Cover Image

Safety vs. Performance: How Multi-Objective Learning Reduces Barriers to Market Entry

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jagadeesan, Meena, Jordan, Michael I., Steinhardt, Jacob
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computers and Society General Economics Economics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Influencer Cartels
by: Hinnosaar, Marit, et al.
Published: (2024)

Forecasting Imports in OECD Member Countries and Iran by Using Neural Network Algorithms of LSTM
by: Khajoui, Soheila, et al.
Published: (2024)

AI Oversight and Human Mistakes: Evidence from Centre Court
by: Almog, David, et al.
Published: (2024)

Examining the Dynamics of Local and Transfer Passenger Share Patterns in Air Transportation
by: Zheng, Xufang, et al.
Published: (2025)

Profiling vs. Case-specific Evidence: A Probabilistic Analysis
by: Di Bello, Marcello, et al.
Published: (2026)

Progress in Artificial Intelligence and its Determinants
by: Douglas, Michael R., et al.
Published: (2025)

Regulatory Markets for AI Safety
by: Clark, Jack, et al.
Published: (2019)

Drivers and Barriers of AI Adoption and Use in Scientific Research
by: Bianchini, Stefano, et al.
Published: (2023)

A theory-based AI automation exposure index: Applying Moravec's Paradox to the US labor market
by: Schaal, Jacob
Published: (2025)

Randomization to Reduce Terror Threats at Large Venues
by: Kantor, Paul B., et al.
Published: (2025)

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma
by: Hou, Xiaoxuan, et al.
Published: (2024)

Strategic Integration of Artificial Intelligence in the C-Suite: The Role of the Chief AI Officer
by: Schmitt, Marc
Published: (2024)

AI and the Dynamic Supply of Training Data
by: Peukert, Christian, et al.
Published: (2024)

Algorithmic Inheritance: Surname Bias in AI Decisions Reinforces Intergenerational Inequality
by: Pataranutaporn, Pat, et al.
Published: (2025)

SRNI-CAR: A comprehensive dataset for analyzing the Chinese automotive market
by: Ding, Ruixin, et al.
Published: (2023)

From Model Design to Organizational Design: Complexity Redistribution and Trade-Offs in Generative AI
by: Hasan, Sharique, et al.
Published: (2025)

Computational Basis of LLM's Decision Making in Social Simulation
by: Ma, Ji
Published: (2025)

Fair outputs, Biased Internals: Causal Potency and Asymmetry of Latent Bias in LLMs for High-Stakes Decisions
by: Tripathy, Jagdish, et al.
Published: (2026)

How Small is Big Enough? Open Labeled Datasets and the Development of Deep Learning
by: Souza, Daniel, et al.
Published: (2024)

How much does context affect the accuracy of AI health advice?
by: Garg, Prashant, et al.
Published: (2025)

Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition
by: Jagadeesan, Meena, et al.
Published: (2023)

Machine learning and economic forecasting: the role of international trade networks
by: Silva, Thiago C., et al.
Published: (2024)

Quantifying the Social Costs of Power Outages and Restoration Disparities Across Four U.S. Hurricanes
by: Li, Xiangpeng, et al.
Published: (2025)

Structural Consequences of Policy-Based Interventions on the Global Supply Chain Network
by: Karbevska, Lea, et al.
Published: (2026)

A quality of mercy is not trained: the imagined vs. the practiced in healthcare process-specialized AI development
by: Bhardwaj, Anand, et al.
Published: (2025)

Generative AI as a Non-Convex Supply Shock: Market Bifurcation and Welfare Analysis
by: Zhang, Yukun, et al.
Published: (2026)

The Hourglass Revolution: A Theoretical Framework of AI's Impact on Organizational Structures in Developed and Emerging Markets
by: Balaraman, Krishna Kumar, et al.
Published: (2026)

When Assurance Undermines Intelligence: The Efficiency Costs of Data Governance in AI-Enabled Labor Markets
by: Chen, Lei, et al.
Published: (2025)

Predicting Company Growth using Scaling Theory informed Machine Learning
by: Tao, Ruyi, et al.
Published: (2024)

Auditing the Auditors: Does Community-based Moderation Get It Right?
by: Alimohammadi, Yeganeh, et al.
Published: (2026)

Beyond Interaction Effects: Two Logics for Studying Population Inequalities
by: Daoud, Adel
Published: (2025)

How the Shale Revolution is Shaping the Future of the Oil and Gas Market
by: Bui, Binh T.
Published: (2026)

The Economics of Builder Saturation in Digital Markets
by: Catovic, Armin
Published: (2026)

Can Machines Think Like Humans? A Behavioral Evaluation of LLM Agents in Dictator Games
by: Ma, Ji
Published: (2024)

FairMarket-RL: LLM-Guided Fairness Shaping for Multi-Agent Reinforcement Learning in Peer-to-Peer Markets
by: Jadhav, Shrenik, et al.
Published: (2025)

Empirical Analysis of Digital Innovations Impact on Corporate ESG Performance: The Mediating Role of GAI Technology
by: Cui, Jun
Published: (2025)

Deep Learning for Art Market Valuation
by: Mei, Jianping, et al.
Published: (2025)

Daily Forecasting for Annual Time Series Datasets Using Similarity-Based Machine Learning Methods: A Case Study in the Energy Market
by: Goldani, Mahdi
Published: (2025)

Does Entry of Food-and-Drink Establishments Raise Local House Prices? Event-Study Evidence from London
by: Liu, Wanqi, et al.
Published: (2026)

Uncovering the Viral Nature of Toxicity in Competitive Online Video Games
by: Morrier, Jacob, et al.
Published: (2024)