A linguistic engineering approach to prompting
Thinking about non-expert prompting as a form of linguistic engineering wherein semantics mediates human intent with machine interpretation.
AI in journalism: Some perspectives from the Global South
The integration of AI in journalism across the Global South reveals a story of both potential and constraint. While journalists are experimenting with emerging technologies and recognising their transformative power, integration remains uneven, shaped by local infrastructures, economic realities, political contexts, and cultural nuances.
Ten reasons why generative AI is not disruptive
Generative AI is often viewed as a disruptive force in journalism, but this overlooks how the industry truly operates and the deeper value of journalism, with much misunderstanding fueled by hype and technical misconceptions.
AI and journalism: Between problem solving and trust building
The use of AI in journalism builds on the long-standing practice of using computers and data to support reporting. Nowadays, AI is an integral part of many journalists’ daily routines, often without them even realising it. The hype surrounding generative AI raises fundamental questions. The hype surrounding generative AI raises fundamental questions: What is AI? What is it used for? And how can it be used responsibly in journalistic practice?
Reflections from Ohrid: A strong commitment by press councils to ethical AI
The Ohrid Declaration on the Ethical Use of Artificial Intelligence in the Media seeks to promote transparency, accountability and human oversight in order to safeguard the integrity of journalism and public trust in South East Europe and Turkey.
The history of propaganda or methods of influence through the ages
The long history of propaganda is rooted in corruption, censorship and the ideological manipulation of the press – an area explored by Jacques Ellul in his analysis of how political and religious powers use various techniques to shape public opinion.
AI literacy for critical and ethical use of AI in journalism
Data literacy, algorithmic literacy, and computational thinking are inseparable concepts. Together, these skills form an essential foundation for critically and ethically understanding and using artificial intelligence in journalism.
Using LLMs in journalism: A risk-based approach
They are not trusted, but they are used. They are not entirely reliable and accurate, but journalists experiment daily with large language models (LLMs), which are likely to be used at each stage of the news process. What are the key risks and how can they be mitigated to ensure safe and meaningful use?
