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Responsible AI

AI you can trust

As AI continues to proliferate, trust in AI-enabled systems requires governance that conforms to market expectations and aligns with organisational ethics. AI driven value is multiplying rapidly and driving market opportunities and economic growth in unprecedented ways. To stay competitive, companies need to unlock the full value of AI and data driven analytics while also focusing on its secure and ethical use.

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How we can help

AI governance vision, design and planning

To assist in the formulation of AI governance, which includes developing a vision for AI adoption, designing a governance structure, establishing ethical AI principles, defining AI practice framework and policies, and identifying use cases and adoption roadmap.

Organisational AI maturity benchmarking assessments and roadmap development

To evaluate an organisation's AI governance, strategy, business and operational capacity and capabilities across the entire AI life cycle, including strategy, planning, ecosystem, development, deployment and operating and monitoring. Gaps across the 19 sub-domains of AI life cycle will be identified and prioritised in order to create a roadmap for maturation gap solutions.

AI application impact assessments

Assess the impact of specific AI application against the defined ethical AI principles. Comment on whether all ethical AI considerations are addressed during the development and maintenance process of AI application.

Explainability, bias, and robustness analysis for AI models

Conduct in-depth analysis of explainability, bias and robustness for a specific AI application.

Privacy, regulation and policy compliance support

Conduct in-depth analysis on practices adopted during the development and maintenance procedures of a specific AI application in relation to privacy and regulatory requirements.

Client issues we address

Lack of a holistic and systematic governance, risks and compliance framework

The introduction of AI exposes companies to a wide range of related risks that need managing: e.g., ethical, performance, security.

Lack of a holistic and systematic governance, risks and compliance framework

Limited experience in supporting best practice development processes for AI applications.

Lack of a holistic and systematic governance, risks and compliance framework

Incidents with existing AI applications and the need to mitigate reputation risks with all stakeholders.

Lack of a holistic and systematic governance, risks and compliance framework

Governance maturity is not keeping pace with the accelerated use of AI.

Lack of a holistic and systematic governance, risks and compliance framework

Lack of resources with AI experience leading to an inability to maximise the benefits that AI can bring.

Contact us

Jennifer Ho

Jennifer Ho

Asia Pacific Risk Assurance Leader, Mainland China and Hong Kong Digital Trust & Risk Leader, PwC Hong Kong

Tel: +[852] 2289 2919

Eric Liang

Eric Liang

Partner, PwC China

Tel: +[86] (10) 6533 5979

Chun Yin Cheung

Chun Yin Cheung

Partner, PwC China

Tel: +[86] (21) 2323 3927

Chris Mo

Chris Mo

Partner, PwC Hong Kong

Tel: +[852] 2289 2941

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