Ethical use of artificial intelligence in the workplace final report

This is followed by the presentation of the findings from each of the methodological components of the research, including the AI WHS Scorecard that has evolved iteratively from the research. [...] Page 6 of 91 Background and Rationale This chapter sets out the empirical background based on the literature review to present the current WHS status and gaps in adopting AI in the workplace, as well as the rationale to address key gaps in safeguarding the anticipated risks of AI use on workers. [...] • Accountability: Those responsible for the different phases of the AI system lifecycle should be identifiable and accountable for the outcomes of the AI systems, and human oversight of AI systems should be enabled.” Source: DISER (undated) The Australian national AI ethics framework, like the OECD’s, is a framework that helps one broadly to explore the extent to which AI may affect individual wel. [...] Interviews Participants and recruitment process The purpose of the interviews was to develop a broad, inclusive overview of current experiences of adopting AI in the workplace, focusing mainly on the knowledge and practices of managers, leaders, and experienced professionals. [...] phases of the AI system lifecycle should be identifiable and accountable for the outcomes of the AI systems, and human oversight of AI systems should be enabled.