Ethics of AI: Impact on Labor, Social Interactions, and War

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

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

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

Explores ethical challenges in engineering, focusing on ownership, freedom, labor, and the ethics of virtues.

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

Explores the ethical implications and risks of AI, focusing on the Update Al Act and high-risk AI systems.

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

Explores the regulations governing biomedical research with human subjects, emphasizing the balance between innovation and subject protection.

Explores challenges in developing normative news recommender systems and the ethical considerations in AI, journalism, and diversity.

Explores Wassim Daouedi's research journey, emphasizing excellence, flexibility, and the impact of artificial intelligence.