Aarhus, Denmark

From Data to AI: Responsible Pathways

when 2 July 2024 - 12 July 2024
language English
duration 2 weeks
credits 5 EC
fee EUR 352

This course examines the dynamic interplay of data and AI, and provides a holistic view of how AI solutions can be deployed ethically, operationally, and strategically.

Beginning with a comprehensive overview of the modern data ecosystem, the students learned about the essential elements of Data Governance. These include principles guiding this domain, the significance of a well-structured governance framework, and the ripple effects of AI-driven decision-making. Integrating innovation and accountability is one of the tenets of AI management.

As the course delves more profoundly, it unravels strategies pivotal to AI Management. The course provides insights into the operational challenges faced by organizations in AI adoption. By engaging with real-world case studies, students gain firsthand knowledge of how to align AI projects with overarching business objectives, ensuring both feasibility and ethicality. The course then moves to the practicality of Responsible AI. This course emphasizes the importance of understanding and mitigating AI risks to ensure that AI deployments are devoid of inadvertent biases and societal repercussions.

The latter modules venture into the realm of Explainable AI (XAI). Here, students are equipped with tools and techniques to elucidate AI decision-making processes, thus making these once-black-box algorithms understandable and trustworthy. This course accentuates the undeniable importance of XAI, especially in sectors where AI decisions directly impact human lives. Concluding the journey, the course emphasized AI Risk Mitigation. Best practices were showcased, equipping students to anticipate, identify, and manage potential pitfalls of AI applications. This culminates in a comprehensive understanding of building a proactive culture of AI safety and responsibility.

By traversing these meticulously designed modules, students will gain a profound understanding of the theoretical constructs and pragmatic challenges of Data Governance and Responsible AI. They are sculpted into astute professionals capable of navigating the complexities of ethical AI deployment in any organizational milieu, championing transparency, fairness, and accountability.

Course leader

Arif Perdana

Target group

Master's Level

Fee info

EUR 352: EU/EEA citizens
EUR 875: NON EU/EEA citizens

Scholarships

No scholarships available

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