Framing and Narratives: Ethical Considerations in AI

Related lectures (28)

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

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

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

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

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

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

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

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

Delves into the impact of bias in machine learning models and the importance of evaluating potential harm in developing such systems.

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