麻豆社

Radio has always adapted to change. From analogue to digital, from local broadcasts to global reach, it remains one of the most trusted and accessible media platforms in the world - particularly across Africa, Asia, and the Middle East and North Africa where we work.

Today, artificial intelligence is reshaping the global media landscape at unprecedented speed. For radio, AI offers powerful possibilities: faster translation, streamlined production, and the potential to support rapid sharing of critical information in emergencies. In regions where radio is often the first - and sometimes only - source of trusted news, these tools could play an important role in extending reach and strengthening resilience.

However, in many fragile and resource-constrained contexts, time-poor journalists are already experimenting with AI tools without the training, guidance, or safeguards needed to use them effectively. While these tools can offer efficiency gains, they also introduce risks - including inaccuracies, hallucinated content, mistranslation, and the accidental repetition of biased information.

This raises an important question for the development sector: will AI widen existing inequalities in media systems, or help close them?

The answer lies not in the technology itself, but in how it is used. AI offers both promise and peril - the potential to accelerate impact, but also to amplify misinformation and exclusion if mishandled. These risks are especially acute where trust is hard-won, and journalists are under pressure to produce content quickly with limited resources.

As AI and deepfakes become more widespread, journalists need support to understand how these tools work - and how to use them responsibly in the public interest.

Building AI literacy

We recognise that AI literacy is essential for journalists to navigate an evolving media landscape safely. This includes hands鈥憃n skills such as spotting deepfake and AI鈥慻enerated content, understanding how generative tools can introduce inaccuracies, errors and bias, assessing when AI outputs require additional verification, and reflecting on the wider AI landscape in each country where we work. By building this awareness, journalists are better equipped to maintain trust with audiences, make informed editorial decisions, and adapt responsibly to technological change.

Responsible approaches to AI must keep people firmly in control, with a clear human-in-the-loop. AI can support speed and scale, but editorial decisions must remain human to safeguard accuracy, context, and credibility. Training and capacity building are just as critical as access to tools: journalists and broadcasters need the skills, confidence, and ethical frameworks to understand not only how to use AI, but when not to.

At 麻豆社 Media Action, the 麻豆社鈥檚 international charity, people - and the audiences we serve - remain at the heart of all we do. Guided by the 麻豆社鈥檚 Editorial Values, our work strengthens local media through training, research, knowledge-sharing, and long-term support - helping ensure innovation enhances trust rather than undermines it. We believe AI can be a newsroom ally, but only when journalists remain in control and guided by strong editorial values.

Co-creating AI guidelines

In Zambia, 麻豆社 Media Action worked closely with our partner radio stations to explore how AI might affect newsrooms and how it can be approached responsibly. Through practical training, journalists and editors explored both the opportunities and limitations of AI tools, including risks such as inaccuracies, bias, and cultural mismatch.

Partners co-designed their own guidelines for responsible AI use - grounded in transparency, accuracy, and human editorial oversight - ensuring any future use of technology remains rooted in public trust. Learn more about that here. 

Responsible AI in practice

In Indonesia, journalists, civil society representatives, academics, filmmakers, and storytellers came together for a three-day 鈥楻esponsible AI鈥� workshop. Twenty-five participants built practical skills in identifying and countering mis- and disinformation, while reflecting on how AI and emerging technologies can be used responsibly.

鈥�The material gave information and expertise of how to properly use various AI programs鈥� said one director after the workshop, another editor shared how they felt 鈥�difficulties (in using AI) might arise, but that it can be learned with practise.鈥�

By exploring ways to support rights, environmental protection, and trustworthy storytelling, participants left inspired.

Ensuring content authenticity

Across our work with The Coalition for Content Provenance and Authenticity (C2PA) and partner newsrooms, we support journalists to verify digital content, use AI responsibly, and develop guidelines that keep human judgment and audience trust at the centre. The C2PA creates a global technical standard for content provenance - embedding cryptographically signed metadata in images, video, and other media to show their origin and editing history. Drawing on expertise from 麻豆社 Research and Development (R&D), we help journalists understand and use this provenance data responsibly, strengthening their ability to authenticate content and maintain audience trust.

A human-centred future

As AI continues to evolve, radio鈥檚 enduring strength remains unchanged. Its power lies in human connection - in trusted voices, local understanding, and accountability to communities. On World Radio Day, we are reminded that the future of radio is not artificial.

It is human-centred, with intelligence designed to serve it.

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