical AI
governance in the European Union.
In our latest lesson, we explored the consequences of breaching the accountability measures in the EU AI Act. Violations can lead to fines, legal liability, and corrective actions. Conversely, remedies include injunctions, reputational repair, training, and compliance monitoring. Compliance is crucial to avoid legal and reputational damage, highlighting the importance of ethical AI governance in the EU.
Chapter 5
Dive into the ethical landscape of the EU AI Act: Prioritising fairness, transparency, and accountability across industries, ensuring AI benefits society while upholding fundamental rights.
In our latest lesson, we explored the ethical use of AI within the EU AI Act, its significance, and its impact on industries. Ethical AI prioritises fairness, transparency, and accountability, ensuring societal benefits while upholding fundamental rights. It‘s crucial across sectors like healthcare, finance, education, transportation, and retail. Prioritising ethics within the EU AI Act safeguards against bias and discrimination, promoting responsible AI deployment and societal well-being.
Dive into the EU AI Act‘s fight against bias and discrimination: forging a path to ethical AI governance in the European Union.
In this lesson, we explored how the EU AI Act addresses bias and discrimination in AI, crucial for responsible development and deployment. It highlights key mechanisms like data quality, algorithmic transparency, impact assessments, and oversight, promoting fairness and accountability. By prioritising these measures, the EU aims to build trust and ensure that AI technologies benefit society ethically.
Navigate the ethical maze: The EU AI Act guides companies toward responsible AI with transparency, oversight, and continuous evaluation.
The EU AI Act emphasises ethical decision-making to ensure responsible AI development and deployment. It includes principles-based approaches, risk assessments, ethical guidelines, human oversight, transparency, and continuous monitoring.
Chapter 6
Navigate compliance waters smoothly: With a step-by-step approach, the EU AI Act becomes a guidebook for ethical AI deployment.
Preparing for compliance with the EU AI Act involves understanding regulatory requirements, assessing AI systems, implementing risk mitigation measures, and ensuring transparency and accountability. Companies must maintain detailed documentation, provide training, and regularly monitor compliance to avoid penalties. Through proactive measures and adherence to regulatory standards, companies can navigate the
complexities of AI governance and promote ethical AI practices.
Crafting your compliance action plan for the EU AI Act: Navigate the complexities with clarity and collaboration.
Building an action plan for compliance with the EU AI Act involves conducting assessments, identifying gaps, prioritising measures, allocating resources, and engaging stakeholders. Establishing clear timelines, monitoring compliance, documenting measures, and staying updated are essential for effective implementation. Through systematic planning and collaboration, organisations can navigate compliance requirements and ensure responsible AI deployment in the European Union.
Unlocking innovation with the EU‘s AI innovation package: Empowering startups for a trustworthy AI future.
The European Commission has introduced an AI innovation package to support startups and SMEs in developing trustworthy AI solutions aligned with EU values and regulations. This package includes access to supercomputers, financial support through the Large AI Grand Challenge, and the establishment of an AI Office for governance assistance. These initiatives aim to facilitate compliance with the EU AI Act and foster innovation in AI across the European Union.
Gain exclusive insights from Dragos Tudorache, VP at Renew Europe Group and Member of the European Parliament.