University of Birmingham > Talks@bham > Theoretical computer science seminar > Algorithmic Human Development: What is it and why do we need it now?

Algorithmic Human Development: What is it and why do we need it now?

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If you have a question about this talk, please contact Achim Jung.

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In the face of our current existential problems and challenges, I will argue by making a comparison with the origin of AI that we now actually need to develop protocols to enhance emotional and social intelligence and creativity in the human individual. These non-invasive protocols would be based on neuroplasticity and long term potentiation and represent an interactive play between two internal agents: the emotion-driven Child and the thought-driven Adult. The protocols aim at neural retraining for optimal redevelopment and emotion self-regulation in the individual regarded as a biological cybernetic system with the targeted goals of becoming compassionate, cheerful and creative. Our proposed framework, named self-attachment, has parallels with Machine Learning as it employs the three basic paradigms of “substitution”, “iteration” and “prior updating” in the human individual. I will give the results of a pilot project on the subject and describe two Bayesian computational brain models for it: one based on Hebbian artificial neural networks and one on the Free Energy Principle. I will finally argue that learning to laugh, in particular to laugh at oneself, is the number one learning task in our age and present several protocols how this learning can be acquired.

This talk is part of the Theoretical computer science seminar series.

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