Human factors in AI: alignment with the European AI act and innovation

Research has emphasized on the importance of considering ethical, legal, and societal implications, such as fairness, accountability, trust, and legal responsibilities when implementing Artificial Intelligence (AI) driven technologies (Budhwar et al, 2022). Likewise, the European AI Act, which is a recently proposed legal regulatory framework for AI systems, envisions a European innovation ecosystem in which AI tools are overseen by people, are safe, transparent, traceable and non-discriminatory.

In this session, we will elaborate on the key aspects that must be considered by organizations following the steps of the AI process flow (Design, Development, Evaluation, Operation and Retirement) as defined within the Conformity Assessment Protocol for AI Systems considering the European EU-AI act by Floridi et al., 2022 (CAP AI). Insights on our experience implementing the role of the AI translator within the innovation cycle of a Flemish public organization and lessons learned from the ongoing development of a Model Risk Management Framework (MRM) for AI systems will be discussed. Additionally, some reflections regarding the AI potential to support HR needs and employee career development, and in general about how AI could impact the future of work will be shared.