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Related lectures (31)

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Ethical Analysis Methodology

Covers the methodology for ethical analysis of action sequences and decision-making processes based on evaluating impacts on 'goods at stake'.

Ethics and Law of AI

Explores the Ethics and Law of AI, focusing on data ethics, bias, and social justice in AI systems.

Ethics in Natural Language Processing: Addressing Bias and Misinformation

Covers ethical considerations in NLP, focusing on bias, toxicity, and misinformation.

The Ethics of AI: Autonomy and Responsibility

Explores the ethical aspects of AI, emphasizing autonomy, responsibility, and accountability in innovation processes.

Ethics in Disaster Risk Reduction

Explores ethics in Disaster Risk Reduction, emphasizing solidarity, prevention, and impartiality in disaster response and recovery.

Ethical Analysis: Introduction to Methodology

Introduces the methodology for ethical analysis and emphasizes the importance of impartial judgment and preventing violence through ethical duty.

Corporate Social Responsibility: Theory & Practice

Explores Corporate Social Responsibility, Stakeholder Management, and the transition to Corporate Sustainability, emphasizing the importance of balancing corporate and social interests.

Research Ethics: Human Subjects and Biobanks

Explores research ethics in human subjects, biobanks, informed consent, and historical ethical guidelines.

Social and Political Ethics: Arguing and Justifying

Explores the ethical obligation to act for the greater good and ensure equal rights and benefits distribution.

Ethics in Technology: Understanding AI Implications

Covers the ethical implications of artificial intelligence in technology, focusing on data, algorithms, design, sustainability, and accountability.