THE TECHNICAL LANGUAGE OF DIGITAL B2B INFRASTRUCTURE
A technical report providing an overview of ethical and societal concerns arising from the development and use of artificial intelligence technologies.
Early identification of ethical and societal risks helps organizations avoid reputational damage, design humane products, and align AI development with global human rights norms.
A product management organization uses ISO/IEC TR 24368 to structure its responsible AI principles and conduct pre-launch societal risk screenings on automated customer service tools.
The report is an informative overview of issues rather than an actionable technical control set; resolving ethical dilemmas requires trade-offs specific to legal jurisdictions and social contexts.
The document explores key societal and ethical issues associated with AI, including human agency, safety, privacy, fairness, transparency, accountability, and environmental impact. It maps ethical principles to technical disciplines and international human rights frameworks, providing context for subsequent normative AI standards.
Experience Design, Intelligent Automation
ISO — ISO/IEC TR 24368:2022 — https://www.iso.org/standard/78507.html
An international standard providing methodologies for assessing the impacts of artificial intelligence systems on individuals and society.
An international standard detailing measurement methods and mitigation strategies for bias in AI decision-making.
A lightweight, human-readable data interchange format widely adopted for API communications and configuration files.
An international standard outlining methodology for conducting comprehensive impact assessments on AI deployments.
An international standard providing terminology, concepts, and frameworks for knowledge engineering in artificial intelligence.