Dr. Limor Ziv, founder of Humane AI and a lecturer on responsible AI, recently participated in a panel on data and elections at the "Making Communications, Between Us and Intelligence" conference hosted by Reichman University School of Communication. The conversation stayed with her, and the reason is worth understanding.
Two Forces Operating in Parallel: Flooding and Precision
Upcoming elections, like every election from here forward, will operate under the logic of artificial intelligence. Ziv identifies two forces working simultaneously, appearing to pull in different directions but exploiting the same human vulnerability.
The first is flooding: feeds filling with content that mixes authentic posts and AI-generated material until the distinction becomes impossible. The second is precision: tools that know us deeply, understand our tendencies and soft spots, and address us in exactly the language we respond to.
Why the Combination Is the Real Problem
Flooding accelerates cognitive fatigue. No one can filter that volume of information and remain critically sharp over time. And precisely when we are tired, when our filtering capacity weakens, precision enters. Messages built specifically for each of us arrive at the moment when we are most open to influence, least able to evaluate them carefully.
What This Means for Responsibility
Ziv does not stop at describing the problem. The panel brought together researchers, advocates, and media professionals to think through the implications together. That kind of collective reflection, creating space to pause and examine what AI is doing to public discourse, is identified as part of the response. Awareness is a precondition for any meaningful action.