Artificial intelligence (AI) significantly impacts academic integrity in scientific research, offering both benefits and challenges. Positively, AI enhances research accuracy, efficiency, and reproducibility, aids in plagiarism detection, and promotes ethical compliance. However, it also introduces risks such as overreliance, misuse for generating unethical content, perpetuating biases, and challenges in peer review.

To mitigate risks, researchers and institutions must establish guidelines, educate on ethical AI use, ensure transparency in AI applications, and maintain human oversight in critical processes. Responsible AI integration can enhance research quality while preserving academic integrity.

Can enhance data analysis and streamline research processes, leading to more robust findings. However, it also poses risks of plagiarism and data manipulation, necessitating stricter ethical guidelines to ensure transparency and accountability in AI-assisted research.

AI-generated content raises concerns about authorship, authenticity, and plagiarism, threatening academic integrity in scientific research and publications.