Concept

Ethics of artificial intelligence

Related lectures (32)

Explores the legal framework of AI ethics, including the interpretation of laws, sources of legal norms, and the prohibition of harmful AI practices.

Efficient Methods in Natural Language Processing

Explores the efficiency of training large language models and the environmental impact of AI.

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Explores user management in digital humanities, focusing on modeling, motivation, and engagement, with insights from Twitter, Quora, and Wikipedia.

Machine Learning for Physicists/Chemists: Image Classification

Covers the fundamentals of machine learning for physicists and chemists, focusing on image classification tasks using artificial intelligence.

Ethics of AI: Data, Algorithms, and Integration

Explores the ethical challenges of AI, including data ethics, algorithm ethics, and societal impact.

Information Revolutions

Examines historical information revolutions, ethical data concerns, automation impact, and AI ethics.

Global Data Justice: Social Justice Approach to Data Governance

Explores global data justice, social fairness in data governance, algorithmic ethics, and the political responsibility of researchers.

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.

AI Ethics: Data Bias and Justice

Explores data bias, fairness, and justice in AI systems, highlighting the ethical challenges and considerations involved.

AI Ethics: EU Regulations Overview

Explores the EU regulations on AI ethics, emphasizing the AI Act's impact on internal markets, fundamental rights, and fair competition.

AI Ethics Regulation Overview

Provides an in-depth exploration of AI ethics regulation, covering legal questions, EU regulation, GDPR, UNESCO texts, and the proposal for AI regulation.

EPFL Campus Overview

Covers the EPFL campus facilities, research areas, fellowship process, and program requirements.