Algorithmic Ethics in Augmented Journalism

Abstract

This study delves into the ethical ramifications of Artificial Intelligence (AI) integration in journalism, suggesting strategic frameworks for ensuring ethical and accountable AI usage in media. AI's role in journalism brings forth concerns of accountability, transparency, authorship, and biases (Diakopoulos, 2019; Carlson, 2015; O'Neil, 2016). Through a qualitative methodology, including discourse and content analysis, this research illuminates ethical dilemmas at the crossroads of media ethics and technological determinism (Boczkowski, and Anderson, 2017; Tandoc et. al., 2020). It unveils evolving ethical contours of AI-enhanced journalism, shedding light on broader societal shifts instigated by AI (Floridi et al., 2018; Lermann Henestrosa et al, 2023). The study proposes strategies for responsible AI application in media, contributing to scholarly discourse on media ethics, and providing insights for stakeholders navigating AI’s ethical intricacies in journalism. The findings encourage further discourse on preserving ethical integrity in AI-driven journalism, bolstering public trust and reinforcing journalism’s democratic essence in the digital epoch.