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In a world where the pace of innovation is measured in days and weeks rather than months and years, and where breakthroughs in technology are announced with increasing frequency, it’s necessary to foster rapid progress in your AI strategy while effectively preserving value, delivering ROI and managing risks.
When confronted with novel technologies (and therefore potentially novel risks), the typical instinct is to be conservative. But conservatism is not an option when the world is moving fast.
Responsible AI is a set of practices that help create confidence in decisions, balancing the risks and rewards of adopting AI technologies and solutions. Responsible AI helps AI initiatives succeed more quickly, often with fewer issues, pauses and mistakes.
Risk is more effectively managed through standardized measurement and evaluation of risks, governance and controls commensurate with the risks, and tools to monitor performance over time.
Your answers should start and end with Responsible AI.
We help our clients build AI programs designed to efficiently assess and address risks, proactively respond to AI requirements and develop and implement sustainable processes – all of which can help accelerate innovation while building trust and preserving value.
Evaluate whether your current processes, policies, and operating model reflect Responsible AI leading practices and align with your organization’s AI ambitions.
Set the foundation for your program with the following foundational capabilities:
Operationalize foundational capabilities through an accountability – and communication – structure that will set your organization up for success:
Establish processes, standards and testing to build perpetual trust and transparency in your implementations:
Responsible AI is a journey. As organizations continue to drive AI initiatives and the footprint of AI within organizations continues to grow, various risk management functions will need to scale and evolve to meet the needs of AI. Here are some functions that will be critical in operationalizing Responsible AI:
At PwC, we are client zero and transforming our own business, at scale, across all of our functions to better understand how to serve our clients. Responsible AI is human-led and tech-powered, and we are taking advantage of the transformational nature of GenAI and putting the technology directly in the hands of our people and our clients. Our goal is to embed AI into our capabilities and tools used across our business to deliver tangible, practical benefits, while using the technology in a responsible way. Interested in learning the benefits? Contact us today.
Jennifer Kosar
AI Assurance Leader, PwC US
Rohan Sen
Principal, Data Risk and Responsible AI, PwC US
US Private Practice Leader, New York, PwC US