1. The nexus of Transparency, Media Freedom and AI<\/h2>\n\n\n\n
Beyond the absence of active censorship, for media freedom to exist, journalists must have the capacity and reasonable access to enable interrogation in the worthy<\/em> undertaking of keeping power in check<\/em>. To exercise this right, media has always demanded transparency from governments, and other institutions. Freedom of information legislation and open-data regimes provide the legal right to obtain documents and datasets, forming the infrastructure that allows journalists to investigate and verify claims. This is a key cornerstone of a free press. Conversely, consistent scrutiny, exposure of corruption and policy explainers creates \u2018accountability pressure\u2019<\/strong> on governments and institutions to disclose information and justify decisions. I argue then that Institutional transparency, therefore, exists in a mutually reinforcing cycle with media freedom.<\/strong><\/em><\/p>\n\n\n\n Today, AI is fast becoming both institutional and infrastructural power across systems and sectors. AI is no longer a \u2018tool,\u2019 it now shapes how institutions function, who can act, and what kinds of decisions are even possible. In practice, AI is increasingly \u2018siting\u2019 inside workflows, public administration, cloud platforms, and governance systems, so it starts to structure authority. For media itself, the conversation on how AI is reshaping journalism is so rampant \u2014 there is hardly a media conference since 2024 without this as a core theme. And so:<\/p>\n\n\n\n As this conversation is still nascent in the industry, there\u2019s no one definition for AI transparency in media. However, any definition you use is likely to fit into three buckets\/boxes: Power, Systems and Use in media.<\/strong><\/em><\/p>\n\n\n\n <\/p>\n\n\n\n Media\u2019s understanding of AI power and systems must encompass not only \u2018who owns it\u2019<\/em> and \u2018how it works\u2019<\/em> but also \u2018who is affected, why and how\u2019 <\/em>This must happen both at a societal level, and at the industry level too. As media navigates the \u2018AI revolution\u2019 it is important to also question how AI is rapidly changing how media\/news is received, consumed and appraised. Unfortunately, media, especially public interest media in the global south is often unable to fully examine AI power and systems due to access issues and technical gaps. Media exists for audiences, and trust is a key theme for media freedom. Audiences must trust content from media for any accountability pressure on institutions to occur. Otherwise, when deemed \u2018untrustworthy\u2019<\/em> a media outlet\/journalist becomes easy to delegitimise. Trust, therefore, is the greatest tension to why AI transparency matters for media freedom. So, how are audiences meeting this AI moment?<\/strong><\/em><\/p>\n\n\n\n I argue that the audience condition flattens the three transparencies<\/strong> mainly because they are not encountering AI power or systems per se; they are encountering outputs (from self-directed exchanges with AI)<\/em>, and content (externally delivered, sometimes by media)<\/em>. As they interact with these outputs and AI-Generated content, audiences are increasingly realising the vast abilities of AI in generating images, text and fabricating voices and video. They understand AI can do these things fast, and it is likely then, that media makers would use it in their work.<\/p>\n\n\n\n![\"\"](\"https:\/\/www.rnw.media\/wp-content\/uploads\/2026\/04\/gambar.png\")
<\/figure>\n\n\n\n2. AI transparency in Media<\/h2>\n\n\n\n
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<\/figure>\n\n\n\n3. The Audience Condition<\/h2>\n\n\n\n
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