The growing importance of environmental, social, and governance data in regulatory and investment contexts has increased the need for accurate, interpretable, and internationally aligned representations of non-financial risks, particularly those reported in unstructured news sources. However, aligning such controversy-related data with principle-based normative frameworks, such as the United Nations Global Compact or Sustainable Development Goals, presents significant challenges. These frameworks are typically expressed in abstract language, lack standardized taxonomies, and differ from the proprietary classification systems used by commercial data providers. In this paper, we present a semi-automatic method for constructing structured knowledge representations of environmental, social, and governance events reported in the news. Our approach uses lightweight ontology design, formal pattern modeling, and large language models to convert normative principles into reusable templates expressed in the Resource Description Framework. These templates are used to extract relevant information from news content and populate a structured knowledge graph that links reported incidents to specific framework principles. The result is a scalable and transparent framework for identifying and interpreting non-compliance with international sustainability guidelines.

Prime Minister Fumio Kishida unveiled a plan on Monday to hold a video conference with Group of Seven leaders this autumn to formulate international guidelines and a code of conduct for developers of artificial intelligence (AI) tools. Kishida showed the plan in a speech at a special session of the U.N.-sponsored Internet Governance Forum in Kyoto. The theme of the guidelines and code of conduct is part of the Hiroshima AI Process, an initiative for international best practices regarding generative AI, according to the Japanese leader. Kishida also said that the Japanese government's new economic package, planned to be drawn up late this month, will include aid for the development of computational resources, used for processing huge volumes of data needed for AI development and use, and of basic computational models, as well as stepping up the introduction of AI in small businesses and the medical field. The Hiroshima AI Process, which was agreed on at the G7 summit held in Hiroshima in May, also calls for creating international guidelines by the end of the year that will also cover generative AI users.

In the last two months, i.e. in April and May 2019, both the EU Commission and the OECD published guidelines for trustworthy and ethical Artificial Intelligence (AI). In both cases, these are only guidelines and, as such, are not legally binding. Both sets of guidelines were compiled by experts in the field. Let's have a closer look. "Why do we need guidelines for trustworthy, ethical AI?" you may ask.

In the last two months, i.e. in April and May 2019, both the EU Commission and the OECD published guidelines for trustworthy and ethical Artificial Intelligence (AI). In both cases, these are only guidelines and, as such, are not legally binding. Both sets of guidelines were compiled by experts in the field. Let's have a closer look. "Why do we need guidelines for trustworthy, ethical AI?" you may ask.