Samya Ayish is a Middle East–based journalist, media strategist, and digital storytelling expert working with Arab Reporters for Investigative Journalism, the region’s leading investigative journalism network. She specializes in translating complex investigations into compelling, audience-focused narratives across digital platforms.
She brings a strong background in multimedia journalism and newsroom innovation, with experience spanning roles at CNN Arabic and the Google News Initiative, where she trained journalists across the MENA region. Her work focuses on visual storytelling, verification, and the use of emerging technologies—including AI—in journalism.
At ARIJ, she plays a key role in strengthening the reach and impact of investigative reporting, leading communication strategies and capacity-building programs. Through her work, she helps ensure that critical public-interest stories not only get reported, but are seen, understood, and acted upon. Samya leads the AI efforts at ARIJ internally and externally, helping the ARIJ team and the wider community understand the importance of using AI, while keeping in mind the ethical guidelines and standards of using it.
RFW: What is the biggest mistake newsrooms are currently making when approaching AI?
Samya: The biggest mistake newsrooms make is viewing AI strictly as a collection of tools. While we are frequently asked for the latest software recommendations, the focus should instead remain on the daily “pains” and systemic struggles journalists face. AI is merely a medium to help solve those core challenges. Adopting technology without a problem-first mindset is unsustainable; it leaves newsrooms with a cluttered toolbox but no long-term strategy.
How should a newsroom define its goals for AI before adopting specific tools or technologies?
To define AI goals effectively, newsrooms must shift from a tech-first approach to a problem-first framework. This begins with a rigorous “pain point” audit to identify where repetitive tasks, such as transcription or SEO metadata, are draining resources. By categorizing objectives into pillars of efficiency, quality, and growth, leadership can move beyond novelty and toward measurable outcomes like reduced production time or increased audience retention. Success requires establishing firm ethical guidelines, ensuring a human in the loop approach, and forming cross-functional committees to ensure the technology serves the mission. Ultimately, the goal is not to build a collection of tools, but to use AI as a strategic lever to solve specific bottlenecks and free journalists for high-value storytelling. This philosophy is central to our work at ARIJ. We have established an AI committee dedicated to architecting all organizational AI workflows and projects. By collaborating across departments, the committee holds regular consultations to identify evolving challenges and ‘pain points.’ This ensures we design strategic workflows that directly address the team’s needs rather than just deploying technology for its own sake.
What does responsible AI governance look like within a newsroom, particularly in contexts with political pressure or limited press freedom?
In high-pressure or restrictive environments, responsible AI governance shifts from a focus on efficiency to a strategy of institutional survival and digital safety. This involves implementing a rigorous human in the loop framework to prevent AI hallucinations that could lead to legal retaliation. Crucially, governance must prioritize data sovereignty, forbidding the upload of sensitive source material to public cloud models to prevent state surveillance or data leaks. At ARIJ, we have established a set of ethical guidelines that serve as the foundation for our AI integration. We require all team members to consult these principles regularly to ensure full compliance in their daily work. Our framework is built on a set of critical pillars: privacy and digital safety, intellectual property and copyright, combating misinformation and bias, and maintaining a strategic balance between human oversight and machine dependency.
How can journalists integrate AI into their workflows while maintaining source protection, confidentiality, and trust?
Protecting the heart of journalism in the age of AI isn’t just a technical challenge, it’s a commitment to the people who trust us with their stories. For journalists, this means treating AI like a secure, private vault rather than a public bulletin board. Instead of using open tools that might leak a whistleblower’s identity or a sensitive tip, we always advise our journalists against adding any sensitive or private information on the open models, fearing that they might be relying on such data for learning and teaching. It’s also about being a responsible gatekeeper: using AI to help dig through mountains of paperwork, but always having a human editor verify every fact to ensure our “machine-assisted” work still has a human soul. By being radically honest and transparent with our readers about how we use these tools and using tech to shield our sources from harm, we prove that while our methods are evolving, our promise to protect the truth remains unchanged.
Where do you see AI adding the most value in investigative journalism, beyond efficiency and production?
