2. The impact of AI on scientific development - "VI. AI industry applications"

1. Impact of artificial intelligence:

Artificial intelligence (AI) is transforming the nature and methods of scientific research, especially in the areas of deep learning and large language models. AI improves scientists’ efficiency, accuracy, and creativity, and opens up new opportunities in multiple fields.

2. Challenges and risks:

The rapid application of AI has brought about issues of reproducibility, transparency, and ethics. The black-box nature of AI makes it difficult to verify results based on AI and raises concerns about the integrity of research.

3. Opportunities

AI has shown great potential in areas such as climate science, materials science and rare disease diagnosis. AI technology can identify new patterns from big data and help solve social and environmental challenges.

4. Development

Governments and funding agencies should improve access to AI infrastructure to promote the advancement of scientific research. Open science principles should be applied to AI research to increase transparency and reproducibility and promote fair access to technology. Interdisciplinary collaboration needs to be strengthened to enhance scientists’ skills in AI applications.

5. Future research directions

Explore the relationship between AI and small data, intellectual property issues, and the role of AI in scientific communication. Ensure the ethical application of AI technology to safeguard the public interest and the integrity of science