Description of Subtheme:
Artificial intelligence (AI) is the simulation of human intelligence by machines, enabling them to perform tasks commonly associated with intelligent being. AI systems analyze their environment and take actions with some degree of autonomy to achieve specific goals. AI is important for scientific research in several ways:
-Data Analysis: Ai and machine learning techniques can analyze large, complex datasets to uncover patterns, trends, and insights that would be difficult for human to detect
-Hypothesis generation: AI systems can generate novel hypotheses by combining existing knowledge in new ways
-Simulation and modeling: AI enables the creation pf highly detailed simulation of complex systems, from climate models to biological processes. This simulation can generate predictions and test hypotheses before conducting real-world experiments
-Automation: AI can automate repetitive tasks in the research workflow, such as literature searches, data processing and report generation.
Some key ways can support sustainable development include optimizing energy use, improving medical diagnostics, monitoring biodiversity and expanding educational opportunities. Also analyzing large datasets to uncover patterns and insights to guide research and decision making> furthermore Automating repetitive tasks to increase efficiency in areas like agriculture, health care and education.
Prominent Research:
Assistant Professor Dr. Sarah Zein’s Relevant publications are the following:
July 2022 The Civil liability for Artificial Intelligence, Journal of Legal studies,
BAU, Volume 2022
Forthcoming 2023 “Smart Contract in Vienna Convention and UNICTRAL Model
Law”, paper presented in the conference entitled “UNICTRAL
rules in light of the development of commercial transactions” held
in Beirut Arab University- October 2023.
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