AI and FX Practical Course

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Related lectures (33)

Introduction to Human Rights

Introduces key human rights concepts, explores discrimination, social norms, and the impact of algorithms on rights.

Stereotypes and Discrimination

Examines the effects of stereotypes on behavior, hiring decisions, and gender equality.

Ethics and Fairness in Machine Learning

Explores the ethical implications of deploying machine learning algorithms and emphasizes the importance of fairness in decision-making processes.

AI Ethics: Bias, Responsibility, and Accountability

Explores AI ethics, addressing bias, responsibility, and accountability in algorithm design and outcomes.

Fairness in Algorithmic Decision-Making

Delves into the challenges of ensuring fairness in algorithmic decision-making processes, addressing biases and historical injustices in data.

Neighborhood Dynamics: Proximity and Social Interactions

Delves into neighborhood dynamics, exploring spatial proximity, social interactions, discrimination, and community relationships.

Decisions and Public Policies

Delves into the use of ML tools in public policy decisions and the challenges of fairness and accountability.

Decisions and Public Policies

Explores machine learning tools in public policy decisions, fairness issues, jobseeker profiling, 'Bob Emploi' evaluation, discrimination, and challenges in public employment services.

Homophobia and Discrimination: Effects and Strategies

Explores the emotional impact of discrimination, strategies for intervention, and the cultural context of LGBTQ+ discrimination.

PhD Students' Role in Addressing Inappropriate Behavior

Explores the role of PhD students in addressing inappropriate behavior in academic settings, emphasizing the importance of intervention and support.

Doctoral Witnesses: Taking Action Against Inappropriate Behaviors

Explores the responsibility of doctoral students to intervene in inappropriate situations and provide support.

Interaction and Biases in Learning

Discusses the impact of interaction, biases, and feedback on learning tools and educational settings.

Homophobia and discrimination: Understanding, reacting, and supporting

Emphasizes the importance of early intervention and the role of witnesses in reacting and supporting victims.

Understanding Natural and Social Sciences

Covers natural and social sciences, economic principles, sustainable development, and societal issues.

Discriminant Analysis: Bayes Rule

Covers the Bayes discriminant rule for allocating individuals to populations based on measurements and prior probabilities.

Global Compact for Migration

Explores the Global Compact for Safe, Orderly and Regular Migration, emphasizing pathways for regular migration and labour mobility agreements.

Politics Introduction: Metro Tunnels and Social Relationships

Explores political balance of power through metro tunnels, social relationships, discriminatory bridges, and socio-technical networks.

Ethical Considerations in AI

Explores legal and ethical aspects of AI, focusing on autonomy, responsibility, and societal impact.

Designing Learning Tools: Introduction

Introduces 'How People Learn: Designing Learning Tools' at EPFL, focusing on emotions, diversity, and ethics in engineering education.

Ethics in NLP Log in to Mediaspace to watch this video

Discusses the ethical implications of NLP systems, focusing on biases, toxicity, and privacy concerns in language models.

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