Artificial intelligence (AI) governance is required to reap the benefits and manage the risks
brought by AI systems. This means that ethical principles, such as fairness, need to be …

Artificial intelligence (AI) governance and auditing promise to bridge the gap between AI
ethics principles and the responsible use of AI systems, but they require assessment …

Choice of pricing strategy plays a central role in value creation and the effective functioning
of markets. Shifts in technology and the growing availability of data are facilitating ever more …

This study explores how organizations translate principles of ethical artificial intelligence (AI)
into practice. To date, the research on AI ethics has been mostly conceptual, with a …

In this study we explore the incorporation of artificial intelligence (AI) governance to system
development life cycle (SDLC) models. We conducted expert interviews among AI and …

The organizational use of artificial intelligence (AI) has rapidly spread across various
sectors. Alongside the awareness of the benefits brought by AI, there is a growing …

While AI provides many business opportunities across industries, the organizational
implications of AI are still largely unclear. We investigate governance roles related to AI use …

Artificial intelligence (AI) systems bring exciting opportunities for organizations to speed up
their processes and have a competitive advantage. However, some weaknesses come with …

Artificial Intelligence (AI) is widely used in business to increase productivity and harness the
benefits that could emerge from is use. However, with the increased use of AI in business …

Background Cybersecurity threats are an endemic concern for Australian governments,
businesses, and communities. Several recent high-profile, high-magnitude security …