PwC's Responsible AI

Are you anticipating future compliance? Complying with current data protection and privacy regulation and industry standards is just the beginning. We monitor the changing regulatory landscape and identify new compliance needs your organization should be aware of, and support the change management needed to create tailored organizational policies and prepare for future compliance.

How are you identifying risk? You need expansive risk detection and mitigation practices to assess development and deployment at every step of the journey, and address existing and newly identified risks and harms. PwC’s approach to Responsible AI works with existing risk management structures in your organization to identify new capabilities, and supports the development of any necessary operating models. 

• Model risk management of AI and machine learning systems
• Managing the risks of machine learning and artificial intelligence models in the financial services industr

Is your AI unbiased? Is it fair? An AI system that is exposed to inherent biases of a particular data source is at risk of making decisions that could lead to unfair outcomes for a particular individual or group. Fairness is a social construct with many different and—at times—conflicting definitions. Responsible AI helps your organisation to become more aware of bias and potential bias, and take corrective action to help systems improve in their decision-making.

• Bias Analyzer: Track and mitigate bias in AI model
• What is fair when it comes to AI bias

How was that decision made? An AI system that human users are unable to understand can lead to a “black box” effect, where organisations are limited in their ability to explain and defend business-critical decisions. Our Responsible AI approach can help. We provide services and processes to help you explain both overall decision-making and also individual choices and predictions, and we can tailor to the perspectives of different stakeholders based on their needs and uses.

How will your AI system protect and manage privacy? With PwC’s Responsible AI toolkit, you can identify strategies to lead with privacy considerations and to respond to consumers’ evolving expectations. 

• 2021 Global Digital Trust Insights

What are the security risks and implications that should be managed? Detecting and mitigating system vulnerabilities is critical to maintaining integrity of algorithms and underlying data while preventing the possibility of malicious attacks. The great possibilities of AI come with the need for great protection and risk management. PwC’s approach to Responsible AI includes essential cybersecurity assessments to help you manage effectively. 

Is your AI safe for society? AI system safety should be evaluated in terms of potential impact to users, ability to generate reliable and trustworthy outputs, and ability to prevent unintended or harmful actions. PwC’s Responsible AI services enable you to assess safety and societal impact to support this dimension. 

Is your data use and AI ethical? Our Ethical data and AI Framework provides guidance and a practical approach to help your organisation with the development and governance of AI and data solutions that are ethical and moral. 

As part of this dimension, our framework includes a unique approach to contextualising and applying ethical principles, while identifying and addressing key ethical risks.

Are you positioning your AI toward future compliance? As the regulatory landscape continues to evolve, maintaining compliance and responding to regulatory change will be critical. Leveraging PwC’s approach to Responsible AI can help you identify and evaluate relevant policy, industry standards and regulations that may impact your AI solutions. Operationalize regulatory compliance while factoring in localized differences.