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Ethics and Law of AI
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Related lectures (31)
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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 and Law of AI
Explores the Ethics and Law of AI, focusing on data ethics, bias, and social justice in AI systems.
Information Revolutions
Examines historical information revolutions, ethical data concerns, automation impact, and AI ethics.
Generative AI and Reinforcement Learning: Future Directions
Explores advancements in generative AI and reinforcement learning, focusing on their applications, safety, and future research directions.
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: Business Impact
Delves into the business impact of AI, ethical challenges, and consumer trust in technology.
AI Ethics: Trustworthy AI and Ethical Principles
Discusses trustworthy AI, ethical principles, and US AI regulation.
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 Engineering: Introduction
Explores the principles of ethics in engineering, emphasizing the importance of acting ethically and analyzing ethical dilemmas.
