Lecture

Framing and Narratives: Ethical Considerations in AI

Related lectures (28)

Social and Political Ethics: Arguing and Justifying

Explores the ethical obligation to act for the greater good and ensure equal rights and benefits distribution.

Ethics in Natural Language Processing: Addressing Bias and Misinformation

Covers ethical considerations in NLP, focusing on bias, toxicity, and misinformation.

Ethics in Artificial Intelligence: Key Considerations

Discusses the ethical implications of artificial intelligence for engineers and its regulatory context.

Ethics in Technology: Understanding AI Implications

Covers the ethical implications of artificial intelligence in technology, focusing on data, algorithms, design, sustainability, and accountability.

Ethics and Law of AI

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

Ethics of AI: Data, Algorithms, and Integration

Explores the ethical challenges of AI, including data ethics, algorithm ethics, and societal impact.

Ethics and Law of AI

Delves into different ethical theories and thought experiments in the context of AI, exploring the challenges of defining AI.

Ethics of AI

Explores the Ethics of AI, focusing on Corporate Digital Responsibility and the role of government in regulating AI initiatives.

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 of Engineering: Introduction

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

Global Health Issues: Challenges and Ethics

Explores global health challenges, ethics, and regenerative medicine interdisciplinary aspects.

Ethical Analysis Cycle: Major Normative Theories and Engineering Design

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

Ethics in NLP

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

Ethics and Law of AI

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

Neuronal Dynamics of Cognition: Decision Models

Explores decision models in neuronal dynamics of cognition, covering competitive dynamics, perceptual decision making, and the theory of decision dynamics.

AI & Ethics: Business Impact

Delves into the business impact of AI, ethical challenges, and consumer trust in technology.

Ethics in AI: A Deep Dive

Explores the ethical implications of AI, emphasizing transparency and accountability in its applications.

Ethical Argumentation: Justifying Actions

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

Anonymity and Accountability

Explores the significance of anonymity in avoiding judgment based on personal characteristics and the need to balance it with accountability.

Global Health Challenges: Regenerative Medicine and Ethics

Explores global health challenges in regenerative medicine and ethics, guiding students on project development and critical appraisal.