AI at work -- Mitigating safety and discriminatory risk with technical standards
Nikolas Becker, Pauline Junginger, Lukas Martinez, Daniel Krupka,, Leonie Beining

TL;DR
This paper reviews international and regional technical standards aimed at reducing safety and discrimination risks associated with AI in workplaces, focusing on industrial and HR applications.
Contribution
It provides an overview and assessment of existing and emerging standards for AI safety and fairness in industrial and HR contexts.
Findings
Existing standards address safety and discrimination risks.
Standards are under development to enhance AI reliability.
Assessment highlights gaps and future needs.
Abstract
The use of artificial intelligence (AI) and AI methods in the workplace holds both great opportunities as well as risks to occupational safety and discrimination. In addition to legal regulation, technical standards will play a key role in mitigating such risk by defining technical requirements for development and testing of AI systems. This paper provides an overview and assessment of existing international, European and German standards as well as those currently under development. The paper is part of the research project "ExamAI - Testing and Auditing of AI systems" and focusses on the use of AI in an industrial production environment as well as in the realm of human resource management (HR).
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Taxonomy
TopicsDigital Transformation in Industry · Occupational Health and Safety Research · Technology, Environment, Urban Planning
