Yotam Lurie
Papers
1
Total Citations
15
H-Index
1
About
Yotam Lurie is a researcher whose work bridges the critical intersection of ethics, technology, and organizational behavior. His key research areas include applied ethics, particularly in the fields of artificial intelligence and professional ethics, as well as the philosophy of technology. Lurie’s major contributions lie in examining the ethical implications of emerging technologies, such as AI, machine learning, and deep learning, and their impact on human decision-making and societal norms. His highly cited paper, "Artificial Intelligence, Machine Learning and Deep Learning (Literature: Review and Metrics)" (2022), with 15 citations, provides a comprehensive overview of the rapid growth and applications of AI across disciplines, from humanoid robots like Sophia to supply chain logistics. This work underscores his ability to synthesize complex technological trends for a broad academic audience. Lurie’s research is notable for its practical relevance, offering insights into how ethical frameworks must evolve alongside technological advancements. His work continues to influence scholars and practitioners alike, making him a key voice in the ongoing dialogue about responsible innovation.
Research Focus
Key Achievements
Top Papers
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