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Full-Text Articles in Law
Liability For Use Of Artificial Intelligence In Medicine, W. Nicholson Price, Sara Gerke, I. Glenn Cohen
Liability For Use Of Artificial Intelligence In Medicine, W. Nicholson Price, Sara Gerke, I. Glenn Cohen
Law & Economics Working Papers
While artificial intelligence has substantial potential to improve medical practice, errors will certainly occur, sometimes resulting in injury. Who will be liable? Questions of liability for AI-related injury raise not only immediate concerns for potentially liable parties, but also broader systemic questions about how AI will be developed and adopted. The landscape of liability is complex, involving health-care providers and institutions and the developers of AI systems. In this chapter, we consider these three principal loci of liability: individual health-care providers, focused on physicians; institutions, focused on hospitals; and developers.
Urban Warfare: Emerging Geopolitical Conundrum, Bert Chapman
Urban Warfare: Emerging Geopolitical Conundrum, Bert Chapman
Libraries Faculty and Staff Presentations
Urban warfare is as old as human history. It is becoming increasingly important in international political and military planning due to increasing global urbanization and the presence of megacities (urban areas with populations exceeding 10 million) in many global regions and being in areas of recent and potential military conflict. 2018 World Bank data notes that approximately 56% of the world's population lives in urban areas which is up from 34% in 1960. Many of these megacities, including New York City, Los Angeles, Sao Paulo, Mumbai, Shanghai, and Manila are adjacent to oceanic waters and vulnerable to trade and supply …
Busting Myths And Dispelling Doubts About Covid-19, Mark Findlay
Busting Myths And Dispelling Doubts About Covid-19, Mark Findlay
Research Collection Yong Pung How School Of Law
The Centre for AI and Data Governance (CAIDG) at Singapore Management University (SMU) has embarked over past months on a programme of research designed to confront concerns about the pandemic and its control. Our interest is primarily directed to the ways in which AI-assisted technologies and mass data sharing have become a feature of pandemic control strategies. We want to know what impact these developments are having on community confidence and health safety. In developing this work, we have come across many myths that need busting.
Ethics, Ai, Mass Data And Pandemic Challenges: Responsible Data Use And Infrastructure Application For Surveillance And Pre-Emptive Tracing Post-Crisis, Mark Findlay, Jia Yuan Loke, Nydia Remolina Leon, Yum Yin, Benjamin (Tan Renyan) Tham
Ethics, Ai, Mass Data And Pandemic Challenges: Responsible Data Use And Infrastructure Application For Surveillance And Pre-Emptive Tracing Post-Crisis, Mark Findlay, Jia Yuan Loke, Nydia Remolina Leon, Yum Yin, Benjamin (Tan Renyan) Tham
Research Collection Yong Pung How School Of Law
As the COVID-19 health pandemic rages governments and private companies across the globe are utilising AI-assisted surveillance, reporting, mapping and tracing technologies with the intention of slowing the spread of the virus. These technologies have the capacity to amass personal data and share for community control and citizen safety motivations that empower state agencies and inveigle citizen co-operation which could only be imagined outside such times of real and present danger. While not cavilling with the short-term necessity for these technologies and the data they control, process and share in the health regulation mission, this paper argues that this infrastructure …