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Lecture
AI Ethics Narratives
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Related lectures (32)
Appropriation of Housing: Gender and Class Perspectives
Explores the reciprocal meanings between inhabitants and their homes, focusing on class and gender differences.
Ethics and Law of AI: Feedback and Challenges
Discusses student feedback, challenges in balancing laws and ethics, and the need for more critical thinking in AI ethics.
Value Tensions in AI: Mitigating Harms and Fostering Benefits
Delves into value tensions in AI ethics, balancing inclusion and privacy.
Information Revolutions
Examines historical information revolutions, ethical data concerns, automation impact, and AI ethics.
Regulation & Policies: Demystifying the EU AI Act
Explores the EU AI Act, covering essential requirements and high-risk systems.
AI Ethics: Data Bias and Justice
Explores data bias, fairness, and justice in AI systems, highlighting the ethical challenges and considerations involved.
Ethics and Law of AI
Covers the Ethics and Law of AI, addressing relevant ethical and legal questions and providing insights on AI regulation.
Efficient Methods in Natural Language Processing
Explores the efficiency of training large language models and the environmental impact of AI.
Introduction: gender and androcentrism
Explores the interpretation of masculine language and inclusive communication tools.
Gender and Class in Housing Appropriation
Explores gender and class dynamics in housing appropriation, emphasizing the importance of listening to women's perspectives and rethinking spatial solutions to social issues.
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.
Gender and Environmental Challenges
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Explores the influence of gender on environmental attitudes and behaviors, emphasizing the significant role of gender in sustainability efforts.
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