Corporate Digital Responsibility and Artificial Intelligence Ethics: A Multi-Study Approach

Over the past two decades, advances in digital technology have made it possible to create a wide range of systems with a wide range of capabilities. According to (Brynjolfsson & McAfee, 2017), however, these unprecedented opportunities for empowerment come with ethical and governance challenges that arise in both consumer and commercial contexts. These challenges include issues with the persistent data logging of smart devices, the behavior of autonomous vehicles in hazardous situations, and algorithms. There has been a noticeable uptick in activity and concern about AI ethics. Frameworks, guidelines, and consultations have been produced in large quantities by governments, international organizations, civil society, corporations, and academics. Across various fields, from predictive policing to precision marketing, worries about bias, equality, the lack of transparency and responsibility in AI systems, and the possible misuse of predictive models in decision-making have attracted substantial attention (Akter et al., 2023). This perspective holds that moral and ethical principles that govern human behavior must be applied to digital tools that support human decision-making or make judgments on their own (Wamba-Taguimdje, Fosso Wamba, Kala Kamdjoug, & Tchatchouang Wanko, 2020). The appellation for effective leadership has increased over the past ten years due to the increasing emphasis on organizational ethics and decision-making (Den Hartog, 2015). Therefore, the aim of current research is to determine the impact of leadership on governance of artificial intelligence (AI), and digital responsibility.