While many newsrooms utilize AI for routine tasks, such as translation, SEO optimization, and social media drafting, ARIJ leverages the technology for deeper, more complex investigative needs. For us, AI is a powerful tool for navigating big data, restructuring disorganized information, and uncovering hidden links between key actors and entities. Beyond the newsroom, AI has become important in analyzing audience behavior to deliver personalized content that maximizes real-world impact. Furthermore, some organizations are now deploying AI to refine their business models and market strategies, ensuring the long-term sustainability of independent journalism.
In what ways can AI support cross-border investigative collaborations such as those led by ARIJ?
For cross-border collaborations like those led by ARIJ, AI acts as the “connective tissue” that bridges the gap between different languages, data formats, and legal systems. Its most human-oriented value lies in breaking down the language barrier, by using AI to summarize and extract key entities from multilingual documents. This way, an Arab journalist can instantly understand the significance of a court filing or a corporate record from another language without needing a translator. Furthermore, AI excels at “connecting the dots” through matching and identifying when the same corrupt actor uses slightly different name spellings across various national registries. It also transforms the dark side of massive leaks, thousands of blurry photos, receipts, and scanned PDFs, into organized, searchable spreadsheets in a fraction of the time. By handling this overwhelming work of data translation and organization, AI enables our team to operate as a single, unified brain, allowing our journalists to focus their energy on the high-stakes human storytelling.AI tools are valuable not only for content production but also for streamlining workflows and enhancing collaboration across different teams.
To what extent does reliance on AI tools from large technology companies create new dependencies for journalism?
Relying on AI tools from global tech giants creates a new ‘infrastructure dependency’ that mirrors previous industry struggles with platform-led distribution. By integrating these models into the heart of the newsroom, journalists risk outsourcing their editorial logic to a black box, where Western-centric biases can quietly skew investigative outcomes. This leaves newsrooms vulnerable to the whims of tech giants, from volatile API pricing to shifting legal terms. For organizations like ARIJ, this dependency also highlights the Arabic gap, where regional nuances are often lost in models trained on English data. Furthermore, a constant reliance on AI for drafting risks the gradual erosion of professional writing skills, potentially silencing the journalist’s unique voice. To maintain true independence, newsrooms must pursue ‘AI sovereignty,’ investing in open-source models and private infrastructure to ensure the ‘brain’ of the investigation remains under their own control.
How should newsrooms in the Global South approach AI differently from well-resourced Western organizations?
In the Global South, our understanding and adoption of AI are shaped by deep-seated structural barriers, the most prominent being the ‘data desert’ in local languages. Because most AI models are trained predominantly on English-language datasets, engaging with them in other tongues remains a persistent challenge. This is not merely a linguistic hurdle; it is a cultural and societal one that fundamentally distorts a model’s accuracy and bias. For example, generative AI frequently fails to produce authentic visual representations of Arab identity; instead, it defaults to reductive stereotypes that mirror the Western-centric data it was fed. Even with detailed prompting, marginalized communities often remain invisible due to a total lack of representative data. Ultimately, these technologies are architected by global corporations whose commercial interests rarely align with the ethical and local concerns of regional newsrooms.
How can AI be used not only to produce journalism more efficiently, but to increase its real-world impact?
To move beyond mere efficiency, AI must be viewed as an impact enabler that translates investigative findings into tangible social change. The process begins with AI’s ability to decode complex patterns of systemic injustice within a community. Once these findings are established, AI-driven audience segmentation ensures the story reaches the specific stakeholders and decision-makers positioned to enact change. Furthermore, by automating the adaptation of stories into diverse formats, such as audio, video, and interactive digital content, AI ensures that vital information is accessible to all audiences, regardless of how they consume news. Finally, predictive analytics allow newsrooms to monitor public discourse in real-time, helping journalists understand and navigate the evolving conversation sparked by their work.
What role should journalists play in shaping the governance and accountability of AI, both within newsrooms and in society more broadly?
While there is immense excitement and a clear desire to adopt these new technologies, the surrounding hype often creates a sense of chaos that can bypass essential governance and ethical standards. To navigate this, we must foster continuous dialogue, encouraging journalists to share both the success stories and the cautionary tales of how AI has either empowered or complicated their work. Furthermore, journalists must embrace their role as educators within their communities. By championing ethical standards and AI literacy, particularly in the fight against mis- and disinformation, journalists can help the general public navigate this new information landscape with skepticism and clarity.