This document discusses the ethics of increasing automation and the evolving knowledge infrastructure. It notes challenges around trusting automated analysis with no human in the loop, and understanding complex and evolving data sources. Breakout groups are proposed to discuss interventions for improving research quality, issues around reproducibility with different data types, and the impact of large online data on reproducibility in social sciences. The document references challenges around safety vs security, and tradeoffs between hardening systems and adaptive response.