HUMAN-AI COLLABORATION IN ORGANISATIONS: A LITERATURE REVIEW ON ENABLING VALUE CREATION

The augmentation of human intellect and capability with artificial intelligence is integral to the advancement of next generation human-machine collaboration technologies designed to drive performance improvement and innovation. Yet we have limited understanding of how organisations can translate this potential into creating sustainable business value. We conduct an in-depth literature review of interdisciplinary research on the challenges and opportunities in organisational adoption of human-AI collaboration for value creation. We identify five positions central to how organisations can integrate and align the socio-technical challenges of augmented collaboration, namely strategic positioning, human engagement, organisational evolution, technology development and intelligence building. We synthesise the findings by means of an integrated model that focuses organisations on building the requisite internal microfoundations for the systematic management of augmented systems

Engineering-Based Design Methodology for Embedding Ethics in Autonomous Robots

This paper explores the design process of robotics and autonomous systems using a co-design approach, applied ethics, and values-driven methods. Specifically, the approach seeks to move beyond traditional risk assessment toward a greater consideration of end-user exposure. The goal of the ethics-based co-design approach is to identify end-user and stakeholder values that guide the minimization of end-user vulnerability associated with the employment of autonomous systems. This design process is also used to identify positive consequences that probably increase human wellbeing as opposed to simply avoiding harm. We argue that biomedical autonomous systems design, during the preclinical phase, should bring together diverse stakeholders that would not traditionally be involved in design. We also argue that embedding ethical considerations in the engineering design process should bring together a diverse range of stakeholders to more accurately appreciate possible end-user implications of a design. With complex systems design, such as biotechnologies, greater awareness is necessary of the ethical implications of designed autonomy to end-user exposure