Scientific Research Ethics: Introduction and Theoretical Framework

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Ethics and Law of AI

Delves into ethics and law in AI, focusing on values, normative ambitions, and ethical challenges.

Ethics: Three Big Moral Theories

Explores consequentialism, deontology, and virtue ethics, highlighting their strengths and challenges in making ethical decisions.

Ethics of Engineering: Introduction

Explores the principles of ethics in engineering, emphasizing the importance of acting ethically and analyzing ethical dilemmas.

Ethical Argumentation: Justifying Actions

Explores ethical argumentation, emphasizing the duty to justify actions and the hierarchy of goods at stake in ethical dilemmas.

Introduction to Ethics: Desire, Good Life, and Moral Reflection

Explores the desire for a good life with and for others, discussing the origins of ethics, the common good, and the ethical problem of partiality.

Ethics and Law of AI

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

Legal Framework of Animal Experimentation

Delves into the Swiss legal framework for animal experimentation, covering constitutional provisions, ethical evaluation, 3Rs principles, licensing procedures, roles and responsibilities, and global challenges.

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.

Data Ethics: Al & Equality

Explores data ethics, focusing on fairness, justice, and Al systems' broader implications.

Ethical Analysis Cycle: Major Normative Theories and Engineering Design

Explores major ethical theories and an engineering design approach to solve moral problems effectively.