國立虎尾科技大學 |

The Potential for Artificial Intelligence Assistance in Funding Research /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The Potential for Artificial Intelligence Assistance in Funding Research // Hamad Al Ibrahim.
作者:	Al Ibrahim, Hamad,
面頁冊數:	1 electronic resource (161 pages)
附註:	Source: Dissertations Abstracts International, Volume: 86-04, Section: B.
Contained By:	Dissertations Abstracts International86-04B.
標題:	Computer science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31299234
ISBN:	9798384491880

The Potential for Artificial Intelligence Assistance in Funding Research /
Al Ibrahim, Hamad,

The Potential for Artificial Intelligence Assistance in Funding Research /Hamad Al Ibrahim. - 1 electronic resource (161 pages)

Source: Dissertations Abstracts International, Volume: 86-04, Section: B.

This dissertation investigates the potential of Artificial Intelligence (AI) in transforming decision-making processes within funding agencies, which include governmental, quasigovernmental, and private organizations that finance research and innovation. These agencies are crucial in directing scientific inquiry and innovation by funding projects that meet their strategic and societal goals. The study seeks to determine how AI can improve the efficiency, transparency, and objectivity of funding allocations, posing the question: "How can AI be effectively integrated into the decision-making frameworks of funding agencies to optimize outcomes?"The research methodology combines a thorough analysis of AI applications across various sectors with detailed interviews involving stakeholders from funding agencies, AI experts, and funding recipients. This mixed-method approach provides a broad perspective on the current integration of AI and its challenges. The dissertation progresses through several chapters, each offering unique insights into AI's role in funding agencies.Chapter 2 analyzes the existing processes and challenges within funding agencies, incorporating a landscape analysis and insights from stakeholder interviews to identify areas where AI could offer improvements. Chapter 3 discusses AI's capabilities and applications in sectors like education, healthcare, and finance, examining their implications for funding agency decision-making.Chapter 4 introduces a strategic AI framework specifically designed for funding agencies, emphasizing the need for transparent algorithms and advanced explainability tools to ensure clear AI-driven decisions and build trust among stakeholders.The findings highlight AI's potential to enhance the peer reviewer assignment process and optimize proposal management through learning models. The study stresses the importance of combining AI's computational power with human expertise and maintaining ethical considerations. It also points out the necessity for agencies to adapt AI solutions that are sensitive to the changing research landscape and societal needs.In conclusion, the dissertation argues that AI can significantly improve the effectiveness and fairness of funding decisions when thoughtfully integrated. This research contributes to the discussion on AI applications in public sector decision-making, offering valuable insights for policymakers, AI developers, and funding agencies. It advocates for leveraging AI's benefits while carefully addressing its challenges to improve public funding mechanisms.

English

ISBN: 9798384491880Subjects--Topical Terms:

573171
Computer science.
Subjects--Index Terms:

Decision-making

The Potential for Artificial Intelligence Assistance in Funding Research /
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