The application of artificial intelligence (AI) in scientific research has significantly enhanced efficiency and accuracy but has also introduced new forms of academic misconduct, such as data fabrication and text plagiarism. This study addresses these challenges by emphasizing the need for the academic community to strengthen ethical norms, enhance researcher qualifications, and establish rigorous review mechanisms. Key recommendations include developing comprehensive AI research integrity guidelines, implementing mandatory AI ethics and integrity training, and establishing international collaboration frameworks to facilitate the exchange of best practices and unified ethical standards. Protecting research integrity is crucial for maintaining public trust in science, making these recommendations urgent for the scientific community to consider and act upon. The study also highlights the transformative role of AI across various scientific disciplines, from genomic research to environmental science, and discusses the potential risks and ethical considerations associated with its misuse. To ensure responsible and transparent research processes, the paper proposes a multifaceted approach that includes educational and training programs, policy development, and international cooperation.The application of artificial intelligence (AI) in scientific research has significantly enhanced efficiency and accuracy but has also introduced new forms of academic misconduct, such as data fabrication and text plagiarism. This study addresses these challenges by emphasizing the need for the academic community to strengthen ethical norms, enhance researcher qualifications, and establish rigorous review mechanisms. Key recommendations include developing comprehensive AI research integrity guidelines, implementing mandatory AI ethics and integrity training, and establishing international collaboration frameworks to facilitate the exchange of best practices and unified ethical standards. Protecting research integrity is crucial for maintaining public trust in science, making these recommendations urgent for the scientific community to consider and act upon. The study also highlights the transformative role of AI across various scientific disciplines, from genomic research to environmental science, and discusses the potential risks and ethical considerations associated with its misuse. To ensure responsible and transparent research processes, the paper proposes a multifaceted approach that includes educational and training programs, policy development, and international cooperation.