科学、技术和创新：在人工智能时代

Science, Technology and Innovationin the Age of AI Acknowledgements Table of contents II. AI-driven transformation in R&D.....................................................2 B. Examples of AI applications in R&D........................................................6C. Technical challenges and ethical concerns in leveraging AI for R&D....9III. Rethinking innovation policy in the AI era..................................12 B. Capitalizing on AI’s potential in R&D while minimizing risks.................17IV. Global collaboration for inclusive AI and research development.......................................................................27 A. Promoting open science and open innovation......................................28 B. Building global AI capacity...................................................................32C. Safeguarding AI with ethics and accountability....................................35 V. Conclusion and Recommendations..............................................39 List of figures Figure 1Key channels through which AI influences R&D..............................3 climate science.................................................................................6Figure 3Key challenges of using AI in R&D...................................................9Figure 4The shift from traditional to transformative innovation policy........14Figure 5Implications of AI on innovation policy...........................................15Figure 6Key areas of collaboration for inclusive AI....................................28 I.Introduction II.AI-driven transformation in R&D impact on R&DR&D is a multifaceted process that typically impact of AI in R&DTo quantify AI’s impact on R&D, one study applications in R&DWith the key mechanisms through which and ethical concerns inleveraging AI for R&D Figure 3Key challenges of using AI in R&D Explainability Reproducibility Data privacy III.Rethinking innovation policy inthe AI era innovation policy Figure 4The shift from traditional to transformative innovation policy Figure 5Implications of AI on innovation policy potential in R&D whileminimizing risks Adapting IP laws to AI adaptive innovation policyGovernments, like R&D scientists, can building regional networksInterdisciplinary research centres serve as accountability in AI systemsIndia’s Ministry of Electronics and adhering to privacy principles IV.Global collaboration for inclusiveAI and research development Figure 6Key areas of collaboration for inclusive AI and open innovation Examples of international initiatives capacityThe responsible use and development AI capacity with ethics andaccountability and data governanceDespite growing global consensus on V.Conclusion andRecommendations References