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Ethics and Responsible AI Fellowship (ERAI)

Equipping journalists to understand, question and report on an AI-shaped information ecosystem

Artificial Intelligence is transforming how information is created, distributed and weaponised. Journalists increasingly face deepfakes, algorithmically amplified misinformation, AI-driven harassment and opaque systems that influence what audiences see and believe.

When journalists lack the skills to identify, interrogate and explain these technologies, the consequences extend beyond the newsroom. Audiences are more vulnerable to manipulated narratives, trust in journalism can erode, and democratic accountability can weaken.

Yet structured, practical training that helps journalists navigate AI ethically and responsibly remains limited.

The Ethics and Responsible AI Fellowship (ERAI) is an international executive learning programme for experienced journalists seeking the clarity, confidence and judgement to work in—and report on—a world increasingly shaped by artificial intelligence.

ERAI does not seek to turn journalists into technologists. Instead, it equips them to ask sharper questions about algorithms, institutions, evidence and power—and to translate those questions into journalism that serves the public interest.

Programme Snapshot

ERAI is an 11-week, cohort-based executive learning programme for experienced working journalists. It combines live online sessions with leading AI experts, technologists, journalism educators and senior newsroom practitioners, as well as intensive peer learning.

The curriculum focuses on responsible and ethical AI, governance, content authenticity, algorithmic accountability and disinformation resilience.

The emphasis is practical: fellows learn how to apply these principles to their reporting, editorial decisions and newsroom practices while maintaining professional independence and respecting regional and cultural contexts.

What the Fellowship Delivers

ERAI brings together mid-career journalists, reporters and editors from different regions who want to understand how technological systems influence public life—and how journalism can respond responsibly.

Fellows engage with faculty drawn from global journalism schools, AI ethics and governance communities, technology research institutions and newsrooms that have developed newsroom-wide AI policies.

Fellows will:

Examine AI ethics and governance — Understand the responsibilities, risks and policy debates surrounding AI in public communication.

Strengthen verification skills — Develop practical methods for identifying and investigating deepfakes, synthetic media and manipulated content.

Investigate algorithmic bias — Learn how automated systems can reproduce or amplify discrimination, with particular attention to communities in the Global South.

Build newsroom practices — Design and test responsible AI approaches that can be adapted to their own editorial environments.

Join a global peer network — Connect with journalists working to improve public understanding of AI and strengthen trust in journalism.

ERAI ultimately seeks to build a new generation of journalists who can do more than report on AI’s newest developments. They can question the systems behind them, scrutinise their consequences and explain their implications to the public with independence and responsibility.

Nibeditaa Speaks

Nibedita Sen is a seasoned Defence correspondent and aerospace journalist with over a decade of experience covering national security, aviation ecosystems, and strategic technologies. Trained under a Government of India program in 2018, she brings a field-informed and policy-driven perspective to her reporting on India’s rapidly evolving Defence and aerospace landscape. 

She is working with Edinbox since its inception. When she is not working, you can find her exploring new places and food. She is also a National level cadet from Scouts and Guides since the age of 7. Nibedita's international tenure includes environmental reporting as a science communicator for the Jerusalem Post. Her work transcends borders, illuminating complex scientific and environmental issues for global audiences.

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