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Artificial Intelligence & Data, Innovation & Emerging Technology

How can trust and safety evolve in the AI era?

AI now sits at the center of the trust and safety conversation. That was clear during the closing plenary at Trust and Safety India Festival (TASI) 2026 Rob Lewington, Senior Vice President, Head of Trust and Safety at TP - 11/11/2026

Trust and safety has long relied on policy and scalable operations. AI adds a new dimension because AI systems themselves can create risk while also supporting the response to it. Leaders need to understand both sides of that reality as they decide how to protect users and maintain confidence in digital services.

The shift is already underway. AI is an unspoken center of many trust and safety discussions, and the industry benefits from naming that change directly. Doing so helps organizations focus their expertise and operating models on the risks that matter most.

At TP, we bring responsible AI governance and deep operational insight to this work, helping clients strengthen trust across their digital ecosystems as AI scales. Clear accountability gives innovation the foundation to grow responsibly. Our expertise combines responsible AI governance with deep operational experience, helping clients strengthen confidence in their digital ecosystems and support sustainable growth.


Establishing ground truth in an AI-driven environment


At TASI 2026, our booth gave attendees a hands-on experience with technology designed to identify AI-generated images and videos. They could scan a QR code and upload their own material, which prompted conversations about the practical value of understanding how digital media was created.

For me, the demonstration illustrated why technology and specialized human expertise need to work together. This combination sits at the heart of TP’s approach to providing clients with ground truth: a reliable basis for understanding the material they encounter and making informed decisions about it.

That foundation also matters for safe AI. Governance should define how detection results inform decisions and when specialized human expertise is needed to interpret them. Clear responsibility for those decisions helps organizations apply the technology consistently, connecting its capabilities to the trust they need to maintain across their digital environments.


Industry experience can guide the AI era


AI creates a new chapter for trust and safety, yet the industry enters it with experience built through earlier technological shifts. That experience includes the discipline to identify emerging harm and the partnerships needed to respond to it.

The task now is to carry that learning forward. AI needs to be managed as part of the risk environment, while its capabilities can also help the industry build safer digital experiences. This perspective supports a more grounded approach to the next phase of change.

The message I took from TASI 2026 is clear: progress in trust and safety includes the harm that industry effort helps contain. That is a strong foundation for the AI era.

Watch my full episode of The Scoop with TP on TP’s YouTube channel:


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