Responsible AI
Responsible AI practices help organisations unlock value while managing risks and building trust.
Managing risk
Artificial intelligence is transforming business by streamlining activities, enhancing customer offerings, making workers more effective, and speeding up innovation—prompting executives to deploy intelligent applications and agentic systems. However, as AI systems become more powerful, the risks also increase, becoming complex, multidimensional, and incrementally harder to understand and manage. For most organisations, stepping back isn’t an option. What matters now is building and executing a strategy that embraces AI-driven transformation while protecting value and managing risk through Responsible AI principles.
Responsible AI is a set of practices that help organisations unlock the full potential of AI while addressing its inherent risks. These practices support a consistent, transparent, and accountable approach to managing both risk and reward. They also foster collaboration across stakeholders, helping shape strategies and policies that put effective risk management first—and maintain AI systems that reflect the organisation’s values and objectives.
Building trust
Trust through Responsible AI
Companies are increasingly faced with tough questions:
- Are your AI initiatives moving fast enough—or are they falling short of your ambition?
- What measurable value are you seeing from AI—and how are you tracking it across your business?
- Is your AI strategy fully aligned with your long-term business goals?
- How do your AI applications reflect your company’s policies and values?
- Are you proactively managing the risks that come with AI adoption and use?
- Can you trust your third-party AI tools to meet your standards?
- Are your third-party AI tools meeting your standards for performance and accountability?
- Are you upholding your customers’ and stakeholders’ privacy rights—in practice, not just policy?
Your answers should begin and end with Responsible AI.
How we can help
Building Responsible AI
We work with you to build Responsible AI programmes—addressing risk head on, meeting evolving requirements, putting sustainable processes into practice, and building trust at every stage. Our interdisciplinary team brings together expertise from across our business to make AI practical, trusted, and ready to scale.
See how your current processes, policies, and operating model measure up to leading practices and support your AI goals.
Build the core of your Responsible AI programme with these key capabilities:
- Responsible AI principles
- AI use-case inventory
- AI risk taxonomy
- AI risk intake and tiering
Turn foundational capabilities into action with a structure built for accountability, communication, and clarity:
- Operating model—roles and responsibilities
- Governance committee and escalations
- AI risk and control matrix
- Training and communication
Build trust and transparency into every implementation through consistent processes, shared standards, and rigorous testing:
- AI development and deployment standards
- AI testing and monitoring (including model testing, red teaming)
- Risk mitigation tracking and reporting
As Responsible AI programmes mature, risk and governance functions need to keep pace. Embedding these into your operations—from oversight to controls—is what turns early ambition into long-term impact. The following functions are critical to making it real:
- Internal audit
- Cybersecurity
- Data governance
- Compliance and legal
- Regulatory readiness
- Data risk and privacy
Responsible AI in action: Client zero
We are our own client zero—transforming our business across all functions to better serve yours. Responsible AI, for us, means human-led and tech-powered. We’re harnessing the transformational power of generative AI by putting it directly in the hands of our people and our clients. Our goal is to embed AI into our capabilities and tools—driving real results while staying grounded in responsible use. Want to see what responsible AI looks like in practice? Let’s start the conversation.
Our AI services help you turn opportunity into outcomes. See how we put it into practice.
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Get in touch
Joe Atkinson
Global Chief AI Officer for the PwC Network of Firms
PwC United States
As a member of the global Commercial Leadership Team, Joe works with the global practice and market leaders to bring the power of AI to our clients and enhance our delivery models.
Scott Likens
Global Chief AI Engineer, Principal
PwC United States
Scott Likens has more than 30 years of experience. He enjoys staying curious around all technologies and how they support fundamental business transformation.