The Course
Step into the world of ethical machine decision-making with our riveting exploration into the frameworks and policies that underpin responsible AI deployment. We'll navigate the complex landscape of AI governance, diving into the key principles of transparency, fairness, and accountability, and uncover how these concepts are operationalized in various industries. Engage with the critical questions of who sets AI standards and how to enforce them, while gaining insights into risk assessment methodologies that ensure AI systems are designed and used in a socially responsible manner.
In this journey, we'll unpack real-world case studies illuminating the powerful impact of effective AI governance in fields ranging from healthcare to finance, and from automotives to public policy. By honing the skills to develop robust governance strategies, you'll be uniquely positioned to lead organizations through the challenges of ethical AI implementation and to leverage this technology for the greater good. Equip yourself with the knowledge to not just shape the AI-enhanced future but to do so with an unwavering commitment to the ethical implications for society at large.
What you will learn
When I first put this course together, I focused on making it accessible and really valuable to someone just like you, stepping into this ever-evolving space. My aim was to tailor the content to provide a robust foundation in understanding how to effectively manage and regulate AI technologies. It's been structured to give you clear insights and practical knowledge, with each module building upon the last. You'll find that it's filled with relevant case studies, interactive discussions, and policy design exercises to ensure that not only do you grasp the theoretical underpinnings, but you also gain hands-on experience that will be incredibly helpful as you navigate the complexities of this field. Rest assured, I've prioritized organization and clarity, so as you progress through the material, you'll always know exactly where you are and where you're headed next.
Curriculum
Your instructor
Leveraging over two decades of distinguished experience, Jorge Carrillo, PhD LLM, is a recognised expert in enhancing cybersecurity and data protection strategies for international organisations. His professional journey spans the intricate dynamics of Artificial Intelligence (AI) Governance, where technology, ethics, and policy intersect to shape the future of AI development and control. Jorge specialises in data protection and information security, underscored by a proven track record leading high-impact European projects centred on privacy, governance, and compliance.
His extensive background includes pivotal roles, such as Privacy Manager at Microsoft, where he ensured that software products adhered to stringent privacy and compliance standards. Currently, he offers consulting services in IT, Privacy, and AI through Privacy Tech. This hands-on experience provides him with profound insights into the evolving landscapes of data privacy and the ethical application of AI, enabling him to offer expert advice on aligning AI use with regulatory requirements and the highest ethical standards.
Deeply committed to advancing the field, Jorge is not only a practitioner but also a dedicated educator. He holds a PhD in Applied Informatics and a Master of Laws (LLM), and is a DPO certified by the Spanish Data Protection Authority. He shares his expertise as an experienced mentor, lecturer, and speaker, having served as an IAPP Faculty Member, training privacy professionals worldwide, and as an Associate Lecturer, delivering courses at the undergraduate and master's levels. His engaging approach equips the next generation of tech professionals and policymakers with the critical knowledge needed to navigate and responsibly influence the realm of artificial intelligence, ensuring that AI enhances human capabilities and benefits society in an ethical manner.
Comprehensive
Exploring the Breadth of AI Policy and Regulation
Strategic
Designing Future-Proof Frameworks for AI Management
Ethical
Ensuring Responsibility and Fairness in AI Applications