"From the Frontlines" is an ADL podcast which brings listeners to the frontline in the battle against antisemitism and hate through conversations with ADL staff who are living that battle every day.

Today's frontline is unlike any we've faced before - it's digital, it's rapidly evolving, and it's reshaping how hate spreads and how we fight it. Nowhere is this more clear than with artificial intelligence. The irony, though is that the same technology that holds incredible promise for fighting hate is also being weaponized to spread it at unprecedented speed and scale. Today's conversation explores both sides of this digital battleground with three experts who are literally on the frontlines of this technological fight.

1. Daniel Kelley, Director of Strategy and Operations at ADL's Center for Technology and Society. Daniel leads ADL’s efforts to understand how emerging technologies impact hate and extremism, and he's been instrumental in developing ADL's approach to AI governance.

2. Sara Aniano, a Disinformation Analyst at ADL's Center on Extremism. Sara tracks how AI is being used to create and spread false narratives that fuel antisemitism and other forms of hate, and her work helps us stay ahead of rapidly evolving disinformation tactics.

3. Tomer Poran, Vice President of Solution Strategy at ActiveFence, a company that uses AI to detect and counter online harms. Tomer brings a private sector perspective on how technology companies are grappling with these challenges and developing solutions.

Together, they help us understand not just the threats we face, but the tools we have to fight back.

This conversation was originally recorded in June 2025 as a moderated panel at ADL New York/New Jersey’s Annual Meeting. In the audience were the region’s top leaders and donors.

To read more about ADL's concerns about artificial intelligence, click here to view a recently released report on the subject from ADL's Center for Technology and Society: https://www.adl.org/resources/press-release/anti-jewish-and-anti-israel-bias-found-leading-ai-models-new-adl-report.

Correction: Please note that a statistic was used at minute 29:40 where Sara Aniano was talking about usage of ADL’s AI software. She said that it has analyzed "300 million text based messages," but she should have said "30 million text based messages."