TIM-6072 v1

Afroogh, S., Akbari, A., Malone, E. et al. Trust in AI: progress, challenges, and future directions. Humanit Soc Sci Commun 11, 1568 (2024). https://doi.org/10.1057/s41599-024-04044-8

The study on the evolving landscape of trust in artificial intelligence highlights key factors that influence user confidence and adoption. The article examines both technical and non-technical dimensions of AI trustworthiness, including safety, accuracy, robustness, ethics, and legal considerations.

Al-kfairy, M., Mustafa, D., Kshetri, N., Insiew, M., & Alfandi, O. (2024). Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective. Informatics, 11(3), 58. https://doi.org/10.3390/informatics11030058

The article examines the ethical concerns surrounding generative AI technologies, emphasizing privacy, data protection, copyright infringement, misinformation, biases, and societal inequalities necessary for students to understand the impact AI has on various contexts.

Ryan, M., de Roo, N., Wang, H. et al. AI through the looking glass: an empirical study of structural social and ethical challenges in AI. AI & Soc (2024). https://doi.org/10.1007/s00146-024-02146-0

The article examines how professionals perceive AI but focuses on broad structural challenges including injustice, inequality, designer responsibilities, addressing governance, and the need for diverse stakeholder groups.

Özer, M. (2024). Potential Benefits and Risks of Artificial Intelligence in Education. [Eǧitimde Yapay Zekâ Uygulamalarının Potansiyel Yararları ve Riskleri] Bartin Üniversitesi Egitim Fakültesi Dergisi, 13(2), 232-244.

Article explores transformative effects of AI on educational systems, highlighting both opportunities and challenges and emphasizes the importance of AI literacy.

Allied Media Projects. (2020). The People’s Guide to AI. https://alliedmedia.org/wp-content/uploads/2020/09/peoples-guide-ai.pdf

The guide reviews a variety of societal impacts relating to the use of artificial intelligence, emphasizing accessibility and equity. The guide provides an overview of AI’s role in everyday life, including examples such as predictive policing, and raises critical questions about fairness and representation in the way AI is developed and used. The guide highlights how AI disproportionately affects marginalized communities and encourages public engagement in shaping AI’s future.