This panel brings together leaders in AI safety from industry and academia to examine how alignment theory is translating into real-world safeguards. How are companies operationalizing red-teaming, interpretability, and safe RLHF across product lines? What does meaningful “alignment” look like for frontier models and autonomous agents? Hear from practitioners embedding guardrails into high-impact systems and gain insights on how to responsibly scale AI while avoiding unintended harm. Walk away with a pragmatic view of safety—not just as a research ideal, but as a critical component of deployment strategy.
