AI and the Newsroom

AI has transformed many industries, but has also disastrously impacted media/journalism. They are capable of automating human-generated and in some cases, even non-human generated content, analyzing vast datasets to promote more audience engagement. Consequently, production, distribution, and consumption of news are redefined. A major concern is permeability of these technologies in media landscape to an extent where ethics and credibility become questionable concerns. Such concerns challenge foundational principles of journalism (accuracy, accountability, and impartiality). The dual-edged nature of AI has made journalism lean more towards ‘artificial' than ‘intelligent'. This study explores the ‘artificial' side of AI in journalism and focusing on ethical dilemmas (fairness and truthfulness). By analyzing existing frameworks and proposing solutions to bridge the gap between technology and transparency, this chapter aims to rectify and reinstate core principles of journalism. Findings are expected to provide actionable insights for media houses and techies working towards implementation of AI in media/journalism.