Synthesia views robust AI governance not as a cost but as a business accelerator. Early investments in security and privacy build the trust necessary to sell into large enterprises like the Fortune 500, who prioritize brand safety and risk mitigation over speed.
A content moderation failure revealed a sophisticated misuse tactic: campaigns used factually correct but emotionally charged information (e.g., school shooting statistics) not to misinform, but to intentionally polarize audiences and incite conflict. This challenges traditional definitions of harmful content.
To accelerate enterprise AI adoption, vendors should achieve verifiable certifications like ISO 42001 (AI risk management). These standards provide a common language for procurement and security, reducing sales cycles by replacing abstract trust claims with concrete, auditable proof.
AI video platform Synthesia built its governance on three pillars established at its founding: never creating digital replicas without consent, moderating all content before generation, and collaborating with governments on practical regulation. This proactive framework is core to their enterprise strategy.
An internal chatbot's usage increased sevenfold when moved from a public channel to a private interface. This highlights a key psychological driver for AI adoption: users are more likely to engage when they can ask basic questions without fear of social judgment.
The UK's strategy of criminalizing specific harmful AI outcomes, like non-consensual deepfakes, is more effective than the EU AI Act's approach of regulating model size and development processes. Focusing on harmful outcomes is a more direct way to mitigate societal damage.
Despite stated goals to build a strong domestic AI industry, governments like the UK procure the vast majority of their AI services from foreign companies. This sends a negative signal about local technology and fails to create an internal market, starving homegrown AI companies of crucial revenue.