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Online 360-degree Video Workshop (SEPA360)
(10/04/20)Check out the recent talk on Human-centric AI challenges and opportunities by Sabrina Kirrane, which was presented as part of the AI & Policy track of the 2020 Applied Machine Learning Days Conference. In the talk Sabrina argues that applications that are able to understand constraints (in the form of goals, preferences, norms and usage restrictions), together with trust and transparency mechanisms, will give citizens more control over how their data is utilised, and will foster trustworthiness in the respective systems.
Applied ML Days Track Info: AI Policy | Youtube Video of the Talk
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The Institute for Complex Networks focuses on understanding and advancing complex networked systems. These systems, which include social networks, power grids, transportation systems, and software supply chains, are characterized by underlying network structures. To achieve this understanding, the Institute analyzes data produced by these systems and the interactions within and between networks. The ultimate goal is to improve system design and engineering practices, enhance system control and observability, ensure compliance with legal requirements, and increase resilience to attacks or failures. Essential building blocks include methods, techniques, and tools from network analysis, data science, system and software engineering, and control and governance mechanisms. The Institute has a strong track record, evident through its top-tier publications and involvement in national and EU projects. Additionally, it equips students with technical knowledge and skills for managing complex networked systems in real-world contexts.