Ethics of AI in Finance

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Related lectures (29)

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Robot Trial: Guilt or Innocence

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

Generative AI and Reinforcement Learning: Future Directions

Explores advancements in generative AI and reinforcement learning, focusing on their applications, safety, and future research directions.

Ethics and Law of AI: Reflections and Challenges

Reflects on the challenges of defining intelligence and self-consciousness in the context of AI, exploring ethical implications and the boundaries of artificial entities in society.

Anonymity and Accountability

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

Faster Gaze Prediction: Dense Networks and Fisher Pruning

Explores the development of faster architectures for saliency prediction using deep networks and pruning methods.

Artificial Intelligence and Ethics

Delves into the ethical implications of artificial intelligence and the use of lethal force in autonomous robots.

Ethics in NLP

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

Ethics in Artificial Intelligence: Key Considerations

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

Critical Data Studies: Introduction and Models

Introduces the Critical Data Studies course, covering data models, trust, reproducibility, biases, and ethics.

Framing and Narratives: Ethical Considerations in AI

Addresses the significance of framing and narratives in AI ethics and their impact on technology development and societal perceptions.