Course

HUM-392: The Ethics and Law of Artificial Intelligence

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Lectures in this course (21)

AI and FX Practical Course

Introduces the AI and FX practical course, focusing on weekly readings and discussions on ethical and legal aspects of AI.

Autonomy and Responsibility

Explores the concepts of autonomy and responsibility, emphasizing the conditions for moral accountability and the role of emotions in decision-making.

AI Ethics: Data Bias and Justice

Explores data bias, fairness, and justice in AI systems, highlighting the ethical challenges and considerations involved.

AI Ethics: EU Regulations Overview

Explores the EU regulations on AI ethics, emphasizing the AI Act's impact on internal markets, fundamental rights, and fair competition.

AI Ethics: Essay Structure and Content

Covers the structure and content requirements for an AI ethics essay.

Ethical Considerations in AI

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

Ethics and AI

Explores the ethical implications of AI development and decision-making, emphasizing normative frameworks and societal values.

Understanding Autonomy

Explores the challenges and distinctions between human and artificial autonomy, touching on ethical implications and the conditions required for true autonomy.

Understanding Intelligence and AI Ethics

Explores the definition of intelligence in AI and humans, the role of communication and emotion, and ethical considerations in AI regulation.

Ethical Issues in AI

Explores the ethical challenges of artificial intelligence, including explainability, security, singularity, and societal impact.

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.

Ethics of AI: Programming Virtue into Robots

Explores the ethics of technology and algorithms in AI, emphasizing the importance of programming virtuous behavior into robots.

Ethical Challenges of AI: Responsibilities and Norms

Explores ethical challenges posed by robots, emphasizing research question formulation and essay structure.

Ethics in AI: Consequentialism and Categorical Imperative

Explores consequentialism and categorical imperative in AI ethics, emphasizing the importance of defining values and justifications for ethical decision-making.

Ethics and AI: Justification and Tradition

Explores the justification behind ethical positions, the role of tradition, and the distinction between ethics and the law.

Ethics: Three Big Moral Theories

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

AI Ethics and Justice

Explores the ethical implications of AI on justice and fairness in society, emphasizing the importance of considering social aspects in decision-making.

AI Ethics: Bias, Responsibility, and Accountability

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

AI Ethics Narratives

Explores the impact of narratives on AI development, the role of different producers in shaping narratives, and the concept of soft power in international relations.

AI Ethics Regulation Overview

Provides an in-depth exploration of AI ethics regulation, covering legal questions, EU regulation, GDPR, UNESCO texts, and the proposal for AI regulation.