Seminar with Professor Geoffrey Hinton, at the Royal Swedish Academy of Engineering Sciences (IVA)

The speaker introduces a seminar featuring a Nobel Prize laureate in physics, Professor Jeffrey Hinton.

The speaker discusses technological shifts and their impact on human history, mentioning issues like the climate crisis and geopolitical tensions.

The speaker talks about Sweden's AI strategy, emphasizing its proactive and successful approach, focusing on strengthening the public sector and late adoption.

Professor Hinton discusses the risks of AI, including the potential for AI to surpass human intelligence, the limitations of current AI systems, and the importance of regulation.

The discussion delves into the intersection of ethics and AI, focusing on the importance of understanding embodied AI, human-machine interaction, and the implications for ethical design.

The speakers reflect on the need for interdisciplinary collaboration in AI development, highlighting the importance of integrating different fields for innovation and addressing complex challenges.

The conversation explores the future of AI, safety concerns related to AI development, the potential for superintelligent AI, and strategies for ensuring the safe advancement of AI technologies.

The speakers discuss the significance of establishing Providence in AI systems, evaluating the importance of ethical sensibility, design methods, and societal implications of AI applications.

The speakers address challenges in AI development, including data curation, ethical considerations, and the comparison of AI systems to children in terms of learning and ethical behavior.

Professor Hinton presents arguments regarding subjective experience in AI, inviting the audience to consider whether multimodal chatbots possess subjective experiences.

Discussion on subjective experience, perception, and how perceptual systems can be deceived.

Exploration of ethical considerations in AI development, responsibility, and governance.

Comparison between analog and digital intelligence, discussing efficiency, power usage, and potential limitations.

Debate on AI safety, regulation, and the role of governments in ensuring responsible AI development.

Importance of interdisciplinary collaboration in AI research to address complex global challenges.