Building Trust and Safety in the Age of AI

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As digital ecosystems become more complex and stakeholder expectations rise, industry leaders have an opportunity to treat trust as a differentiator. Invest in trust now, and then the returns in loyalty, innovation, and brand strength will follow.

Trust and safety are essential for businesses to succeed and grow. Without them, organizations risk creating an environment of uncertainty for users, customers, and partners alike. In a world where AI innovation and digital transformation are redefining how we work, shop, and connect, one factor remains constant: trust. Without it, even the most advanced technologies struggle to win long-term loyalty.

Yet trust is under pressure. According to a recent Trust and Safety Outlook 2025 Survey, nearly one in three people say they have low or very low trust in online platforms—a rate more than double that found outside the technology, media, and telecom sector (TMT). This erosion of confidence poses real business risks. Whether the threat comes from algorithmic bias, online misinformation, or data breaches, organizations that fail to address it can risk losing critical business assets, including customers and revenue.

The path forward lies in creating and implementing measurable trust and safety (T&S) strategies that safeguard people, data, and foster transparency. And the evidence is clear: introducing a new T&S feature can directly boost engagement and produce real business results. Seventy-two percent of consumers say they’d be more likely to interact with a company offering such a feature, 68% would consider purchasing a new product or service, 61% would explore add-ons, and 59% would consider related merchandise.

From Compliance to Business Catalyst

T&S has evolved far beyond being compliance checkboxes. It is now an essential business enabler—the guardrails that keep innovation on course, confirming that digital interactions are safe and trustworthy.

These initiatives can take many forms, including:

  • AI safety protocols to help prevent harmful or biased outcomes.
  • Online harm prevention measures to help reduce fraud, harassment, and exploitation.
  • Data governance frameworks to help safeguard sensitive information.
  • Regulatory compliance to meet—and often exceed—global standards.

When executed well, T&S initiatives do more than mitigate risk. They can unlock growth by deepening user and customer loyalty, opening new markets, and enhancing operational resilience.

Building a Future-Proof T&S Framework

Establishing effective capabilities requires more than just investment. It takes intentional design and a strong commitment from leadership to succeed. It begins with assessing and identifying risks—a cross-functional effort to uncover and prioritize vulnerabilities before setting clear tolerance thresholds.

Equally important is embedding safety into product development. By integrating T&S considerations into early-stage design, organizations can avoid costly fixes down the line. This “shift left” approach confirms that T&S professionals are engaged well before products reach the launch phase, reducing risk and strengthening user trust from the start.

See also: Navigating the Evolution of AI: Trust, Oversight, and the Power of Agentic Systems

Establishing policy and enforcement capabilities

Trust and safety frameworks should clearly define expectations, including enforceable policies, and outline escalation paths. Organizations should also monitor emerging risks proactively by tracking regulatory changes, identifying new threats, and maintaining the agility needed to remain compliant and competitive in a fast-changing environment.

A strong governance approach enables organizations to navigate risks with confidence and lead with accountability. Adopting Responsible AI practices and evolving frameworks helps facilitate consistency, compliance, and alignment with broader digital strategies.

Balancing Cost and Impact

One of the major concerns for executives is how to deliver strong T&S programs without driving up costs. The most effective organizations treat the efficiency of T&S approaches as a strategic design principle rather than a budget-reducing afterthought.

They embed T&S teams within business units, use AI to manage and monitor lower-complexity tasks, and centralize specialized expertise in cost-effective locations. This approach creates a scalable and sustainable foundation for safety.

When investments are made strategically, the returns can be significant. AI-driven monitoring tools help strengthen data protection while reducing manual oversight, and automated compliance processes boost efficiency while lowering the risk of human error. Embedding these capabilities into existing workflows lets organizations increase current resources with less overhead.

Industry leaders should clearly show stakeholders how T&S efforts can deliver measurable value. By linking trust and safety investments to tangible outcomes, organizations can secure ongoing support and position these programs as catalysts for growth—rather than cost centers.

The Path Ahead

In the AI era, trust and safety are not optional — they are the foundation on which innovation should be built. Organizations that make these principles a priority will be the ones that not only avoid missteps but also set the pace for responsible growth.

As digital ecosystems become more complex and stakeholder expectations rise, industry leaders have an opportunity to treat trust as a differentiator. Invest in trust now, and then the returns in loyalty, innovation, and brand strength will follow.

About Dan Hays

Dan Hays is Principal, Enterprise, Regulatory and Policy Strategy, at PwC US.

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