Hendawy, M. (CM) – Autonoming Child Online Safety in the Age of AI: From Control to Digital Co-Agency Across Cultures

Virtual Event

Children’s lives are now inextricably linked with AI-driven digital systems that shape learning, social interaction, and development. This has elevated child online safety to a central concern for families, policymakers, and educators. This makes Child online safety a wicked socio-technical problem, emerging from the complex interplay of social norms, platform incentives, cultural expectations, and rapidly […]

Robbins, A. (ECE) – How to train your organoid: goal-directed learning in biological neural networks

Hybrid Event

Artificial neural networks can now learn to play games, control robots, generate language, and solve complicated reasoning tasks, yet we still lack a clear understanding of how to directly guide learning in biological neural networks. We show that brain organoids can learn to solve a fundamental control task, balancing an inverted pendulum, through closed-loop electrophysiology. […]

Harrison, D. (CS) – Multi-Level Control in Neural Dialogue Generation: Style, Semantics, and Selection through Over-Generation and Ranking

End-to-end neural generation models have largely displaced the modular architectures that once gave dialogue system designers explicit control over what is said and how it is said. While these models produce fluent text, they collapse content planning, sentence planning, and surface realization into a single undifferentiated decoding step, sacrificing the controllable structure that earlier systems […]