S&P Global Energy announced the launch of its United Nations Global Compact Screening Dataset through its Sustainable1 division. The dataset provides a screening solution for investment managers, bankers and non-financial corporations to assess whether companies align with the 10 UNGC principles.

The company has applied the screening dataset to 16,500 companies globally and expects to cover an estimated 24,000 companies. The dataset combines controversy screening, which tracks corporate controversies linked to UNGC principles, and business involvement screening, which flags corporate revenues from controversial products.

The dataset addresses human rights, labor, environment and anti-corruption principles. S&P Global (NYSE: SPGI) uses artificial intelligence and machine learning models to screen millions of public sources globally across news, NGOs, regulators and other stakeholders in multiple languages to detect emerging risk incidents.

"When investors evaluate portfolio risk, understanding any controversies companies are involved in can be a critical step," said Thomas Yagel, Head of Sustainable1 at S&P Global Energy. "This comprehensive, foundational tool identifies corporate conduct assessed against UNGC principles and better informs investment decisions."

The AI-driven insights are validated by a dedicated Controversy Research team within Sustainable1. S&P Global Sustainable1 published a white paper analyzing the dataset, which found that company misalignment is most frequently linked to human rights-related controversies.

The United Nations is not affiliated with and has not endorsed the S&P Global Sustainable1 UNGC Screening Dataset, according to the company's statement.