Abstract:
Organisations need to be able to adopt AI successfully, but also responsibly. This
requirement is not trivial, as AI can deliver real value to adopters. However, can also
result in serious impacts on humans. AI’s technical capabilities make AI powerful, still
the implementation of AI in organisations is not limited to the technical elements and
requires a more holistic approach. An AI implementation within an organisation is a
socio-technical system, with the interplay between social and technical components. When
AI makes decisions that impact people, the socio considerations in AI adoption frameworks
are paramount. Although technical adoption challenges are well researched and
can overlap with aspects associated with traditional IT implementations, artificial intelligence
adoption often faces additional social implication. This study focuses on these social
challenges, which is a problem frequently experienced by many organisations. The study
investigates how an organisation can increase adoption of AI as part of its quest to become
more data-driven. This study was conducted at an automotive manufacturer’s analytics
competence centre, located in South Africa. This paper describes the first iteration of a
larger research effort that follows the design science research methodology. A socio-specific
artificial intelligence adoption framework was created and can be used by organisations to
help them succeed with their AI adoption initiatives in a responsible manner.
