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Philosophy of artificial intelligence
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Related lectures (32)
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Neuromorphic Electronic Skins: Advancements and Challenges
Explores the advancements and challenges in neuromorphic electronic skins, aiming to enable intuitive use of replacement limbs and autonomous robots.
Machine Learning and Artificial Intelligence: Karl
Covers information processing, systems making decisions, big data, and artificial intelligence.
EPFL IC Faculty Overview
Gives an overview of EPFL's School of Computer and Communication Sciences, highlighting its top-ranked faculty and research areas.
The Ethics of AI: Autonomy and Responsibility
Explores the ethical aspects of AI, emphasizing autonomy, responsibility, and accountability in innovation processes.
Legal Implications of Data Processing and AI
Explores legal obligations and ethical considerations in data processing and AI, covering consumer credit, data protection, and automated decision-making.
Philosophical Perspectives on Exact Sciences
Covers philosophical perspectives on exact sciences, essay writing, and course schedule.
Understanding Intelligence and AI Ethics
Explores the definition of intelligence in AI and humans, the role of communication and emotion, and ethical considerations in AI regulation.
Socio-Technical Analysis
Explores socio-technical network analysis, controversies, thematic coding, and the impact of AI in the workplace.
Landscape and Generalisation in Deep Learning
Explores the challenges and insights of deep learning, focusing on loss landscape, generalization, and feature learning.
Non-Conceptual Knowledge Systems
Delves into the impact of deep learning on non-conceptual knowledge systems and the advancements in transformers and generative adversarial networks.
Machine Learning Theory: High-Dimensional Perspectives
Explores high-dimensional perspectives in machine learning theory, shedding light on new insights and challenges.
Knowledge Representation: Introduction
Covers knowledge representation in AI, logical inference, and applications in various domains.
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