DDS-7255

American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). American Psychological Association.

This guide serves as the official resource for APA Style, essential for scholarly writing and citation formatting.

Hirsch, D., Bartley, T., Chandrasekaran, A., Norris, D., Parthasarathy, S., & Turner, P. N. (2023). Business data ethics: Emerging models for governing AI and advanced analytics (1st ed.). Springer International Publishing AG.

Chapters 1-3 explore foundational frameworks for governing AI and advanced analytics, emphasizing ethical considerations in business contexts.

Velásquez, J. D. (2013). Web mining and privacy concerns: Some important legal issues to consider before applying any data and information extraction technique in web-based environments. Expert Systems with Applications, 40(13), 5228–5239. https://doi.org/10.1016/j.eswa.2013.03.008

This article addresses critical legal issues in web mining and privacy, offering guidelines for ethical data use in digital environments.

Samberg, R., Samberg, R., & Vollmer, T. (2021). Building legal literacies for text data mining: Institute white paper.

This white paper provides practical guidance for navigating legal and ethical challenges in text data mining projects.

Zeleznikow, J. (2023). The benefits and dangers of using machine learning to support making legal predictions. WIREs: Data Mining & Knowledge Discovery, 13(4), 1–21. https://doi.org/10.1002/widm.1505

This article examines both the opportunities and risks of applying machine learning to legal predictions, offering insights for legal professionals and data scientists.

Le Quy, T., Roy, A., Iosifidis, V., Zhang, W., & Ntoutsi, E. (2022). A survey on datasets for fairness-aware machine learning.

This survey explores datasets designed to enhance fairness in machine learning, contributing to the development of equitable AI systems.

Floridi, L., & Taddeo, M. (2016). What is data ethics? Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 374(2083), 20160360.

This foundational article defines the field of data ethics, exploring its implications for technology, society, and policy.

Kass, N. E. (2001). An ethics framework for public health. American Journal of Public Health, 91(11), 1776–1782.

This article presents a structured ethics framework for addressing public health challenges, balancing individual rights with community welfare.

Patel, K. (2024). Ethical reflections on data-centric AI: balancing benefits and risks. International Journal of Artificial Intelligence Research and Development, 2(1), 1–17.

This paper explores ethical challenges and considerations for data-centric AI, emphasizing the importance of balancing societal benefits with potential risks.

Wang, C., Liu, S., Yang, H., Guo, J., Wu, Y., & Liu, J. (2023). Ethical considerations of using ChatGPT in health care. Journal of Medical Internet Research, 25, e48009.

This article examines the ethical implications of integrating ChatGPT into health care, addressing concerns such as accuracy, privacy, and patient safety.