This research delves into the complex and multifaceted relationship between artificial intelligence (AI) and ethical considerations in academic research. Using literature review and interview method, it highlights the immense potential of AI to streamline research processes and warns against potential pitfalls like data privacy breaches, algorithmic biases, and loss of research autonomy. The study emphasizes the crucial role of researchers in ensuring data integrity, maintaining research reproducibility, mitigating bias, and using AI responsibly. It advocates for robust data governance, open-source practices, and interdisciplinary collaboration to navigate the ethical landscape of AI-powered research. Recognizing the limitations of its scope and the dynamic nature of AI and ethical considerations, the research calls for continuous learning, adaptation, and development of ethical frameworks to ensure the responsible and ethical integration of AI in academic endeavors.