Results 151 to 160 of about 636,258 (345)
Potential Liability for Physicians Using Artificial Intelligence.
W. Price, S. Gerke, I. Cohen
semanticscholar +1 more source
Risk-sharing and Liability in the Control of Stochastic Externalities [PDF]
This paper analyzes alternative policies for controlling stochastic externalities, considering both the incentive and the risk-sharing effects of each. When polluter actions are unobservable so that regulation is not possible, alternative liability rules
Segerson, Kathleen
core
ABSTRACT Since the final decade of the 20th century, Latin American countries have increasingly regarded the signing of regional trade agreements (RTAs) as a promising strategy for expanding their exports. Within this context, the main objective of this study is to assess the impact of RTAs on agri‐food exports in Latin America over the period 1990 ...
María‐Isabel Ayuda +2 more
wiley +1 more source
Traceability, Liability and Incentives for Food Safety and Quality [PDF]
In this paper we focus specifically on the implications for additional traceability in the context of liability for food safety problems. We model formally the linkage between traceability and food safety and establish the implications of an increase in ...
Sumner, Daniel A., Pouliot, Sebastien
core
ABSTRACT In emerging economies where smallholder farming dominates agricultural production, agribusinesses serve as critical intermediaries linking smallholders to broader markets, and their resilience directly affects agricultural sustainability. Short‐term‐oriented capital is reluctant to adequately finance highly uncertain and cyclical agricultural ...
Siyuan Lyu +5 more
wiley +1 more source
The Case for Limited Auditor Liability - The Effects of Liability Size on Risk Aversion and Ambiguity Aversion [PDF]
Both the US and the EU consider limiting auditor liability in order to ensure the viability of the audit market, but fear its potentially negative impact on audit quality.
Schunk, Daniel, Koch, Christopher
core
Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang +16 more
wiley +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems
Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja +2 more
wiley +1 more source
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad +5 more
wiley +1 more source

