Article Review: Ethics, Big Data, and AI Innovation

This report provides a comprehensive review of two articles focusing on the ethics of big data and its implications for AI innovation. The first article, "Ethics for Big Data and Analytics" by Danial (2016), examines the ethical challenges associated with big data, emphasizing the need for ethical codes of conduct. The second article, "Why Big Data Isn’t Enough" by Sen Chai (2017), critiques the limitations of big data, highlighting security risks and the need for robust ethical frameworks. The report synthesizes the key arguments from both articles, discussing the importance of ethical considerations, data security, and the role of government and management in addressing ethical issues. It emphasizes that big data alone is insufficient and must be accompanied by ethical guidelines and employee training to mitigate risks and ensure responsible use of technology. The review concludes by underscoring the need for ongoing development of ethical standards to navigate the evolving landscape of big data and AI.