PwC's Responsible AI

AI you can trust

The potential offered by AI is exciting, but with it comes risk. If you’re implementing an AI solution then you need to have trust in its outputs.

Your stakeholders, including board members, customers, and regulators, will have many questions about your organisation's use of AI and data, from how it’s developed to how it’s governed. You not only need to be ready to provide the answers, you must also demonstrate ongoing governance and regulatory compliance.

Organisations globally are recognising the need for Responsible AI

64%

Boost AI security with validation, monitoring, verification

61%

Create transparent, explainable, provable AI models

55%

Create systems that are ethical, understandable, legal

52%

Improve governance with AI operating models, processes

47%

Test for bias in data, models, human use of algorithms

3%

We currently have no plans to address those AI issues

_{Source: PwC US - 2019 AI Predictions

Base: 1,001

Q: What steps will your organisation take in 2019 to develop AI systems that are responsible, that is trustworthy, fair and stable?}

PwC’s Responsible AI Toolkit

Our Responsible AI Toolkit is a suite of customisable frameworks, tools and processes designed to help you harness the power of AI in an ethical and responsible manner - from strategy through execution. With the Responsible AI toolkit, we’ll tailor our solutions to address your organisation’s unique business requirements and AI maturity.

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