Ethical Considerations in Natural Language Processing

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (31)

Page 2 of 4

Natural Language Processing: Understanding Transformers and Tokenization

Provides an overview of Natural Language Processing, focusing on transformers, tokenization, and self-attention mechanisms for effective language analysis and synthesis.

Multilingual NLP: Challenges and Innovations

Covers the importance of multilingual NLP and the challenges in scaling language models.

The Human Body and Legal Rights

Explores legal and ethical aspects of the human body, detached parts, and organ harvesting, including ownership and research implications.

Classical Language Models: Foundations and Applications

Introduces classical language models, their applications, and foundational concepts like count-based modeling and evaluation metrics.

Transformers: Pretraining and Decoding Techniques

Covers advanced transformer concepts, focusing on pretraining and decoding techniques in NLP.

Introduction to Modern Natural Language Processing

Introduces the course on Modern Natural Language Processing, covering its significance, applications, challenges, and advancements in technology.

Neuro-symbolic Representations: Commonsense Knowledge & Reasoning

Delves into neuro-symbolic representations for commonsense knowledge and reasoning in natural language processing applications.

Machine Learning in Human Rights: Case Studies and Considerations

Delves into the application of machine learning in human rights investigations, emphasizing transparency, trust, and ethical considerations.

Legal Status of Human Body and Detached Parts

Explores the legal status of the human body and detached parts, focusing on personhood, property rights, and ethical considerations.

Law and Ethics in Life Sciences

Explores legal and ethical aspects of the human body, including ownership, rights, and regulations on biological material.