Published Dec 26, 2022

#95 - Prof. IRINA RISH - AGI, Complex Systems, Transhumanism

AI researcher Irina Rish delves into transhumanism, advocating for AI as a tool to enhance human capabilities while exploring AGI alignment with human values and ethics, all through the lens of complex systems science and the philosophical dilemmas of free will.
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  • Emergence

    The emergence of intelligence from complex neural networks is a fascinating process. explains that neural network researchers aim for higher-level cognitive functions like planning and thinking to emerge naturally, rather than being manually programmed. This approach contrasts with rule-based systems, which often become obsolete as more generic systems outperform them 1. She highlights the importance of dynamics in neural networks, noting that the brain's constant activity, even in a resting state, is a key aspect of its complexity 2.

    The neural net is a function. Function is deterministic. Given input, it will produce output. Brain is not that there is input, it will produce output. And depending on the huge hidden state of the system and parameters of this dynamical system that will determine output to a large extent.

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    This dynamic nature is something current neural networks lack, as they wait passively for input, unlike the brain's continuous internal dynamics.

       

    Free Will

    The philosophical dilemmas of free will and intentionality in AI systems present intriguing challenges. and Irina discuss how intentionality in AI might be influenced by the current state of its dynamical system 3. Irina suggests that moral quandaries, like those faced by AI, cannot be pre-programmed but must develop through interaction with their environment 4.

    Compassion is byproduct of the selfish goal to survive in the group, because outside of a group it's much harder to survive.

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    This perspective implies that AI systems, much like humans, could develop ethical behaviors as a rational response to their surroundings.

       

    Intelligence

    Different perspectives on intelligence reveal the complexity of defining and understanding it. Irina and Tim explore how intelligence can emerge from simple processes, like reasoning and planning, which are functionalist views of intelligence 5. They also discuss the contrast between human and AI rationality, highlighting how AI's rational decisions might differ from human emotional responses 6.

    Intelligence or consciousness is probably much more than that and definitely much more than reasoning.

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    This exploration underscores the need to consider multiple perspectives and the potential for AI to augment human capabilities.

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