Tootfinder

AI Human Impact: Toward a Model for Ethical Investing in AI-Intensive Companies
James Brusseau
https://arxiv.org/abs/2507.07703 https://

AI Human Impact: Toward a Model for Ethical Investing in AI-Intensive Companies
Does AI conform to humans, or will we conform to AI? An ethical evaluation of AI-intensive companies will allow investors to knowledgeably participate in the decision. The evaluation is built from nine performance indicators that can be analyzed and scored to reflect a technology's human-centering. The result is objective investment guidance, as well as investors empowered to act in accordance with their own values. Incorporating ethics into financial decisions is a strategy that will be recogn…

Green schoolyard investments influence local-level economic and equity outcomes through spatial-statistical modeling and geospatial analysis in urban contexts
Mahshid Gorjian
https://arxiv.org/abs/2507.14232

Green schoolyard investments influence local-level economic and equity outcomes through spatial-statistical modeling and geospatial analysis in urban contexts
Investing in urban green schoolyards is becoming more popular around the world because they could enhance health, education, and community outcomes. There is still considerable debate regarding the impact of urban green schoolyards on economic growth, equity, and community stability, particularly when analyzed using spatial-statistical and geospatial methods. The current study focuses mostly on health or individual case results and avoids looking at broader economic and equality concerns. It al…

When Influence Misleads: Informational and Strategic Limits of Social Learning in Trading Networks
Bijin Joseph, Christoph Riedl, Alex Pentland, Esteban Moro
https://arxiv.org/abs/2507.01817

When Influence Misleads: Informational and Strategic Limits of Social Learning in Trading Networks
Social learning is a fundamental mechanism shaping decision-making across numerous social networks, including social trading platforms. In those platforms, investors combine traditional investing with copying the behavior of others. However, the underlying factors that drive mirroring decisions and their impact on performance remain poorly understood. Using high-resolution data on trades and social interactions from a large social trading platform, we uncover a fundamental tension between popul…