Ethics in Disaster Risk Reduction

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Related lectures (31)

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The Ethics of AI: Autonomy and Responsibility

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

Decisions and Public Policies

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

Ethics of Scientific Research

Explores the ethics of knowledge and actions, emphasizing good thinking as the basis of morality and advocating for a holistic approach to ethical conduct.

Bias in Machine Learning

Delves into the impact of bias in machine learning models and the importance of evaluating potential harm in developing such systems.

Ethics and Law of AI

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

Predicting student success

Explores the ethical implications of predicting student success using analytics.

Designing Learning Tools: Introduction

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

Robot Trial: Guilt or Innocence

Explores a courtroom debate on whether a robot is guilty of endangering a human life.

Deep Learning: Principles and Applications

Covers the fundamentals of deep learning, including data, architecture, and ethical considerations in model deployment.

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.