Nearly two years ago, I commented on an article published in The Economist (linked above) that explored the potential for artificial intelligence to interfere with electoral processes through fabricated videos of politicians. I reflected on how this emerging reality could profoundly transform the core mission of academia, shifting its emphasis from traditional priorities such as teaching and scholarly publications toward activities centered on assessment, curation, and mentoring. Just yesterday, Politico reported that AI-driven deepfakes have now made a tangible impact on European elections. In Ireland, a manipulated video falsely depicted presidential candidate Catherine Connolly withdrawing from the race, while in the Netherlands, far-right politicians employed AI-generated images to tarnish and discredit their political opponents. https://www.politico.eu/article/elections-europe-ai-deepfakes-social-media/
Notably, two years ago, AI-generated Sora videos were purely hypothetical. What once existed only as a theoretical danger now moves openly in the world. The launch of Sora for ChatGPT Plus and Pro on December 9, 2024 — followed by the public release of its successor, Sora 2, on September 30, 2025 — did more than introduce a new AI tool; it unleashed a technology capable of reshaping reality itself. That shift is not incremental — it is tectonic. The availability of Sora 2 as a platform for generating deepfakes turns disinformation from a slow-burning threat into an immediate, scalable weapon. What were once abstruse academic warnings have metastasized into an urgent crisis: manipulated media now routinely corrodes public trust, warps political debate, and weaponizes appearance itself. These developments have remade the battlefield of truth, dramatically accelerating the risks of disinformation and political interference and forcing us to confront consequences once dismissed as hypothetical.
For academia this is an existential moment — an invitation to lead. Institutions must stop treating ethics as an afterthought and start treating it as infrastructure. Curricula, research priorities, and reward systems must be recalibrated toward detection, curation, mentoring, and public literacy. In the emerging era of synthetic media, ethics and integrity are no longer peripheral virtues — they are the currency by which scholars buy credibility, influence, and access to funding. Those who can reliably identify, contextualize, and counteract AI-driven deception will become the new gatekeepers of moral authority: custodians of a scholarly practice where intellectual rigor is meaningless unless paired with ethical accountability.
