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Esg, Sustainability Disclosure, And Institutional Investor Stewardship, Giovanni Strampelli May 2024

Esg, Sustainability Disclosure, And Institutional Investor Stewardship, Giovanni Strampelli

Washington and Lee Law Review Online

This Article sheds new light on the link between sustainability disclosure and institutional investors’ stewardship activities aimed at promoting improvements in the ESG performance of investee companies. On the one hand, sustainability disclosure is one of the information elements that may be relevant to institutional investors’ stewardship activities. On the other hand, improving the quality of sustainability reports provided by investee companies is often the ultimate goal of investor engagement initiatives. The role of climate and social disclosure is problematic from both perspectives. First, institutional investors, especially those with broadly diversified portfolios, are unable to use sustainability information directly and …


The Trade Origins Of Privacy Law, Anupam Chander Jan 2024

The Trade Origins Of Privacy Law, Anupam Chander

Indiana Law Journal

The desire for trade propelled the growth of data privacy law across the world. Countries with strong privacy laws sought to ensure that their citizens’ privacy would not be compromised when their data traveled to other countries. Even before this vaunted Brussels Effect pushed privacy law across the world through the enticement of trade with the European Union, Brussels had to erect privacy law within the Union itself. And as the Union itself expanded, privacy law was a critical condition for accession.

But this coupling of privacy and trade leaves a puzzle: how did the U.S. avoid a comprehensive privacy …


Decoding U.S. Tort Liability In Healthcare's Black-Box Ai Era: Lessons From The European Union, Mindy Duffourc, Sara Gerke Jan 2024

Decoding U.S. Tort Liability In Healthcare's Black-Box Ai Era: Lessons From The European Union, Mindy Duffourc, Sara Gerke

Faculty Scholarly Works

The rapid development of sophisticated artificial intelligence (“AI”) tools in healthcare presents new possibilities for improving medical treatment and general health. Currently, such AI tools can perform a wide range of health-related tasks, from specialized autonomous systems that diagnose diabetic retinopathy to general-use generative models like ChatGPT that answer users’ health-related questions. On the other hand, significant liability concerns arise as medical professionals and consumers increasingly turn to AI for health information. This is particularly true for black-box AI because while potentially enhancing the AI’s capability and accuracy, these systems also operate without transparency, making it difficult or even impossible …